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55a288e5 | 1 | /************************************************************************** |
2 | * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. * | |
3 | * * | |
4 | * Author: The ALICE Off-line Project. * | |
5 | * Contributors are mentioned in the code where appropriate. * | |
6 | * * | |
7 | * Permission to use, copy, modify and distribute this software and its * | |
8 | * documentation strictly for non-commercial purposes is hereby granted * | |
9 | * without fee, provided that the above copyright notice appears in all * | |
10 | * copies and that both the copyright notice and this permission notice * | |
11 | * appear in the supporting documentation. The authors make no claims * | |
12 | * about the suitability of this software for any purpose. It is * | |
13 | * provided "as is" without express or implied warranty. * | |
14 | **************************************************************************/ | |
15 | ||
16 | /* $Id$ */ | |
17 | ||
18 | ///////////////////////////////////////////////////////////////////////////////// | |
19 | // | |
20 | // AliTRDCalibraFit | |
21 | // | |
22 | // This class is for the TRD calibration of the relative gain factor, the drift velocity, | |
23 | // the time 0 and the pad response function. It fits the histos. | |
24 | // The 2D histograms or vectors (first converted in 1D histos) will be fitted | |
25 | // if they have enough entries, otherwise the (default) value of the choosen database | |
26 | // will be put. For the relative gain calibration the resulted factors will be globally | |
27 | // normalized to the gain factors of the choosen database. It unables to precise | |
28 | // previous calibration procedure. | |
29 | // The function SetDebug enables the user to see: | |
30 | // _fDebug = 0: nothing, only the values are written in the tree if wanted | |
31 | // _fDebug = 1: a comparaison of the coefficients found and the default values | |
32 | // in the choosen database. | |
33 | // fCoef , histogram of the coefs as function of the calibration group number | |
34 | // fDelta , histogram of the relative difference of the coef with the default | |
35 | // value in the database as function of the calibration group number | |
36 | // fError , dirstribution of this relative difference | |
37 | // _fDebug = 2: only the fit of the choosen calibration group fFitVoir (SetFitVoir) | |
38 | // _fDebug = 3: The coefficients in the choosen detector fDet (SetDet) as function of the | |
39 | // pad row and col number | |
40 | // _fDebug = 4; The coeffcicients in the choosen detector fDet (SetDet) like in the 3 but with | |
41 | // also the comparaison histograms of the 1 for this detector | |
42 | // | |
43 | // | |
44 | // Author: | |
45 | // R. Bailhache (R.Bailhache@gsi.de) | |
46 | // | |
47 | ////////////////////////////////////////////////////////////////////////////////////// | |
48 | ||
49 | #include <TTree.h> | |
50 | #include <TLine.h> | |
51 | #include <TH1I.h> | |
52 | #include <TStyle.h> | |
53 | #include <TProfile2D.h> | |
54 | #include <TFile.h> | |
55 | #include <TCanvas.h> | |
56 | #include <TGraphErrors.h> | |
57 | #include <TGraph.h> | |
58 | #include <TObjArray.h> | |
59 | #include <TH1.h> | |
60 | #include <TH1F.h> | |
61 | #include <TF1.h> | |
62 | #include <TH2F.h> | |
63 | #include <TAxis.h> | |
64 | #include <TStopwatch.h> | |
65 | #include <TMath.h> | |
66 | #include <TLegend.h> | |
67 | #include <TDirectory.h> | |
68 | #include <TROOT.h> | |
69 | ||
70 | #include "AliLog.h" | |
71 | #include "AliCDBManager.h" | |
72 | ||
73 | #include "AliTRDCalibraFit.h" | |
74 | #include "AliTRDCalibraMode.h" | |
75 | #include "AliTRDCalibraVector.h" | |
76 | #include "AliTRDcalibDB.h" | |
77 | #include "AliTRDgeometry.h" | |
55a288e5 | 78 | #include "./Cal/AliTRDCalROC.h" |
79 | #include "./Cal/AliTRDCalPad.h" | |
80 | #include "./Cal/AliTRDCalDet.h" | |
81 | ||
82 | ||
83 | ClassImp(AliTRDCalibraFit) | |
84 | ||
85 | AliTRDCalibraFit* AliTRDCalibraFit::fgInstance = 0; | |
86 | Bool_t AliTRDCalibraFit::fgTerminated = kFALSE; | |
87 | ||
88 | //_____________singleton implementation_________________________________________________ | |
89 | AliTRDCalibraFit *AliTRDCalibraFit::Instance() | |
90 | { | |
91 | // | |
92 | // Singleton implementation | |
93 | // | |
94 | ||
95 | if (fgTerminated != kFALSE) { | |
96 | return 0; | |
97 | } | |
98 | ||
99 | if (fgInstance == 0) { | |
100 | fgInstance = new AliTRDCalibraFit(); | |
101 | } | |
102 | ||
103 | return fgInstance; | |
104 | ||
105 | } | |
106 | ||
107 | //______________________________________________________________________________________ | |
108 | void AliTRDCalibraFit::Terminate() | |
109 | { | |
110 | // | |
111 | // Singleton implementation | |
112 | // Deletes the instance of this class | |
113 | // | |
114 | ||
115 | fgTerminated = kTRUE; | |
116 | ||
117 | if (fgInstance != 0) { | |
118 | delete fgInstance; | |
119 | fgInstance = 0; | |
120 | } | |
121 | ||
122 | } | |
123 | ||
124 | //______________________________________________________________________________________ | |
125 | AliTRDCalibraFit::AliTRDCalibraFit() | |
126 | :TObject() | |
f162af62 | 127 | ,fGeo(0) |
55a288e5 | 128 | ,fWriteNameCoef(0) |
129 | ,fFitPHOn(kFALSE) | |
130 | ,fFitPol2On(kFALSE) | |
131 | ,fFitLagrPolOn(kFALSE) | |
132 | ,fTakeTheMaxPH(kFALSE) | |
133 | ,fFitPHPeriode(0) | |
134 | ,fFitPHNDB(1) | |
135 | ,fBeginFitCharge(0.0) | |
136 | ,fT0Shift(0.0) | |
137 | ,fRangeFitPRF(0.0) | |
138 | ,fFitPRFOn(kFALSE) | |
139 | ,fRMSPRFOn(kFALSE) | |
140 | ,fFitPRFNDB(0) | |
141 | ,fMeanChargeOn(kFALSE) | |
142 | ,fFitChargeBisOn(kFALSE) | |
143 | ,fFitChargeOn(kFALSE) | |
144 | ,fFitMeanWOn(kFALSE) | |
145 | ,fFitChargeNDB(0) | |
146 | ,fAccCDB(kFALSE) | |
147 | ,fMinEntries(0) | |
148 | ,fRebin(0) | |
149 | ,fNumberFit(0) | |
150 | ,fNumberFitSuccess(0) | |
151 | ,fNumberEnt(0) | |
152 | ,fStatisticMean(0.0) | |
153 | ,fDebug(0) | |
154 | ,fFitVoir(0) | |
155 | ,fCalibraMode(0) | |
156 | ,fPRF(0) | |
157 | ,fGain(0) | |
158 | ,fT0(0) | |
159 | ,fVdrift(0) | |
160 | ,fVdriftDetector(0) | |
161 | ,fVdriftPad(0x0) | |
162 | ,fT0Detector(0) | |
163 | ,fT0Pad(0x0) | |
164 | ,fPRFDetector(0) | |
165 | ,fPRFPad(0x0) | |
166 | ,fCoefCH(0x0) | |
167 | ,fScaleFitFactor(0.0) | |
168 | ,fEntriesCurrent(0) | |
169 | ,fCalibraVector(0) | |
170 | ,fVectorFitCH(0) | |
171 | { | |
172 | // | |
173 | // Default constructor | |
174 | // | |
175 | ||
f162af62 | 176 | fGeo = new AliTRDgeometry(); |
55a288e5 | 177 | fCalibraMode = new AliTRDCalibraMode(); |
178 | ||
179 | // Write | |
180 | for (Int_t i = 0; i < 3; i++) { | |
181 | fWriteCoef[i] = kFALSE; | |
182 | } | |
183 | ||
184 | // Debug Mode | |
185 | for (Int_t k = 0; k < 3; k++) { | |
186 | fDet[k] = 0; | |
187 | } | |
188 | ||
189 | for (Int_t i = 0; i < 3; i++) { | |
190 | fPhd[i] = 0.0; | |
191 | } | |
192 | ||
193 | // Init | |
194 | Init(); | |
195 | ||
196 | } | |
197 | ||
198 | //______________________________________________________________________________________ | |
199 | AliTRDCalibraFit::AliTRDCalibraFit(const AliTRDCalibraFit &c) | |
200 | :TObject(c) | |
f162af62 | 201 | ,fGeo(0) |
55a288e5 | 202 | ,fWriteNameCoef(0) |
203 | ,fFitPHOn(kFALSE) | |
204 | ,fFitPol2On(kFALSE) | |
205 | ,fFitLagrPolOn(kFALSE) | |
206 | ,fTakeTheMaxPH(kFALSE) | |
207 | ,fFitPHPeriode(0) | |
208 | ,fFitPHNDB(1) | |
209 | ,fBeginFitCharge(0.0) | |
210 | ,fT0Shift(0.0) | |
211 | ,fRangeFitPRF(0.0) | |
212 | ,fFitPRFOn(kFALSE) | |
213 | ,fRMSPRFOn(kFALSE) | |
214 | ,fFitPRFNDB(0) | |
215 | ,fMeanChargeOn(kFALSE) | |
216 | ,fFitChargeBisOn(kFALSE) | |
217 | ,fFitChargeOn(kFALSE) | |
218 | ,fFitMeanWOn(kFALSE) | |
219 | ,fFitChargeNDB(0) | |
220 | ,fAccCDB(kFALSE) | |
221 | ,fMinEntries(0) | |
222 | ,fRebin(0) | |
223 | ,fNumberFit(0) | |
224 | ,fNumberFitSuccess(0) | |
225 | ,fNumberEnt(0) | |
226 | ,fStatisticMean(0.0) | |
227 | ,fDebug(0) | |
228 | ,fFitVoir(0) | |
229 | ,fCalibraMode(0) | |
230 | ,fPRF(0) | |
231 | ,fGain(0) | |
232 | ,fT0(0) | |
233 | ,fVdrift(0) | |
234 | ,fVdriftDetector(0) | |
235 | ,fVdriftPad(0x0) | |
236 | ,fT0Detector(0) | |
237 | ,fT0Pad(0x0) | |
238 | ,fPRFDetector(0) | |
239 | ,fPRFPad(0x0) | |
240 | ,fCoefCH(0x0) | |
241 | ,fScaleFitFactor(0.0) | |
242 | ,fEntriesCurrent(0) | |
243 | ,fCalibraVector(0) | |
244 | ,fVectorFitCH(0) | |
245 | { | |
246 | // | |
247 | // Copy constructor | |
248 | // | |
249 | ||
250 | } | |
251 | ||
252 | //____________________________________________________________________________________ | |
253 | AliTRDCalibraFit::~AliTRDCalibraFit() | |
254 | { | |
255 | // | |
256 | // AliTRDCalibraFit destructor | |
257 | // | |
258 | ||
259 | ClearTree(); | |
260 | ||
f162af62 | 261 | if (fGeo) { |
262 | delete fGeo; | |
263 | } | |
264 | ||
55a288e5 | 265 | } |
266 | ||
267 | //_____________________________________________________________________________ | |
268 | void AliTRDCalibraFit::Destroy() | |
269 | { | |
270 | // | |
271 | // Delete instance | |
272 | // | |
273 | ||
274 | if (fgInstance) { | |
275 | delete fgInstance; | |
276 | fgInstance = 0x0; | |
277 | } | |
278 | ||
279 | } | |
280 | ||
281 | //_____________________________________________________________________________ | |
282 | void AliTRDCalibraFit::ClearTree() | |
283 | { | |
284 | // | |
285 | // Delete the trees | |
286 | // | |
287 | ||
288 | if (fPRF) { | |
289 | delete fPRF; | |
290 | fPRF = 0x0; | |
291 | } | |
292 | if (fGain) { | |
293 | delete fGain; | |
294 | fGain = 0x0; | |
295 | } | |
296 | if (fT0) { | |
297 | delete fT0; | |
298 | fT0 = 0x0; | |
299 | } | |
300 | if (fVdrift) { | |
301 | delete fVdrift; | |
302 | fVdrift = 0x0; | |
303 | } | |
304 | ||
305 | } | |
306 | ||
307 | //_____________________________________________________________________________ | |
308 | void AliTRDCalibraFit::Init() | |
309 | { | |
310 | // | |
311 | // Init some default values | |
312 | // | |
313 | ||
314 | // Write | |
315 | fWriteNameCoef = "TRD.coefficient.root"; | |
316 | ||
317 | // Fit | |
318 | fFitPHPeriode = 1; | |
319 | fBeginFitCharge = 3.5; | |
320 | fRangeFitPRF = 1.0; | |
321 | fMinEntries = 800; | |
322 | fT0Shift = 0.126256; | |
323 | ||
324 | // Internal variables | |
325 | ||
326 | // Variables in the loop | |
327 | for (Int_t k = 0; k < 4; k++) { | |
328 | fChargeCoef[k] = 1.0; | |
329 | fVdriftCoef[k] = 1.5; | |
330 | fT0Coef[k] = -1.0; | |
331 | } | |
332 | fChargeCoef[4] = 1.0; | |
333 | for (Int_t i = 0; i < 3; i++) { | |
334 | fPRFCoef[i] = -1.0; | |
335 | } | |
336 | ||
337 | // Local database to be changed | |
338 | fRebin = 1; | |
339 | ||
340 | } | |
341 | ||
342 | //____________Functions fit Online CH2d________________________________________ | |
343 | Bool_t AliTRDCalibraFit::FitCHOnline(TH2I *ch) | |
344 | { | |
345 | // | |
346 | // Fit the 1D histos, projections of the 2D ch on the Xaxis, for each | |
347 | // calibration group normalized the resulted coefficients (to 1 normally) | |
348 | // and write the results in a tree | |
349 | // | |
350 | ||
351 | //A small check | |
352 | if((fFitChargeNDB == 0) && (!fFitChargeOn)){ | |
353 | AliInfo("You have choosen to write the default fit method but it is not on!"); | |
354 | return kFALSE; | |
355 | } | |
356 | if((fFitChargeNDB == 1) && (!fMeanChargeOn)){ | |
357 | AliInfo("You have choosen to write the mean method but it is not on!"); | |
358 | return kFALSE; | |
359 | } | |
360 | if((fFitChargeNDB == 2) && (!fFitChargeBisOn)){ | |
361 | AliInfo("You have choosen to write the second fit method but it is not on!"); | |
362 | return kFALSE; | |
363 | } | |
364 | if((fFitChargeNDB == 4) && (!fFitMeanWOn)){ | |
365 | AliInfo("You have choosen to write the mean w method but it is not on!"); | |
366 | return kFALSE; | |
367 | } | |
368 | ||
369 | ||
370 | // Number of Xbins (detectors or groups of pads) | |
371 | TAxis *xch = ch->GetXaxis(); | |
372 | Int_t nbins = xch->GetNbins(); | |
373 | TAxis *yph = ch->GetYaxis(); | |
374 | Int_t nybins = yph->GetNbins(); | |
375 | if (!InitFit(nbins,0)) { | |
376 | return kFALSE; | |
377 | } | |
378 | fStatisticMean = 0.0; | |
379 | fNumberFit = 0; | |
380 | fNumberFitSuccess = 0; | |
381 | fNumberEnt = 0; | |
382 | ||
383 | // Init fCountDet and fCount | |
384 | InitfCountDetAndfCount(0); | |
385 | ||
386 | // Beginning of the loop betwwen dect1 and dect2 | |
387 | for (Int_t idect = fDect1[0]; idect < fDect2[0]; idect++) { | |
388 | ||
389 | TH1I *projch = (TH1I *) ch->ProjectionY("projch",idect+1,idect+1,(Option_t *)"e"); | |
390 | projch->SetDirectory(0); | |
391 | ||
392 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
393 | UpdatefCountDetAndfCount(idect,0); | |
394 | ||
395 | // Reconstruction of the row and pad group: rowmin, row max ... | |
396 | ReconstructFitRowMinRowMax(idect, 0); | |
397 | ||
398 | // Number of entries for this calibration group | |
399 | Double_t nentries = 0.0; | |
400 | Double_t mean = 0.0; | |
401 | for (Int_t k = 0; k < nybins; k++) { | |
402 | nentries += ch->GetBinContent(ch->GetBin(idect+1,k+1)); | |
403 | mean += projch->GetBinCenter(k+1)*projch->GetBinContent(k+1); | |
404 | } | |
405 | if (nentries > 0) { | |
406 | fNumberEnt++; | |
407 | mean /= nentries; | |
408 | } | |
409 | ||
410 | ||
411 | // Rebin and statistic stuff | |
412 | // Rebin | |
413 | if (fRebin > 1) { | |
414 | projch = ReBin((TH1I *) projch); | |
415 | } | |
416 | // This detector has not enough statistics or was off | |
417 | if (nentries < fMinEntries) { | |
418 | // Fill with the default infos | |
419 | NotEnoughStatistic(idect,0); | |
420 | // Memory!!! | |
421 | if (fDebug != 2) { | |
422 | delete projch; | |
423 | } | |
424 | continue; | |
425 | } | |
426 | ||
427 | // Statistics of the group fitted | |
428 | AliInfo(Form("For the group number %d there are %f stats",idect,nentries)); | |
429 | fStatisticMean += nentries; | |
430 | fNumberFit++; | |
431 | ||
432 | ||
433 | // Method Mean and fit | |
434 | // idect is egal for fDebug = 0 and 2, only to fill the hist | |
435 | fChargeCoef[1] = mean; | |
436 | if(fMeanChargeOn){ | |
437 | FitMean((TH1 *) projch,(Int_t) (idect-fDect1[0]),nentries); | |
438 | } | |
439 | if(fFitChargeOn){ | |
440 | FitCH((TH1 *) projch,(Int_t) (idect-fDect1[0])); | |
441 | } | |
442 | if(fFitChargeBisOn) { | |
443 | FitBisCH((TH1 *) projch,(Int_t) (idect-fDect1[0])); | |
444 | } | |
445 | if(fFitMeanWOn){ | |
446 | FitMeanW((TH1 *) projch,(Int_t) (idect-fDect1[0])); | |
447 | } | |
448 | ||
449 | // Visualise the detector for fDebug 3 or 4 | |
450 | // Here is the reconstruction of the pad and row group is used! | |
451 | if (fDebug >= 3) { | |
452 | FillCoefChargeDB(); | |
453 | } | |
454 | // Fill Infos Fit | |
455 | FillInfosFit(idect,0); | |
456 | ||
457 | // Memory!!! | |
458 | if (fDebug != 2) { | |
459 | delete projch; | |
460 | } | |
461 | ||
462 | ||
463 | } // Boucle object | |
464 | ||
465 | ||
466 | // Normierungcharge | |
467 | if (fDebug != 2) { | |
468 | NormierungCharge(); | |
469 | } | |
470 | ||
471 | // Plot | |
472 | // 0 no plot, 1 and 4 error plot, 3 and 4 DB plot | |
473 | if ((fDebug == 1) || | |
474 | (fDebug == 4)) { | |
475 | PlotWriteCH(); | |
476 | } | |
477 | if ((fDebug == 4) || | |
478 | (fDebug == 3)) { | |
479 | PlotCHDB(); | |
480 | } | |
481 | ||
482 | // Mean Statistic | |
483 | if (fNumberFit > 0) { | |
484 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
485 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
486 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
487 | , (Int_t) fStatisticMean/fNumberFit, fNumberFitSuccess)); | |
488 | fStatisticMean = fStatisticMean / fNumberFit; | |
489 | } | |
490 | else { | |
491 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
492 | } | |
493 | ||
494 | // Write the things! | |
495 | ConvertVectorFitCHTree(); | |
496 | if (fWriteCoef[0]) { | |
497 | WriteFitInfos(0); | |
498 | } | |
499 | ||
500 | return kTRUE; | |
501 | ||
502 | } | |
503 | ||
504 | //____________Functions fit Online CH2d________________________________________ | |
505 | Bool_t AliTRDCalibraFit::FitCHOnline() | |
506 | { | |
507 | // | |
508 | // Reconstruct a 1D histo from the vectorCH for each calibration group, | |
509 | // fit the histo, normalized the resulted coefficients (to 1 normally) | |
510 | // and write the results in a tree | |
511 | // | |
512 | ||
513 | //A small check | |
514 | if((fFitChargeNDB == 0) && (!fFitChargeOn)){ | |
515 | AliInfo("You have choosen to write the default fit method but it is not on!"); | |
516 | return kFALSE; | |
517 | } | |
518 | if((fFitChargeNDB == 1) && (!fMeanChargeOn)){ | |
519 | AliInfo("You have choosen to write the mean method but it is not on!"); | |
520 | return kFALSE; | |
521 | } | |
522 | if((fFitChargeNDB == 2) && (!fFitChargeBisOn)){ | |
523 | AliInfo("You have choosen to write the second fit method but it is not on!"); | |
524 | return kFALSE; | |
525 | } | |
526 | if((fFitChargeNDB == 4) && (!fFitMeanWOn)){ | |
527 | AliInfo("You have choosen to write the mean w method but it is not on!"); | |
528 | return kFALSE; | |
529 | } | |
530 | ||
531 | ||
532 | //Warning | |
533 | if (!fCalibraVector) { | |
534 | AliError("You have first to set the calibravector before using this function!"); | |
535 | return kFALSE; | |
536 | } | |
537 | ||
538 | // Number of Xbins (detectors or groups of pads) | |
539 | if (!InitFit(0,0)) { | |
540 | return kFALSE; | |
541 | } | |
542 | fStatisticMean = 0.0; | |
543 | fNumberFit = 0; | |
544 | fNumberFitSuccess = 0; | |
545 | fNumberEnt = 0; | |
546 | ||
547 | // Init fCountDet and fCount | |
548 | InitfCountDetAndfCount(0); | |
549 | ||
550 | // Beginning of the loop between dect1 and dect2 | |
551 | for (Int_t idect = fDect1[0]; idect < fDect2[0]; idect++) { | |
552 | ||
553 | // Search if the group is in the VectorCH | |
554 | Int_t place = fCalibraVector->SearchInVector(idect,0); | |
555 | ||
556 | // Is in | |
557 | TH1F *projch = 0x0; | |
558 | TString name("CH"); | |
559 | name += idect; | |
560 | if (place != -1) { | |
561 | projch = fCalibraVector->ConvertVectorCTHisto(place,(const char *) name); | |
562 | projch->SetDirectory(0); | |
563 | } | |
564 | ||
565 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
566 | UpdatefCountDetAndfCount(idect,0); | |
567 | ||
568 | // Reconstruction of the row and pad group: rowmin, row max ... | |
569 | ReconstructFitRowMinRowMax(idect,0); | |
570 | ||
571 | // Number of entries and mean | |
572 | Double_t nentries = 0.0; | |
573 | Double_t mean = 0.0; | |
574 | if (projch) { | |
575 | for (Int_t k = 0; k < fCalibraVector->GetNumberBinCharge(); k++) { | |
576 | nentries += projch->GetBinContent(k+1); | |
577 | mean += projch->GetBinCenter(k+1)*projch->GetBinContent(k+1); | |
578 | } | |
579 | } | |
580 | if (nentries > 0) { | |
581 | fNumberEnt++; | |
582 | mean /= nentries; | |
583 | } | |
584 | ||
585 | // Rebin and statistic stuff | |
586 | // Rebin | |
587 | if ((fRebin > 1) && | |
588 | (place != -1)) { | |
589 | projch = ReBin((TH1F *) projch); | |
590 | } | |
591 | ||
592 | // This detector has not enough statistics or was not found in VectorCH | |
593 | if ((place == -1) || | |
594 | ((place != -1) && | |
595 | (nentries < fMinEntries))) { | |
596 | ||
597 | // Fill with the default infos | |
598 | NotEnoughStatistic(idect,0); | |
599 | ||
600 | // Memory!!! | |
601 | if (fDebug != 2) { | |
602 | delete projch; | |
603 | } | |
604 | ||
605 | continue; | |
606 | ||
607 | } | |
608 | ||
609 | // Statistic of the histos fitted | |
610 | AliInfo(Form("For the group number %d there are %f stats",idect,nentries)); | |
611 | fStatisticMean += nentries; | |
612 | fNumberFit++; | |
613 | ||
614 | ||
615 | // Method Mean and fit | |
616 | // idect is egal for fDebug = 0 and 2, only to fill the hist | |
617 | fChargeCoef[1] = mean; | |
618 | if(fMeanChargeOn){ | |
619 | FitMean((TH1 *) projch,(Int_t) (idect-fDect1[0]),nentries); | |
620 | } | |
621 | if(fFitChargeOn){ | |
622 | FitCH((TH1 *) projch,(Int_t) (idect-fDect1[0])); | |
623 | } | |
624 | if(fFitChargeBisOn) { | |
625 | FitBisCH((TH1 *) projch,(Int_t) (idect-fDect1[0])); | |
626 | } | |
627 | if(fFitMeanWOn){ | |
628 | FitMeanW((TH1 *) projch,(Int_t) (idect-fDect1[0])); | |
629 | } | |
630 | ||
631 | // Visualise the detector for fDebug 3 or 4 | |
632 | // Here is the reconstruction of the pad and row group is used! | |
633 | if (fDebug >= 3) { | |
634 | FillCoefChargeDB(); | |
635 | } | |
636 | ||
637 | // Fill Infos Fit | |
638 | FillInfosFit(idect,0); | |
639 | ||
640 | // Memory!!! | |
641 | if (fDebug != 2) { | |
642 | delete projch; | |
643 | } | |
644 | ||
645 | } // Boucle object | |
646 | ||
647 | ||
648 | // Normierungcharge | |
649 | if (fDebug != 2) { | |
650 | NormierungCharge(); | |
651 | } | |
652 | ||
653 | ||
654 | // Plot | |
655 | // 0 no plot, 1 and 4 error plot, 3 and 4 DB plot | |
656 | if ((fDebug == 1) || | |
657 | (fDebug == 4)){ | |
658 | PlotWriteCH(); | |
659 | } | |
660 | if((fDebug == 4) || | |
661 | (fDebug == 3)){ | |
662 | PlotCHDB(); | |
663 | } | |
664 | ||
665 | // Mean Statistics | |
666 | if (fNumberFit > 0) { | |
667 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
668 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
669 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
670 | ,(Int_t) fStatisticMean/fNumberFit, fNumberFitSuccess)); | |
671 | fStatisticMean = fStatisticMean / fNumberFit; | |
672 | } | |
673 | else { | |
674 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
675 | } | |
676 | ||
677 | // Write the things! | |
678 | ConvertVectorFitCHTree(); | |
679 | if (fWriteCoef[0]) { | |
680 | WriteFitInfos(0); | |
681 | } | |
682 | ||
683 | return kTRUE; | |
684 | ||
685 | } | |
686 | ||
687 | //____________Functions fit Online CH2d________________________________________ | |
688 | Bool_t AliTRDCalibraFit::FitCHOnline(TTree *tree) | |
689 | { | |
690 | // | |
691 | // Look if the calibration group can be found in the tree, if yes take the | |
692 | // histo, fit it, normalized the resulted coefficients (to 1 normally) and | |
693 | // write the results in a tree | |
694 | // | |
695 | ||
696 | //A small check | |
697 | if((fFitChargeNDB == 0) && (!fFitChargeOn)){ | |
698 | AliInfo("You have choosen to write the default fit method but it is not on!"); | |
699 | return kFALSE; | |
700 | } | |
701 | if((fFitChargeNDB == 1) && (!fMeanChargeOn)){ | |
702 | AliInfo("You have choosen to write the mean method but it is not on!"); | |
703 | return kFALSE; | |
704 | } | |
705 | if((fFitChargeNDB == 2) && (!fFitChargeBisOn)){ | |
706 | AliInfo("You have choosen to write the second fit method but it is not on!"); | |
707 | return kFALSE; | |
708 | } | |
709 | if((fFitChargeNDB == 4) && (!fFitMeanWOn)){ | |
710 | AliInfo("You have choosen to write the mean w method but it is not on!"); | |
711 | return kFALSE; | |
712 | } | |
713 | ||
714 | ||
715 | // Number of Xbins (detectors or groups of pads) | |
716 | if (!InitFit(0,0)) { | |
717 | return kFALSE; | |
718 | } | |
719 | fStatisticMean = 0.0; | |
720 | fNumberFit = 0; | |
721 | fNumberFitSuccess = 0; | |
722 | fNumberEnt = 0; | |
723 | ||
724 | // Initialise | |
725 | fCalibraVector = new AliTRDCalibraVector(); | |
726 | ||
727 | ||
728 | // Init fCountDet and fCount | |
729 | InitfCountDetAndfCount(0); | |
730 | TH1F *projch = 0x0; | |
731 | tree->SetBranchAddress("histo",&projch); | |
732 | TObjArray *vectorplace = fCalibraVector->ConvertTreeVector(tree); | |
733 | ||
734 | // Beginning of the loop between dect1 and dect2 | |
735 | for (Int_t idect = fDect1[0]; idect < fDect2[0]; idect++) { | |
736 | ||
737 | //Search if the group is in the VectorCH | |
738 | Int_t place = fCalibraVector->SearchInTreeVector(vectorplace,idect); | |
739 | ||
740 | // Is in | |
741 | if (place != -1) { | |
742 | // Variable | |
743 | tree->GetEntry(place); | |
744 | } | |
745 | ||
746 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
747 | UpdatefCountDetAndfCount(idect,0); | |
748 | ||
749 | // Reconstruction of the row and pad group: rowmin, row max ... | |
750 | ReconstructFitRowMinRowMax(idect,0); | |
751 | ||
752 | // Number of entries and mean | |
753 | Double_t nentries = 0.0; | |
754 | Double_t mean = 0.0; | |
755 | if (projch) { | |
756 | for (Int_t k = 0; k < projch->GetXaxis()->GetNbins(); k++) { | |
757 | nentries += projch->GetBinContent(k+1); | |
758 | mean += projch->GetBinCenter(k+1)*projch->GetBinContent(k+1); | |
759 | } | |
760 | } | |
761 | if (nentries > 0) { | |
762 | fNumberEnt++; | |
763 | mean /= nentries; | |
764 | } | |
765 | ||
766 | ||
767 | // Rebin and statistic stuff | |
768 | // Rebin | |
769 | if ((fRebin > 1) && | |
770 | (place != -1)) { | |
771 | projch = ReBin((TH1F *) projch); | |
772 | } | |
773 | ||
774 | // This detector has not enough statistics or was not found in VectorCH | |
775 | if((place == -1) || | |
776 | ((place != -1) && | |
777 | (nentries < fMinEntries))) { | |
778 | ||
779 | // Fill with the default infos | |
780 | NotEnoughStatistic(idect,0); | |
781 | ||
782 | continue; | |
783 | ||
784 | } | |
785 | ||
786 | // Statistics of the group fitted | |
787 | AliInfo(Form("For the group number %d there are %f stats",idect,nentries)); | |
788 | fNumberFit++; | |
789 | fStatisticMean += nentries; | |
790 | ||
791 | // Method Mean and fit | |
792 | // idect is egal for fDebug = 0 and 2, only to fill the hist | |
793 | fChargeCoef[1] = mean; | |
794 | if(fMeanChargeOn){ | |
795 | FitMean((TH1 *) projch,(Int_t) (idect-fDect1[0]),nentries); | |
796 | } | |
797 | if(fFitChargeOn){ | |
798 | FitCH((TH1 *) projch,(Int_t) (idect-fDect1[0])); | |
799 | } | |
800 | if(fFitChargeBisOn) { | |
801 | FitBisCH((TH1 *) projch,(Int_t) (idect-fDect1[0])); | |
802 | } | |
803 | if(fFitMeanWOn){ | |
804 | FitMeanW((TH1 *) projch,(Int_t) (idect-fDect1[0])); | |
805 | } | |
806 | ||
807 | // Visualise the detector for fDebug 3 or 4 | |
808 | // Here is the reconstruction of the pad and row group is used! | |
809 | if (fDebug >= 3) { | |
810 | FillCoefChargeDB(); | |
811 | } | |
812 | ||
813 | // Fill Infos Fit | |
814 | FillInfosFit(idect,0); | |
815 | ||
816 | } // Boucle object | |
817 | ||
818 | ||
819 | // Normierungcharge | |
820 | if (fDebug != 2) { | |
821 | NormierungCharge(); | |
822 | } | |
823 | ||
824 | ||
825 | // Plot | |
826 | // 0 no plot, 1 and 4 error plot, 3 and 4 DB plot | |
827 | if ((fDebug == 1) || | |
828 | (fDebug == 4)){ | |
829 | PlotWriteCH(); | |
830 | } | |
831 | if ((fDebug == 4) || | |
832 | (fDebug == 3)){ | |
833 | PlotCHDB(); | |
834 | } | |
835 | ||
836 | // Mean Statistic | |
837 | if (fNumberFit > 0) { | |
838 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
839 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
840 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
841 | ,(Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); | |
842 | fStatisticMean = fStatisticMean / fNumberFit; | |
843 | } | |
844 | else { | |
845 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
846 | } | |
847 | ||
848 | // Write the things! | |
849 | ConvertVectorFitCHTree(); | |
850 | if (fWriteCoef[0]) { | |
851 | WriteFitInfos(0); | |
852 | } | |
853 | ||
854 | ||
855 | return kTRUE; | |
856 | ||
857 | } | |
858 | ||
859 | //________________functions fit Online PH2d____________________________________ | |
860 | Bool_t AliTRDCalibraFit::FitPHOnline(TProfile2D *ph) | |
861 | { | |
862 | // | |
863 | // Take the 1D profiles (average pulse height), projections of the 2D PH | |
864 | // on the Xaxis, for each calibration group | |
865 | // Fit or use the slope of the average pulse height to reconstruct the | |
866 | // drift velocity write the results in a tree | |
867 | // A first calibration of T0 is also made using the same method (slope method) | |
868 | // | |
869 | ||
870 | //A small check | |
871 | if((fFitPHNDB == 0) && (!fFitPHOn)){ | |
872 | AliInfo("You have choosen to write the fit method but it is not on!"); | |
873 | return kFALSE; | |
874 | } | |
875 | if((fFitPHNDB == 1) && (!fFitPol2On)){ | |
876 | AliInfo("You have choosen to write the Pol2 method but it is not on!"); | |
877 | return kFALSE; | |
878 | } | |
879 | if((fFitPHNDB == 3) && (!fFitLagrPolOn)){ | |
880 | AliInfo("You have choosen to write the LagrPol2 method but it is not on!"); | |
881 | return kFALSE; | |
882 | } | |
883 | ||
884 | // Number of Xbins (detectors or groups of pads) | |
885 | TAxis *xph = ph->GetXaxis(); | |
886 | TAxis *yph = ph->GetYaxis(); | |
887 | Int_t nbins = xph->GetNbins(); | |
888 | Int_t nybins = yph->GetNbins(); | |
889 | if (!InitFit(nbins,1)) { | |
890 | return kFALSE; | |
891 | } | |
892 | fStatisticMean = 0.0; | |
893 | fNumberFit = 0; | |
894 | fNumberFitSuccess = 0; | |
895 | fNumberEnt = 0; | |
896 | ||
897 | // Init fCountDet and fCount | |
898 | InitfCountDetAndfCount(1); | |
899 | ||
900 | // Beginning of the loop | |
901 | for (Int_t idect = fDect1[1]; idect < fDect2[1]; idect++) { | |
902 | ||
903 | TH1D *projph = (TH1D *) ph->ProjectionY("projph",idect+1,idect+1,(Option_t *) "e"); | |
904 | projph->SetDirectory(0); | |
905 | ||
906 | // Number of entries for this calibration group | |
907 | Double_t nentries = 0; | |
908 | for (Int_t k = 0; k < nybins; k++) { | |
909 | nentries += ph->GetBinEntries(ph->GetBin(idect+1,k+1)); | |
910 | } | |
911 | if (nentries > 0) { | |
912 | fNumberEnt++; | |
913 | } | |
914 | ||
915 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
916 | UpdatefCountDetAndfCount(idect,1); | |
917 | ||
918 | // Reconstruction of the row and pad group: rowmin, row max ... | |
919 | ReconstructFitRowMinRowMax(idect,1); | |
920 | ||
921 | // Rebin and statistic stuff | |
922 | // This detector has not enough statistics or was off | |
923 | if (nentries < fMinEntries) { | |
924 | ||
925 | // Fill with the default values | |
926 | NotEnoughStatistic(idect,1); | |
927 | ||
928 | // Memory!!! | |
929 | if (fDebug != 2) { | |
930 | delete projph; | |
931 | } | |
932 | ||
933 | continue; | |
934 | ||
935 | } | |
936 | ||
937 | // Statistics of the histos fitted | |
938 | AliInfo(Form("For the group number %d there are %f stats",idect,nentries)); | |
939 | fNumberFit++; | |
940 | fStatisticMean += nentries; | |
941 | ||
942 | // Calcul of "real" coef | |
943 | CalculVdriftCoefMean(fCountDet[1],(Int_t) (idect - fDect1[1])); | |
944 | CalculT0CoefMean(fCountDet[1],(Int_t) (idect - fDect1[1])); | |
945 | ||
946 | // Method Mean and fit | |
947 | // idect is egal for fDebug = 0 and 2, only to fill the hist | |
948 | if(fFitPol2On){ | |
949 | FitPente((TH1 *) projph,(Int_t) (idect - fDect1[1])); | |
950 | } | |
951 | if(fFitLagrPolOn){ | |
952 | FitLagrangePoly((TH1 *) projph,(Int_t) (idect - fDect1[1])); | |
953 | } | |
954 | if (fFitPHOn) { | |
955 | FitPH((TH1 *) projph,(Int_t) (idect - fDect1[1])); | |
956 | } | |
957 | ||
958 | // Visualise the detector for fDebug 3 or 4 | |
959 | // Here is the reconstruction of the pad and row group is used! | |
960 | if (fDebug >= 3) { | |
961 | FillCoefVdriftDB(); | |
962 | FillCoefT0DB(); | |
963 | } | |
964 | // Fill the tree if end of a detector or only the pointer to the branch!!! | |
965 | FillInfosFit(idect,1); | |
966 | // Memory!!! | |
967 | if (fDebug != 2) { | |
968 | delete projph; | |
969 | } | |
970 | ||
971 | } // Boucle object | |
972 | ||
973 | ||
974 | // Plot | |
975 | // 0 no plot, 1 and 4 error plot, 3 and 4 DB plot | |
976 | if ((fDebug == 1) || | |
977 | (fDebug == 4)) { | |
978 | PlotWritePH(); | |
979 | PlotWriteT0(); | |
980 | } | |
981 | if ((fDebug == 4) || | |
982 | (fDebug == 3)) { | |
983 | PlotPHDB(); | |
984 | PlotT0DB(); | |
985 | } | |
986 | ||
987 | // Mean Statistic | |
988 | if (fNumberFit > 0) { | |
989 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
990 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
991 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
992 | ,(Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); | |
993 | fStatisticMean = fStatisticMean / fNumberFit; | |
994 | } | |
995 | else { | |
996 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
997 | } | |
998 | ||
999 | // Write the things! | |
1000 | if(fWriteCoef[1]) { | |
1001 | WriteFitInfos(1); | |
1002 | } | |
1003 | ||
1004 | return kTRUE; | |
1005 | ||
1006 | } | |
1007 | ||
1008 | //____________Functions fit Online PH2d________________________________________ | |
1009 | Bool_t AliTRDCalibraFit::FitPHOnline() | |
1010 | { | |
1011 | // | |
1012 | // Reconstruct the average pulse height from the vectorPH for each | |
1013 | // calibration group | |
1014 | // Fit or use the slope of the average pulse height to reconstruct the | |
1015 | // drift velocity write the results in a tree | |
1016 | // A first calibration of T0 is also made using the same method (slope method) | |
1017 | // | |
1018 | ||
1019 | //A small check | |
1020 | if((fFitPHNDB == 0) && (!fFitPHOn)){ | |
1021 | AliInfo("You have choosen to write the fit method but it is not on!"); | |
1022 | return kFALSE; | |
1023 | } | |
1024 | if((fFitPHNDB == 1) && (!fFitPol2On)){ | |
1025 | AliInfo("You have choosen to write the Pol2 method but it is not on!"); | |
1026 | return kFALSE; | |
1027 | } | |
1028 | if((fFitPHNDB == 3) && (!fFitLagrPolOn)){ | |
1029 | AliInfo("You have choosen to write the LagrPol2 method but it is not on!"); | |
1030 | return kFALSE; | |
1031 | } | |
1032 | ||
1033 | //Warning | |
1034 | if (!fCalibraVector) { | |
1035 | AliError("You have first to set the calibravector before using this function!"); | |
1036 | return kFALSE; | |
1037 | } | |
1038 | ||
1039 | ||
1040 | // Number of Xbins (detectors or groups of pads) | |
1041 | if (!InitFit(0,1)) { | |
1042 | return kFALSE; | |
1043 | } | |
1044 | fStatisticMean = 0.0; | |
1045 | fNumberFit = 0; | |
1046 | fNumberFitSuccess = 0; | |
1047 | fNumberEnt = 0; | |
1048 | ||
1049 | // Init fCountDet and fCount | |
1050 | InitfCountDetAndfCount(1); | |
1051 | ||
1052 | // Beginning of the loop | |
1053 | for (Int_t idect = fDect1[1]; idect < fDect2[1]; idect++) { | |
1054 | ||
1055 | // Search if the group is in the VectorCH | |
1056 | Int_t place = fCalibraVector->SearchInVector(idect,1); | |
1057 | ||
1058 | // Is in | |
1059 | TH1F *projph = 0x0; | |
1060 | TString name("PH"); | |
1061 | name += idect; | |
1062 | if (place != -1) { | |
1063 | //Entries | |
1064 | fNumberEnt++; | |
1065 | projph = CorrectTheError((TGraphErrors *) (fCalibraVector->ConvertVectorPHisto(place,(const char *) name))); | |
1066 | projph->SetDirectory(0); | |
1067 | } | |
1068 | ||
1069 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
1070 | UpdatefCountDetAndfCount(idect,1); | |
1071 | ||
1072 | // Reconstruction of the row and pad group: rowmin, row max ... | |
1073 | ReconstructFitRowMinRowMax(idect,1); | |
1074 | ||
1075 | // Rebin and statistic stuff | |
1076 | // This detector has not enough statistics or was off | |
1077 | if ((place == -1) || | |
1078 | ((place != -1) && | |
1079 | (fEntriesCurrent < fMinEntries))) { | |
1080 | ||
1081 | // Fill with the default values | |
1082 | NotEnoughStatistic(idect,1); | |
1083 | ||
1084 | // Memory!!! | |
1085 | if (fDebug != 2) { | |
1086 | delete projph; | |
1087 | } | |
1088 | ||
1089 | continue; | |
1090 | ||
1091 | } | |
1092 | ||
1093 | // Statistic of the histos fitted | |
1094 | AliInfo(Form("For the group number %d there are %d stats",idect,fEntriesCurrent)); | |
1095 | fNumberFit++; | |
1096 | fStatisticMean += fEntriesCurrent; | |
1097 | ||
1098 | // Calcul of "real" coef | |
1099 | CalculVdriftCoefMean(fCountDet[1],(Int_t) (idect - fDect1[1])); | |
1100 | CalculT0CoefMean(fCountDet[1],(Int_t) (idect - fDect1[1])); | |
1101 | ||
1102 | // Method Mean and fit | |
1103 | // idect is egal for fDebug = 0 and 2, only to fill the hist | |
1104 | if(fFitPol2On){ | |
1105 | FitPente((TH1 *) projph,(Int_t) (idect - fDect1[1])); | |
1106 | } | |
1107 | if(fFitLagrPolOn){ | |
1108 | FitLagrangePoly((TH1 *) projph,(Int_t) (idect - fDect1[1])); | |
1109 | } | |
1110 | if (fFitPHOn) { | |
1111 | FitPH((TH1 *) projph,(Int_t) (idect - fDect1[1])); | |
1112 | } | |
1113 | ||
1114 | // Visualise the detector for fDebug 3 or 4 | |
1115 | // Here is the reconstruction of the pad and row group is used! | |
1116 | if (fDebug >= 3) { | |
1117 | FillCoefVdriftDB(); | |
1118 | FillCoefT0DB(); | |
1119 | } | |
1120 | ||
1121 | // Fill the tree if end of a detector or only the pointer to the branch!!! | |
1122 | FillInfosFit(idect,1); | |
1123 | ||
1124 | // Memory!!! | |
1125 | if (fDebug != 2) { | |
1126 | delete projph; | |
1127 | } | |
1128 | ||
1129 | } // Boucle object | |
1130 | ||
1131 | ||
1132 | // Plot | |
1133 | // 0 no plot, 1 and 4 error plot, 3 and 4 DB plot | |
1134 | if ((fDebug == 1) || | |
1135 | (fDebug == 4)) { | |
1136 | PlotWritePH(); | |
1137 | PlotWriteT0(); | |
1138 | } | |
1139 | if ((fDebug == 4) || | |
1140 | (fDebug == 3)) { | |
1141 | PlotPHDB(); | |
1142 | PlotT0DB(); | |
1143 | } | |
1144 | ||
1145 | // Mean Statistic | |
1146 | if (fNumberFit > 0) { | |
1147 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
1148 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
1149 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
1150 | ,(Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); | |
1151 | fStatisticMean = fStatisticMean / fNumberFit; | |
1152 | } | |
1153 | else { | |
1154 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1155 | } | |
1156 | ||
1157 | // Write the things! | |
1158 | if (fWriteCoef[1]) { | |
1159 | WriteFitInfos(1); | |
1160 | } | |
1161 | ||
1162 | return kTRUE; | |
1163 | ||
1164 | } | |
1165 | ||
1166 | //____________Functions fit Online PH2d________________________________________ | |
1167 | Bool_t AliTRDCalibraFit::FitPHOnline(TTree *tree) | |
1168 | { | |
1169 | // | |
1170 | // Look if the calibration group can be found in the tree, if yes take the | |
1171 | // histo, fit it, and write the results in a tree | |
1172 | // A first calibration of T0 is also made using the same method (slope method) | |
1173 | // | |
1174 | ||
1175 | //A small check | |
1176 | if ((fFitPHNDB == 0) && (!fFitPHOn)){ | |
1177 | AliInfo("You have choosen to write the fit method but it is not on!"); | |
1178 | return kFALSE; | |
1179 | } | |
1180 | if ((fFitPHNDB == 1) && (!fFitPol2On)){ | |
1181 | AliInfo("You have choosen to write the Pol2 method but it is not on!"); | |
1182 | return kFALSE; | |
1183 | } | |
1184 | if ((fFitPHNDB == 3) && (!fFitLagrPolOn)){ | |
1185 | AliInfo("You have choosen to write the LagrPol2 method but it is not on!"); | |
1186 | return kFALSE; | |
1187 | } | |
1188 | ||
1189 | // Number of Xbins (detectors or groups of pads) | |
1190 | if (!InitFit(0,1)) { | |
1191 | return kFALSE; | |
1192 | } | |
1193 | fStatisticMean = 0.0; | |
1194 | fNumberFit = 0; | |
1195 | fNumberFitSuccess = 0; | |
1196 | fNumberEnt = 0; | |
1197 | ||
1198 | // Initialise | |
1199 | fCalibraVector = new AliTRDCalibraVector(); | |
1200 | ||
1201 | // Init fCountDet and fCount | |
1202 | InitfCountDetAndfCount(1); | |
1203 | TGraphErrors *projphtree = 0x0; | |
1204 | tree->SetBranchAddress("histo",&projphtree); | |
1205 | TObjArray *vectorplace = fCalibraVector->ConvertTreeVector(tree); | |
1206 | ||
1207 | // Beginning of the loop | |
1208 | for (Int_t idect = fDect1[1]; idect < fDect2[1]; idect++) { | |
1209 | ||
1210 | // Search if the group is in the VectorCH | |
1211 | Int_t place = fCalibraVector->SearchInTreeVector(vectorplace,idect); | |
1212 | ||
1213 | TH1F *projph = 0x0; | |
1214 | // Is in | |
1215 | if (place != -1) { | |
1216 | //Entries | |
1217 | fNumberEnt++; | |
1218 | // Variable | |
1219 | tree->GetEntry(place); | |
1220 | projph = CorrectTheError(projphtree); | |
1221 | } | |
1222 | ||
1223 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
1224 | UpdatefCountDetAndfCount(idect,1); | |
1225 | ||
1226 | // Reconstruction of the row and pad group: rowmin, row max ... | |
1227 | ReconstructFitRowMinRowMax(idect,1); | |
1228 | ||
1229 | // Rebin and statistic stuff | |
1230 | // This detector has not enough statistics or was off | |
1231 | if((place == -1) || | |
1232 | ((place != -1) && | |
1233 | (fEntriesCurrent < fMinEntries))) { | |
1234 | ||
1235 | // Fill with the default values | |
1236 | NotEnoughStatistic(idect,1); | |
1237 | ||
1238 | // Memory!!! | |
1239 | if (fDebug != 2) { | |
1240 | delete projph; | |
1241 | } | |
1242 | ||
1243 | continue; | |
1244 | ||
1245 | } | |
1246 | ||
1247 | // Statistics of the histos fitted | |
1248 | AliInfo(Form("For the group number %d there are %d stats",idect,fEntriesCurrent)); | |
1249 | fNumberFit++; | |
1250 | fStatisticMean += fEntriesCurrent; | |
1251 | ||
1252 | // Calcul of "real" coef | |
1253 | CalculVdriftCoefMean(fCountDet[1],(Int_t) (idect - fDect1[1])); | |
1254 | CalculT0CoefMean(fCountDet[1],(Int_t) (idect - fDect1[1])); | |
1255 | ||
1256 | // Method Mean and fit | |
1257 | // idect is egal for fDebug = 0 and 2, only to fill the hist | |
1258 | if(fFitPol2On){ | |
1259 | FitPente((TH1 *) projph,(Int_t) (idect - fDect1[1])); | |
1260 | } | |
1261 | if(fFitLagrPolOn){ | |
1262 | FitLagrangePoly((TH1 *) projph,(Int_t) (idect - fDect1[1])); | |
1263 | } | |
1264 | if (fFitPHOn) { | |
1265 | FitPH((TH1 *) projph,(Int_t) (idect - fDect1[1])); | |
1266 | } | |
1267 | ||
1268 | // Visualise the detector for fDebug 3 or 4 | |
1269 | // Here is the reconstruction of the pad and row group is used! | |
1270 | if (fDebug >= 3) { | |
1271 | FillCoefVdriftDB(); | |
1272 | FillCoefT0DB(); | |
1273 | } | |
1274 | ||
1275 | // Fill the tree if end of a detector or only the pointer to the branch!!! | |
1276 | FillInfosFit(idect,1); | |
1277 | ||
1278 | // Memory!!! | |
1279 | if (fDebug != 2) { | |
1280 | delete projph; | |
1281 | } | |
1282 | ||
1283 | } // Boucle object | |
1284 | ||
1285 | // Plot | |
1286 | // 0 no plot, 1 and 4 error plot, 3 and 4 DB plot | |
1287 | if ((fDebug == 1) || | |
1288 | (fDebug == 4)){ | |
1289 | PlotWritePH(); | |
1290 | PlotWriteT0(); | |
1291 | } | |
1292 | if ((fDebug == 4) || | |
1293 | (fDebug == 3)){ | |
1294 | PlotPHDB(); | |
1295 | PlotT0DB(); | |
1296 | } | |
1297 | ||
1298 | // Mean Statistics | |
1299 | if (fNumberFit > 0) { | |
1300 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
1301 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
1302 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
1303 | ,(Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); | |
1304 | fStatisticMean = fStatisticMean / fNumberFit; | |
1305 | } | |
1306 | else { | |
1307 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1308 | } | |
1309 | ||
1310 | // Write the things! | |
1311 | if (fWriteCoef[1]) { | |
1312 | WriteFitInfos(1); | |
1313 | } | |
1314 | ||
1315 | return kTRUE; | |
1316 | ||
1317 | } | |
1318 | ||
1319 | //____________Functions fit Online PRF2d_______________________________________ | |
1320 | Bool_t AliTRDCalibraFit::FitPRFOnline(TProfile2D *prf) | |
1321 | { | |
1322 | // | |
1323 | // Take the 1D profiles (pad response function), projections of the 2D PRF | |
1324 | // on the Xaxis, for each calibration group | |
1325 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
1326 | // write the results in a tree | |
1327 | // | |
1328 | ||
1329 | // A small check | |
1330 | if ((fFitPRFNDB == 2) && (!fRMSPRFOn)){ | |
1331 | AliInfo("You have choosen to write the RMS method but it is not on!"); | |
1332 | return kFALSE; | |
1333 | } | |
1334 | if ((fFitPRFNDB == 0) && (!fFitPRFOn)){ | |
1335 | AliInfo("You have choosen to write the fit method but it is not on!"); | |
1336 | return kFALSE; | |
1337 | } | |
1338 | ||
1339 | // Number of Xbins (detectors or groups of pads) | |
1340 | TAxis *xprf = prf->GetXaxis(); | |
1341 | TAxis *yprf = prf->GetYaxis(); | |
1342 | Int_t nybins = yprf->GetNbins(); | |
1343 | Int_t nbins = xprf->GetNbins(); | |
1344 | if (!InitFit(nbins,2)) { | |
1345 | return kFALSE; | |
1346 | } | |
1347 | fStatisticMean = 0.0; | |
1348 | fNumberFit = 0; | |
1349 | fNumberFitSuccess = 0; | |
1350 | fNumberEnt = 0; | |
1351 | ||
1352 | // Init fCountDet and fCount | |
1353 | InitfCountDetAndfCount(2); | |
1354 | ||
1355 | // Beginning of the loop | |
1356 | for (Int_t idect = fDect1[2]; idect < fDect2[2]; idect++) { | |
1357 | ||
1358 | TH1D *projprf = (TH1D *) prf->ProjectionY("projprf",idect+1,idect+1,(Option_t *) "e"); | |
1359 | projprf->SetDirectory(0); | |
1360 | ||
1361 | // Number of entries for this calibration group | |
1362 | Double_t nentries = 0; | |
1363 | for (Int_t k = 0; k < nybins; k++) { | |
1364 | nentries += prf->GetBinEntries(prf->GetBin(idect+1,k+1)); | |
1365 | } | |
1366 | if(nentries > 0) fNumberEnt++; | |
1367 | ||
1368 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
1369 | UpdatefCountDetAndfCount(idect,2); | |
1370 | ||
1371 | // Reconstruction of the row and pad group: rowmin, row max ... | |
1372 | ReconstructFitRowMinRowMax(idect,2); | |
1373 | ||
1374 | // Rebin and statistic stuff | |
1375 | // This detector has not enough statistics or was off | |
1376 | if (nentries < fMinEntries) { | |
1377 | ||
1378 | // Fill with the default values | |
1379 | NotEnoughStatistic(idect,2); | |
1380 | ||
1381 | // Memory! | |
1382 | if (fDebug != 2) { | |
1383 | delete projprf; | |
1384 | } | |
1385 | ||
1386 | continue; | |
1387 | ||
1388 | } | |
1389 | ||
1390 | // Statistics of the histos fitted | |
1391 | AliInfo(Form("For the group number %d there are %f stats",idect,nentries)); | |
1392 | fNumberFit++; | |
1393 | fStatisticMean += nentries; | |
1394 | ||
1395 | // Calcul of "real" coef | |
1396 | if ((fDebug == 1) || | |
1397 | (fDebug == 4)) { | |
1398 | CalculPRFCoefMean(fCountDet[2],(Int_t) (idect - fDect1[2])); | |
1399 | } | |
1400 | ||
1401 | // Method Mean and fit | |
1402 | // idect is egal for fDebug = 0 and 2, only to fill the hist | |
1403 | if(fFitPRFOn){ | |
1404 | FitPRF((TH1 *) projprf,(Int_t) (idect - fDect1[2])); | |
1405 | } | |
1406 | if(fRMSPRFOn){ | |
1407 | RmsPRF((TH1 *) projprf,(Int_t) (idect - fDect1[2])); | |
1408 | } | |
1409 | ||
1410 | ||
1411 | // Visualise the detector for fDebug 3 or 4 | |
1412 | // Here is the reconstruction of the pad and row group is used! | |
1413 | if (fDebug >= 3) { | |
1414 | FillCoefPRFDB(); | |
1415 | } | |
1416 | ||
1417 | // Fill the tree if end of a detector or only the pointer to the branch!!! | |
1418 | FillInfosFit(idect,2); | |
1419 | ||
1420 | // Memory!!! | |
1421 | if (fDebug != 2) { | |
1422 | delete projprf; | |
1423 | } | |
1424 | ||
1425 | } // Boucle object | |
1426 | ||
1427 | // Plot | |
1428 | // No plot, 1 and 4 error plot, 3 and 4 DB plot | |
1429 | if ((fDebug == 1) || | |
1430 | (fDebug == 4)) { | |
1431 | PlotWritePRF(); | |
1432 | } | |
1433 | if ((fDebug == 4) || | |
1434 | (fDebug == 3)){ | |
1435 | PlotPRFDB(); | |
1436 | } | |
1437 | ||
1438 | // Mean Statistic | |
1439 | if (fNumberFit > 0) { | |
1440 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
1441 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
1442 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
1443 | ,(Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); | |
1444 | fStatisticMean = fStatisticMean / fNumberFit; | |
1445 | } | |
1446 | else { | |
1447 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1448 | } | |
1449 | ||
1450 | // Write the things! | |
1451 | if (fWriteCoef[2]) { | |
1452 | WriteFitInfos(2); | |
1453 | } | |
1454 | ||
1455 | return kTRUE; | |
1456 | ||
1457 | } | |
1458 | ||
1459 | //____________Functions fit Online PRF2d_______________________________________ | |
1460 | Bool_t AliTRDCalibraFit::FitPRFOnline() | |
1461 | { | |
1462 | // | |
1463 | // Reconstruct the 1D histo (pad response function) from the vectorPRD for | |
1464 | // each calibration group | |
1465 | // Fit with a gaussian to reconstruct the sigma of the pad response function | |
1466 | // write the results in a tree | |
1467 | // | |
1468 | ||
1469 | // A small check | |
1470 | if ((fFitPRFNDB == 2) && (!fRMSPRFOn)){ | |
1471 | AliInfo("You have choosen to write the RMS method but it is not on!"); | |
1472 | return kFALSE; | |
1473 | } | |
1474 | if ((fFitPRFNDB == 0) && (!fFitPRFOn)){ | |
1475 | AliInfo("You have choosen to write the fit method but it is not on!"); | |
1476 | return kFALSE; | |
1477 | } | |
1478 | ||
1479 | // Warning | |
1480 | if (!fCalibraVector) { | |
1481 | AliError("You have first to set the calibravector before using this function!"); | |
1482 | return kFALSE; | |
1483 | } | |
1484 | ||
1485 | // Number of Xbins (detectors or groups of pads) | |
1486 | if (!InitFit(0,2)) { | |
1487 | return kFALSE; | |
1488 | } | |
1489 | fStatisticMean = 0.0; | |
1490 | fNumberFit = 0; | |
1491 | fNumberFitSuccess = 0; | |
1492 | fNumberEnt = 0; | |
1493 | ||
1494 | // Init fCountDet and fCount | |
1495 | InitfCountDetAndfCount(2); | |
1496 | ||
1497 | // Beginning of the loop | |
1498 | for (Int_t idect = fDect1[2]; idect < fDect2[2]; idect++) { | |
1499 | ||
1500 | // Search if the group is in the VectorCH | |
1501 | Int_t place = fCalibraVector->SearchInVector(idect,2); | |
1502 | ||
1503 | // Is in | |
1504 | TH1F *projprf = 0x0; | |
1505 | TString name("PRF"); | |
1506 | name += idect; | |
1507 | if (place != -1) { | |
1508 | //Entries | |
1509 | fNumberEnt++; | |
1510 | projprf = CorrectTheError((TGraphErrors *) (fCalibraVector->ConvertVectorPHisto(place,(const char *)name))); | |
1511 | projprf->SetDirectory(0); | |
1512 | } | |
1513 | ||
1514 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
1515 | UpdatefCountDetAndfCount(idect,2); | |
1516 | ||
1517 | // Reconstruction of the row and pad group: rowmin, row max ... | |
1518 | ReconstructFitRowMinRowMax(idect,2); | |
1519 | ||
1520 | // Rebin and statistic stuff | |
1521 | // This detector has not enough statistics or was off | |
1522 | if ((place == -1) || | |
1523 | ((place != -1) && | |
1524 | (fEntriesCurrent < fMinEntries))) { | |
1525 | ||
1526 | // Fill with the default values | |
1527 | NotEnoughStatistic(idect,2); | |
1528 | ||
1529 | // Memory | |
1530 | if (fDebug != 2) { | |
1531 | delete projprf; | |
1532 | } | |
1533 | ||
1534 | continue; | |
1535 | ||
1536 | } | |
1537 | ||
1538 | // Statistic of the histos fitted | |
1539 | AliInfo(Form("For the group number %d there are %d stats", idect,fEntriesCurrent)); | |
1540 | fNumberFit++; | |
1541 | fStatisticMean += fEntriesCurrent; | |
1542 | ||
1543 | // Calcul of "real" coef | |
1544 | if ((fDebug == 1) || | |
1545 | (fDebug == 4)) { | |
1546 | CalculPRFCoefMean(fCountDet[2],(Int_t) (idect-fDect1[2])); | |
1547 | } | |
1548 | ||
1549 | // Method Mean and fit | |
1550 | // idect is egal for fDebug = 0 and 2, only to fill the hist | |
1551 | if(fFitPRFOn){ | |
1552 | FitPRF((TH1 *) projprf,(Int_t) (idect-fDect1[2])); | |
1553 | } | |
1554 | if(fRMSPRFOn){ | |
1555 | RmsPRF((TH1 *) projprf,(Int_t) (idect-fDect1[2])); | |
1556 | } | |
1557 | ||
1558 | // Visualise the detector for fDebug 3 or 4 | |
1559 | // Here is the reconstruction of the pad and row group is used! | |
1560 | if (fDebug >= 3) { | |
1561 | FillCoefPRFDB(); | |
1562 | } | |
1563 | // Fill the tree if end of a detector or only the pointer to the branch!!! | |
1564 | FillInfosFit(idect,2); | |
1565 | ||
1566 | // Memory!!! | |
1567 | if (fDebug != 2) { | |
1568 | delete projprf; | |
1569 | } | |
1570 | ||
1571 | } // Boucle object | |
1572 | ||
1573 | // Plot | |
1574 | // No plot, 1 and 4 error plot, 3 and 4 DB plot | |
1575 | if ((fDebug == 1) || | |
1576 | (fDebug == 4)) { | |
1577 | PlotWritePRF(); | |
1578 | } | |
1579 | if ((fDebug == 4) || | |
1580 | (fDebug == 3)) { | |
1581 | PlotPRFDB(); | |
1582 | } | |
1583 | ||
1584 | // Mean Statistics | |
1585 | if (fNumberFit > 0) { | |
1586 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
1587 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
1588 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
1589 | ,(Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); | |
1590 | } | |
1591 | else { | |
1592 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1593 | } | |
1594 | ||
1595 | // Write the things! | |
1596 | if (fWriteCoef[2]) { | |
1597 | WriteFitInfos(2); | |
1598 | } | |
1599 | ||
1600 | return kTRUE; | |
1601 | ||
1602 | } | |
1603 | ||
1604 | //____________Functions fit Online PRF2d_______________________________________ | |
1605 | Bool_t AliTRDCalibraFit::FitPRFOnline(TTree *tree) | |
1606 | { | |
1607 | // | |
1608 | // Look if the calibration group can be found in the tree, if yes take | |
1609 | // the histo, fit it, and write the results in a tree | |
1610 | // | |
1611 | ||
1612 | // A small check | |
1613 | if ((fFitPRFNDB == 2) && (!fRMSPRFOn)){ | |
1614 | AliInfo("You have choosen to write the RMS method but it is not on!"); | |
1615 | return kFALSE; | |
1616 | } | |
1617 | if ((fFitPRFNDB == 0) && (!fFitPRFOn)){ | |
1618 | AliInfo("You have choosen to write the fit method but it is not on!"); | |
1619 | return kFALSE; | |
1620 | } | |
1621 | ||
1622 | // Number of Xbins (detectors or groups of pads) | |
1623 | if (!InitFit(0,2)) { | |
1624 | return kFALSE; | |
1625 | } | |
1626 | fStatisticMean = 0.0; | |
1627 | fNumberFit = 0; | |
1628 | fNumberFitSuccess = 0; | |
1629 | fNumberEnt = 0; | |
1630 | ||
1631 | // Initialise | |
1632 | fCalibraVector = new AliTRDCalibraVector(); | |
1633 | ||
1634 | // Init fCountDet and fCount | |
1635 | InitfCountDetAndfCount(2); | |
1636 | TGraphErrors *projprftree = 0x0; | |
1637 | tree->SetBranchAddress("histo",&projprftree); | |
1638 | TObjArray *vectorplace = fCalibraVector->ConvertTreeVector(tree); | |
1639 | ||
1640 | // Beginning of the loop | |
1641 | for (Int_t idect = fDect1[2]; idect < fDect2[2]; idect++) { | |
1642 | ||
1643 | // Search if the group is in the VectorCH | |
1644 | Int_t place = fCalibraVector->SearchInTreeVector(vectorplace,idect); | |
1645 | ||
1646 | // Is in | |
1647 | TH1F *projprf = 0x0; | |
1648 | if (place != -1) { | |
1649 | //Entries | |
1650 | fNumberEnt++; | |
1651 | // Variable | |
1652 | tree->GetEntry(place); | |
1653 | projprf = CorrectTheError(projprftree); | |
1654 | } | |
1655 | ||
1656 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
1657 | UpdatefCountDetAndfCount(idect,2); | |
1658 | ||
1659 | // Reconstruction of the row and pad group: rowmin, row max ... | |
1660 | ReconstructFitRowMinRowMax(idect,2); | |
1661 | ||
1662 | // Rebin and statistic stuff | |
1663 | // This detector has not enough statistics or was off | |
1664 | if ((place == -1) || | |
1665 | ((place != -1) && | |
1666 | (fEntriesCurrent < fMinEntries))) { | |
1667 | ||
1668 | // Fill with the default values | |
1669 | NotEnoughStatistic(idect,2); | |
1670 | ||
1671 | // Memory!!! | |
1672 | if (fDebug != 2) { | |
1673 | delete projprf; | |
1674 | } | |
1675 | ||
1676 | continue; | |
1677 | ||
1678 | } | |
1679 | ||
1680 | // Statistics of the histos fitted | |
1681 | AliInfo(Form("For the group number %d there are %d stats",idect,fEntriesCurrent)); | |
1682 | fNumberFit++; | |
1683 | fStatisticMean += fEntriesCurrent; | |
1684 | ||
1685 | // Calcul of "real" coef | |
1686 | if ((fDebug == 1) || | |
1687 | (fDebug == 4)){ | |
1688 | CalculPRFCoefMean(fCountDet[2],(Int_t) (idect - fDect1[2])); | |
1689 | } | |
1690 | ||
1691 | // Method Mean and fit | |
1692 | // idect is egal for fDebug = 0 and 2, only to fill the hist | |
1693 | if(fFitPRFOn){ | |
1694 | FitPRF((TH1 *) projprf,(Int_t) (idect - fDect1[2])); | |
1695 | } | |
1696 | if(fRMSPRFOn){ | |
1697 | RmsPRF((TH1 *) projprf,(Int_t) (idect - fDect1[2])); | |
1698 | } | |
1699 | ||
1700 | // Visualise the detector for fDebug 3 or 4 | |
1701 | // Here is the reconstruction of the pad and row group is used! | |
1702 | if (fDebug >= 3) { | |
1703 | FillCoefPRFDB(); | |
1704 | } | |
1705 | // Fill the tree if end of a detector or only the pointer to the branch!!! | |
1706 | FillInfosFit(idect,2); | |
1707 | ||
1708 | // Memory!!! | |
1709 | if (fDebug != 2) { | |
1710 | delete projprf; | |
1711 | } | |
1712 | ||
1713 | } // Boucle object | |
1714 | ||
1715 | // Plot | |
1716 | // No plot, 1 and 4 error plot, 3 and 4 DB plot | |
1717 | if ((fDebug == 1) || | |
1718 | (fDebug == 4)){ | |
1719 | PlotWritePRF(); | |
1720 | } | |
1721 | if ((fDebug == 4) || | |
1722 | (fDebug == 3)){ | |
1723 | PlotPRFDB(); | |
1724 | } | |
1725 | ||
1726 | // Mean Statistics | |
1727 | if (fNumberFit > 0) { | |
1728 | AliInfo(Form("There are %d with at least one entries.",fNumberEnt)); | |
1729 | AliInfo(Form("%d fits have been proceeded (sucessfully or not...).",fNumberFit)); | |
1730 | AliInfo(Form("There is a mean statistic of: %d over these fitted histograms and %d successfulled fits" | |
1731 | ,(Int_t) fStatisticMean/fNumberFit,fNumberFitSuccess)); | |
1732 | fStatisticMean = fStatisticMean / fNumberFit; | |
1733 | } | |
1734 | else { | |
1735 | AliInfo(Form("There are %d with at least one entries. There is no fit!",fNumberEnt)); | |
1736 | } | |
1737 | ||
1738 | // Write the things! | |
1739 | if (fWriteCoef[2]) { | |
1740 | WriteFitInfos(2); | |
1741 | } | |
1742 | ||
1743 | return kTRUE; | |
1744 | ||
1745 | } | |
1746 | ||
1747 | //____________Functions for seeing if the pad is really okey___________________ | |
1748 | ||
1749 | //_____________________________________________________________________________ | |
1750 | Bool_t AliTRDCalibraFit::SetModeCalibrationFromTObject(TObject *object, Int_t i) | |
1751 | { | |
1752 | // | |
1753 | // Set fNz[i] and fNrphi[i] of the AliTRDCalibraFit::Instance() | |
1754 | // corresponding to the given TObject | |
1755 | // | |
1756 | ||
1757 | const char *nametitle = object->GetTitle(); | |
1758 | ||
1759 | // Some patterns | |
1760 | const Char_t *patternz0 = "Nz0"; | |
1761 | const Char_t *patternz1 = "Nz1"; | |
1762 | const Char_t *patternz2 = "Nz2"; | |
1763 | const Char_t *patternz3 = "Nz3"; | |
1764 | const Char_t *patternz4 = "Nz4"; | |
1765 | const Char_t *patternrphi0 = "Nrphi0"; | |
1766 | const Char_t *patternrphi1 = "Nrphi1"; | |
1767 | const Char_t *patternrphi2 = "Nrphi2"; | |
1768 | const Char_t *patternrphi3 = "Nrphi3"; | |
1769 | const Char_t *patternrphi4 = "Nrphi4"; | |
1770 | const Char_t *patternrphi5 = "Nrphi5"; | |
1771 | const Char_t *patternrphi6 = "Nrphi6"; | |
1772 | ||
1773 | UShort_t testz = 0; | |
1774 | UShort_t testrphi = 0; | |
1775 | ||
1776 | // Nz mode | |
1777 | if (strstr(nametitle,patternz0)) { | |
1778 | testz++; | |
1779 | fCalibraMode->SetNz(i, 0); | |
1780 | } | |
1781 | if (strstr(nametitle,patternz1)) { | |
1782 | testz++; | |
1783 | fCalibraMode->SetNz(i ,1); | |
1784 | } | |
1785 | if (strstr(nametitle,patternz2)) { | |
1786 | testz++; | |
1787 | fCalibraMode->SetNz(i ,2); | |
1788 | } | |
1789 | if (strstr(nametitle,patternz3)) { | |
1790 | testz++; | |
1791 | fCalibraMode->SetNz(i ,3); | |
1792 | } | |
1793 | if (strstr(nametitle,patternz4)) { | |
1794 | testz++; | |
1795 | fCalibraMode->SetNz(i ,4); | |
1796 | } | |
1797 | ||
1798 | // Nrphi mode | |
1799 | if (strstr(nametitle,patternrphi0)) { | |
1800 | testrphi++; | |
1801 | fCalibraMode->SetNrphi(i ,0); | |
1802 | } | |
1803 | if (strstr(nametitle,patternrphi1)) { | |
1804 | testrphi++; | |
1805 | fCalibraMode->SetNrphi(i, 1); | |
1806 | } | |
1807 | if (strstr(nametitle,patternrphi2)) { | |
1808 | testrphi++; | |
1809 | fCalibraMode->SetNrphi(i, 2); | |
1810 | } | |
1811 | if (strstr(nametitle,patternrphi3)) { | |
1812 | testrphi++; | |
1813 | fCalibraMode->SetNrphi(i, 3); | |
1814 | } | |
1815 | if (strstr(nametitle,patternrphi4)) { | |
1816 | testrphi++; | |
1817 | fCalibraMode->SetNrphi(i, 4); | |
1818 | } | |
1819 | if (strstr(nametitle,patternrphi5)) { | |
1820 | testrphi++; | |
1821 | fCalibraMode->SetNrphi(i, 5); | |
1822 | } | |
1823 | if (strstr(nametitle,patternrphi6)) { | |
1824 | testrphi++; | |
1825 | fCalibraMode->SetNrphi(i, 6); | |
1826 | } | |
1827 | ||
1828 | // Look if all is okey | |
1829 | if ((testz == 1) && | |
1830 | (testrphi == 1)) { | |
1831 | return kTRUE; | |
1832 | } | |
1833 | else { | |
1834 | fCalibraMode->SetNrphi(i ,0); | |
1835 | fCalibraMode->SetNz(i ,0); | |
1836 | return kFALSE; | |
1837 | } | |
1838 | ||
1839 | } | |
1840 | ||
1841 | //_____________________________________________________________________________ | |
1842 | AliTRDCalDet *AliTRDCalibraFit::CreateDetObjectTree(TTree *tree, Int_t i) | |
1843 | { | |
1844 | // | |
1845 | // It creates the AliTRDCalDet object from the tree of the coefficient | |
1846 | // for the calibration i (i != 2) | |
1847 | // It takes the mean value of the coefficients per detector | |
1848 | // This object has to be written in the database | |
1849 | // | |
1850 | ||
1851 | // Create the DetObject | |
1852 | AliTRDCalDet *object = 0x0; | |
1853 | if (i == 0) { | |
1854 | object = new AliTRDCalDet("ChamberGainFactor","GainFactor (detector value)"); | |
1855 | } | |
1856 | if (i == 1) { | |
1857 | object = new AliTRDCalDet("ChamberVdrift","TRD drift velocities (detector value)"); | |
1858 | } | |
1859 | else { | |
1860 | object = new AliTRDCalDet("ChamberT0","T0 (detector value)"); | |
1861 | } | |
1862 | ||
1863 | // Read the Tree | |
1864 | Int_t detector = -1; | |
1865 | Float_t values[2304]; | |
1866 | tree->SetBranchAddress("detector",&detector); | |
1867 | if (i == 0) { | |
1868 | tree->SetBranchAddress("gainPad",values); | |
1869 | } | |
1870 | if (i == 1) { | |
1871 | tree->SetBranchAddress("vdrift" ,values); | |
1872 | } | |
1873 | if (i == 3) { | |
1874 | tree->SetBranchAddress("t0" ,values); | |
1875 | } | |
1876 | ||
1877 | // For calculating the mean | |
1878 | Float_t mean = 0.0; | |
1879 | Int_t nto = 0; | |
1880 | Int_t numberofentries = tree->GetEntries(); | |
1881 | ||
1882 | if (numberofentries != 540) { | |
1883 | AliInfo("The tree is not complete"); | |
1884 | } | |
1885 | ||
1886 | for (Int_t det = 0; det < numberofentries; ++det) { | |
1887 | tree->GetEntry(det); | |
1888 | if (GetChamber(detector) == 2) { | |
1889 | nto = 1728; | |
1890 | } | |
1891 | else { | |
1892 | nto = 2304; | |
1893 | } | |
1894 | mean = 0.0; | |
1895 | if(i != 3){ | |
1896 | for (Int_t k = 0; k < nto; k++) { | |
1897 | mean += TMath::Abs(values[k]) / nto; | |
1898 | } | |
1899 | } | |
1900 | else { | |
1901 | for (Int_t k = 0; k < nto; k++) { | |
1902 | if(k == 0) mean = values[k]; | |
1903 | if(mean > values[k]) mean = values[k]; | |
1904 | } | |
1905 | } | |
1906 | object->SetValue(detector,mean); | |
1907 | } | |
1908 | ||
1909 | return object; | |
1910 | ||
1911 | } | |
1912 | ||
1913 | //_____________________________________________________________________________ | |
1914 | TObject *AliTRDCalibraFit::CreatePadObjectTree(TTree *tree, Int_t i | |
1915 | , AliTRDCalDet *detobject) | |
1916 | { | |
1917 | // | |
1918 | // It Creates the AliTRDCalPad object from the tree of the | |
1919 | // coefficient for the calibration i (i != 2) | |
1920 | // You need first to create the object for the detectors, | |
1921 | // where the mean value is put. | |
1922 | // This object has to be written in the database | |
1923 | // | |
1924 | ||
1925 | // Create the DetObject | |
1926 | AliTRDCalPad *object = 0x0; | |
1927 | if (i == 0) { | |
1928 | object = new AliTRDCalPad("GainFactor","GainFactor (local variations)"); | |
1929 | } | |
1930 | if (i == 1) { | |
1931 | object = new AliTRDCalPad("LocalVdrift","TRD drift velocities (local variations)"); | |
1932 | } | |
1933 | else { | |
1934 | object = new AliTRDCalPad("LocalT0","T0 (local variations)"); | |
1935 | } | |
1936 | ||
1937 | // Read the Tree | |
1938 | Int_t detector = -1; | |
1939 | Float_t values[2304]; | |
1940 | tree->SetBranchAddress("detector",&detector); | |
1941 | if (i == 0) { | |
1942 | tree->SetBranchAddress("gainPad",values); | |
1943 | } | |
1944 | if (i == 1) { | |
1945 | tree->SetBranchAddress("vdrift" ,values); | |
1946 | } | |
1947 | if (i == 3) { | |
1948 | tree->SetBranchAddress("t0" ,values); | |
1949 | } | |
1950 | ||
1951 | // Variables | |
1952 | Float_t mean = 0.0; | |
1953 | Int_t numberofentries = tree->GetEntries(); | |
1954 | ||
1955 | if (numberofentries != 540) { | |
1956 | AliInfo("The tree is not complete"); | |
1957 | } | |
1958 | ||
1959 | for (Int_t det = 0; det < numberofentries; ++det) { | |
1960 | tree->GetEntry(det); | |
1961 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
1962 | mean = detobject->GetValue(detector); | |
1963 | if ((mean == 0) && (i != 3)) { | |
1964 | continue; | |
1965 | } | |
1966 | Int_t rowMax = calROC->GetNrows(); | |
1967 | Int_t colMax = calROC->GetNcols(); | |
1968 | for (Int_t row = 0; row < rowMax; ++row) { | |
1969 | for (Int_t col = 0; col < colMax; ++col) { | |
1970 | if(i != 3) calROC->SetValue(col,row,TMath::Abs(values[(Int_t) (col*rowMax+row)])/mean); | |
1971 | else calROC->SetValue(col,row,values[(Int_t) (col*rowMax+row)]-mean); | |
1972 | ||
1973 | } // Col | |
1974 | } // Row | |
1975 | } | |
1976 | ||
1977 | return object; | |
1978 | ||
1979 | } | |
1980 | ||
1981 | //_____________________________________________________________________________ | |
1982 | TObject *AliTRDCalibraFit::CreatePadObjectTree(TTree *tree) | |
1983 | { | |
1984 | // | |
1985 | // It Creates the AliTRDCalPad object from the tree of the | |
1986 | // coefficient for the calibration PRF (i = 2) | |
1987 | // This object has to be written in the database | |
1988 | // | |
1989 | ||
1990 | // Create the DetObject | |
1991 | AliTRDCalPad *object = new AliTRDCalPad("PRFWidth","PRFWidth"); | |
1992 | ||
1993 | // Read the Tree | |
1994 | Int_t detector = -1; | |
1995 | Float_t values[2304]; | |
1996 | tree->SetBranchAddress("detector",&detector); | |
1997 | tree->SetBranchAddress("width" ,values); | |
1998 | ||
1999 | // Variables | |
2000 | Int_t numberofentries = tree->GetEntries(); | |
2001 | ||
2002 | if (numberofentries != 540) { | |
2003 | AliInfo("The tree is not complete"); | |
2004 | } | |
2005 | ||
2006 | for (Int_t det = 0; det < numberofentries; ++det) { | |
2007 | tree->GetEntry(det); | |
2008 | AliTRDCalROC *calROC = object->GetCalROC(detector); | |
2009 | Int_t rowMax = calROC->GetNrows(); | |
2010 | Int_t colMax = calROC->GetNcols(); | |
2011 | for (Int_t row = 0; row < rowMax; ++row) { | |
2012 | for (Int_t col = 0; col < colMax; ++col) { | |
2013 | calROC->SetValue(col,row,TMath::Abs(values[(Int_t) (col*rowMax+row)])); | |
2014 | } // Col | |
2015 | } // Row | |
2016 | } | |
2017 | ||
2018 | return object; | |
2019 | ||
2020 | } | |
2021 | ||
2022 | //_____________________________________________________________________________ | |
2023 | void AliTRDCalibraFit::SetPeriodeFitPH(Int_t periodeFitPH) | |
2024 | { | |
2025 | // | |
2026 | // Set FitPH if 1 then each detector will be fitted | |
2027 | // | |
2028 | ||
2029 | if (periodeFitPH > 0) { | |
2030 | fFitPHPeriode = periodeFitPH; | |
2031 | } | |
2032 | else { | |
2033 | AliInfo("periodeFitPH must be higher than 0!"); | |
2034 | } | |
2035 | ||
2036 | } | |
2037 | ||
2038 | //_____________________________________________________________________________ | |
2039 | void AliTRDCalibraFit::SetFitPRFNDB(Int_t fitPRFNDB) | |
2040 | { | |
2041 | // | |
2042 | // TO choose the method that you write into the database | |
2043 | // | |
2044 | ||
2045 | if ((fitPRFNDB >= 3) || (fitPRFNDB == 1)) { | |
2046 | AliInfo("fitPRFNDB is not a correct number!"); | |
2047 | } | |
2048 | else { | |
2049 | fFitPRFNDB = fitPRFNDB; | |
2050 | } | |
2051 | ||
2052 | } | |
2053 | ||
2054 | //_____________________________________________________________________________ | |
2055 | void AliTRDCalibraFit::SetFitChargeNDB(Int_t fitChargeNDB) | |
2056 | { | |
2057 | // | |
2058 | // To choose the method that you write into the database | |
2059 | // | |
2060 | if ((fitChargeNDB >= 5) || (fitChargeNDB == 3)) { | |
2061 | AliInfo("fitChargeNDB is not a correct number!"); | |
2062 | } | |
2063 | else { | |
2064 | fFitChargeNDB = fitChargeNDB; | |
2065 | } | |
2066 | ||
2067 | } | |
2068 | ||
2069 | //_____________________________________________________________________________ | |
2070 | void AliTRDCalibraFit::SetFitPHNDB(Int_t fitPHNDB) | |
2071 | { | |
2072 | // | |
2073 | // To choose the method that you write into the database | |
2074 | // | |
2075 | ||
2076 | if ((fitPHNDB >= 4) || (fitPHNDB == 2)) { | |
2077 | AliInfo("fitPHNDB is not a correct number!"); | |
2078 | } | |
2079 | else { | |
2080 | fFitPHNDB = fitPHNDB; | |
2081 | } | |
2082 | ||
2083 | } | |
2084 | ||
2085 | //_____________________________________________________________________________ | |
2086 | void AliTRDCalibraFit::SetBeginFitCharge(Float_t beginFitCharge) | |
2087 | { | |
2088 | // | |
2089 | // The fit of the deposited charge distribution begins at | |
2090 | // histo->Mean()/beginFitCharge | |
2091 | // You can here set beginFitCharge | |
2092 | // | |
2093 | ||
2094 | if (beginFitCharge > 0) { | |
2095 | fBeginFitCharge = beginFitCharge; | |
2096 | } | |
2097 | else { | |
2098 | AliInfo("beginFitCharge must be strict positif!"); | |
2099 | } | |
2100 | ||
2101 | } | |
2102 | ||
2103 | //_____________________________________________________________________________ | |
2104 | void AliTRDCalibraFit::SetT0Shift(Float_t t0Shift) | |
2105 | { | |
2106 | // | |
2107 | // The t0 calculated with the maximum positif slope is shift from t0Shift | |
2108 | // You can here set t0Shift | |
2109 | // | |
2110 | ||
2111 | if (t0Shift > 0) { | |
2112 | fT0Shift = t0Shift; | |
2113 | } | |
2114 | else { | |
2115 | AliInfo("t0Shift must be strict positif!"); | |
2116 | } | |
2117 | ||
2118 | } | |
2119 | ||
2120 | //_____________________________________________________________________________ | |
2121 | void AliTRDCalibraFit::SetRangeFitPRF(Float_t rangeFitPRF) | |
2122 | { | |
2123 | // | |
2124 | // The fit of the PRF is from -rangeFitPRF to rangeFitPRF | |
2125 | // You can here set rangeFitPRF | |
2126 | // | |
2127 | ||
2128 | if ((rangeFitPRF > 0) && | |
2129 | (rangeFitPRF <= 1.5)) { | |
2130 | fRangeFitPRF = rangeFitPRF; | |
2131 | } | |
2132 | else { | |
2133 | AliInfo("rangeFitPRF must be between 0 and 1.0"); | |
2134 | } | |
2135 | ||
2136 | } | |
2137 | ||
2138 | //_____________________________________________________________________________ | |
2139 | void AliTRDCalibraFit::SetRebin(Short_t rebin) | |
2140 | { | |
2141 | // | |
2142 | // Rebin with rebin time less bins the Ch histo | |
2143 | // You can set here rebin that should divide the number of bins of CH histo | |
2144 | // | |
2145 | ||
2146 | if (rebin > 0) { | |
2147 | fRebin = rebin; | |
2148 | AliInfo("You have to be sure that fRebin divides fNumberBinCharge used!"); | |
2149 | } | |
2150 | else { | |
2151 | AliInfo("You have to choose a positiv value!"); | |
2152 | } | |
2153 | ||
2154 | } | |
2155 | ||
2156 | //____________Pad Calibration Public___________________________________________ | |
2157 | ||
2158 | //____________Protected Functions______________________________________________ | |
2159 | //____________Create the 2D histo to be filled online__________________________ | |
2160 | // | |
2161 | //____________Fit______________________________________________________________ | |
2162 | //____________Create histos if fDebug == 1 or fDebug >= 3______________________ | |
2163 | ||
2164 | //_____________________________________________________________________________ | |
2165 | void AliTRDCalibraFit::InitArrayFitPH() | |
2166 | { | |
2167 | // | |
2168 | // Initialise fCoefVdrift[3] and fCoefVdriftE[2] to the right dimension | |
2169 | // | |
2170 | ||
2171 | Int_t nbins = fDect2[1]-fDect1[1]; | |
2172 | ||
2173 | fCoefVdrift[2] = new Double_t[nbins]; | |
2174 | ||
2175 | // Init the pointer to nbins | |
2176 | if (fFitPHOn) { | |
2177 | fCoefVdrift[0] = new Double_t[nbins]; | |
2178 | fCoefVdriftE[0] = new Double_t[nbins]; | |
2179 | for(Int_t k = 0; k < nbins; k++){ | |
2180 | fCoefVdriftE[0][k] = 0.0; | |
2181 | } | |
2182 | } | |
2183 | ||
2184 | ||
2185 | if (fFitPol2On){ | |
2186 | fCoefVdrift[1] = new Double_t[nbins]; | |
2187 | fCoefVdriftE[1] = new Double_t[nbins]; | |
2188 | for(Int_t k = 0; k < nbins; k++){ | |
2189 | fCoefVdriftE[1][k] = 0.0; | |
2190 | } | |
2191 | } | |
2192 | if (fFitLagrPolOn){ | |
2193 | fCoefVdrift[3] = new Double_t[nbins]; | |
2194 | fCoefVdriftE[2] = new Double_t[nbins]; | |
2195 | for(Int_t k = 0; k < nbins; k++){ | |
2196 | fCoefVdriftE[2][k] = 0.0; | |
2197 | } | |
2198 | } | |
2199 | ||
2200 | } | |
2201 | ||
2202 | //_____________________________________________________________________________ | |
2203 | void AliTRDCalibraFit::InitArrayFitT0() | |
2204 | { | |
2205 | // | |
2206 | // Initialise fCoefT0[3] and fCoefT0E[2] to the right dimension | |
2207 | // | |
2208 | ||
2209 | Int_t nbins = fDect2[1]-fDect1[1]; | |
2210 | ||
2211 | fCoefT0[2] = new Double_t[nbins]; | |
2212 | ||
2213 | // Init the pointer to nbins | |
2214 | if(fFitPHOn){ | |
2215 | fCoefT0[0] = new Double_t[nbins]; | |
2216 | fCoefT0E[0] = new Double_t[nbins]; | |
2217 | for(Int_t k = 0; k < nbins; k++){ | |
2218 | fCoefT0E[0][k] = 0.0; | |
2219 | } | |
2220 | } | |
2221 | if(fFitPol2On){ | |
2222 | fCoefT0[1] = new Double_t[nbins]; | |
2223 | fCoefT0E[1] = new Double_t[nbins]; | |
2224 | for(Int_t k = 0; k < nbins; k++){ | |
2225 | fCoefT0E[1][k] = 0.0; | |
2226 | } | |
2227 | } | |
2228 | if(fFitLagrPolOn){ | |
2229 | fCoefT0[3] = new Double_t[nbins]; | |
2230 | fCoefT0E[2] = new Double_t[nbins]; | |
2231 | for(Int_t k = 0; k < nbins; k++){ | |
2232 | fCoefT0E[2][k] = 0.0; | |
2233 | } | |
2234 | } | |
2235 | ||
2236 | } | |
2237 | ||
2238 | //_____________________________________________________________________________ | |
2239 | void AliTRDCalibraFit::InitArrayFitCH() | |
2240 | { | |
2241 | // | |
2242 | // Initialise fCoefCharge[4] and fCoefChargeE[3] to the right dimension | |
2243 | // | |
2244 | ||
2245 | Int_t nbins = fDect2[0]-fDect1[0]; | |
2246 | ||
2247 | //Init the pointer to nbins | |
2248 | if(fMeanChargeOn){ | |
2249 | fCoefCharge[1] = new Double_t[nbins]; | |
2250 | fCoefChargeE[1] = new Double_t[nbins]; | |
2251 | for(Int_t k = 0; k < nbins; k++){ | |
2252 | fCoefChargeE[1][k] = 0.0; | |
2253 | } | |
2254 | } | |
2255 | if(fFitMeanWOn){ | |
2256 | fCoefCharge[4] = new Double_t[nbins]; | |
2257 | fCoefChargeE[3] = new Double_t[nbins]; | |
2258 | for(Int_t k = 0; k < nbins; k++){ | |
2259 | fCoefChargeE[3][k] = 0.0; | |
2260 | } | |
2261 | } | |
2262 | if(fFitChargeOn){ | |
2263 | fCoefCharge[0] = new Double_t[nbins]; | |
2264 | fCoefChargeE[0] = new Double_t[nbins]; | |
2265 | for(Int_t k = 0; k < nbins; k++){ | |
2266 | fCoefChargeE[0][k] = 0.0; | |
2267 | } | |
2268 | } | |
2269 | ||
2270 | if(fFitChargeBisOn){ | |
2271 | fCoefCharge[2] = new Double_t[nbins]; | |
2272 | fCoefChargeE[2] = new Double_t[nbins]; | |
2273 | for(Int_t k = 0; k < nbins; k++){ | |
2274 | fCoefChargeE[2][k] = 0.0; | |
2275 | } | |
2276 | } | |
2277 | ||
2278 | fCoefCharge[3] = new Double_t[nbins]; | |
2279 | ||
2280 | } | |
2281 | ||
2282 | //_____________________________________________________________________________ | |
2283 | void AliTRDCalibraFit::InitArrayFitPRF() | |
2284 | { | |
2285 | // | |
2286 | // Initialise fCoefPRF[2] and fCoefPRFE to the right dimension | |
2287 | // | |
2288 | ||
2289 | Int_t nbins = fDect2[2]-fDect1[2]; | |
2290 | fCoefPRF[1] = new Double_t[nbins]; | |
2291 | ||
2292 | //Init the pointer to nbins | |
2293 | if(fFitPRFOn){ | |
2294 | fCoefPRF[0] = new Double_t[nbins]; | |
2295 | fCoefPRFE[0] = new Double_t[nbins]; | |
2296 | for(Int_t k = 0; k < nbins; k++){ | |
2297 | fCoefPRFE[0][k] = 0.0; | |
2298 | } | |
2299 | } | |
2300 | if(fRMSPRFOn){ | |
2301 | fCoefPRF[2] = new Double_t[nbins]; | |
2302 | fCoefPRFE[1] = new Double_t[nbins]; | |
2303 | for(Int_t k = 0; k < nbins; k++){ | |
2304 | fCoefPRFE[1][k] = 0.0; | |
2305 | } | |
2306 | } | |
2307 | } | |
2308 | ||
2309 | //_____________________________________________________________________________ | |
2310 | void AliTRDCalibraFit::CreateFitHistoPRFDB(Int_t rowMax, Int_t colMax) | |
2311 | { | |
2312 | // | |
2313 | // Create the histos for fDebug = 3 and fDebug = 4 (Fit functions) | |
2314 | // | |
2315 | if(fFitPRFOn){ | |
2316 | fCoefPRFDB[0] = new TH2F("coefPRF0","",rowMax,0,rowMax,colMax,0,colMax); | |
2317 | fCoefPRFDB[0]->SetStats(0); | |
2318 | fCoefPRFDB[0]->SetXTitle("row Number"); | |
2319 | fCoefPRFDB[0]->SetYTitle("col Number"); | |
2320 | fCoefPRFDB[0]->SetZTitle("PRF width [pad width units]"); | |
2321 | fCoefPRFDB[0]->SetFillColor(6); | |
2322 | fCoefPRFDB[0]->SetLineColor(6); | |
2323 | } | |
2324 | if(fRMSPRFOn){ | |
2325 | fCoefPRFDB[1] = new TH2F("coefPRF1","",rowMax,0,rowMax,colMax,0,colMax); | |
2326 | fCoefPRFDB[1]->SetStats(0); | |
2327 | fCoefPRFDB[1]->SetXTitle("row Number"); | |
2328 | fCoefPRFDB[1]->SetYTitle("col Number"); | |
2329 | fCoefPRFDB[1]->SetZTitle("PRF width [pad width units]"); | |
2330 | fCoefPRFDB[1]->SetFillColor(1); | |
2331 | fCoefPRFDB[1]->SetLineColor(1); | |
2332 | } | |
2333 | } | |
2334 | ||
2335 | //_____________________________________________________________________________ | |
2336 | void AliTRDCalibraFit::CreateFitHistoCHDB(Int_t rowMax, Int_t colMax) | |
2337 | { | |
2338 | // | |
2339 | // Create the histos for fDebug = 3 and fDebug = 4 (Fit functions) | |
2340 | // | |
2341 | ||
2342 | if(fFitChargeOn){ | |
2343 | fCoefChargeDB[0] = new TH2F("coefchargedb0","",rowMax,0,rowMax,colMax,0,colMax); | |
2344 | fCoefChargeDB[0]->SetStats(0); | |
2345 | fCoefChargeDB[0]->SetXTitle("row Number"); | |
2346 | fCoefChargeDB[0]->SetYTitle("col Number"); | |
2347 | fCoefChargeDB[0]->SetZTitle("f_{g} Fit method"); | |
2348 | fCoefChargeDB[0]->SetFillColor(6); | |
2349 | fCoefChargeDB[0]->SetLineColor(6); | |
2350 | } | |
2351 | if(fFitChargeBisOn){ | |
2352 | fCoefChargeDB[2] = new TH2F("coefchargedb2","",rowMax,0,rowMax,colMax,0,colMax); | |
2353 | fCoefChargeDB[2]->SetStats(0); | |
2354 | fCoefChargeDB[2]->SetXTitle("row Number"); | |
2355 | fCoefChargeDB[2]->SetYTitle("col Number"); | |
2356 | fCoefChargeDB[2]->SetZTitle("f_{g} Fitbis method"); | |
2357 | fCoefChargeDB[2]->SetFillColor(8); | |
2358 | fCoefChargeDB[2]->SetLineColor(8); | |
2359 | } | |
2360 | if(fFitMeanWOn){ | |
2361 | fCoefChargeDB[3] = new TH2F("coefchargedb3","",rowMax,0,rowMax,colMax,0,colMax); | |
2362 | fCoefChargeDB[3]->SetStats(0); | |
2363 | fCoefChargeDB[3]->SetXTitle("row Number"); | |
2364 | fCoefChargeDB[3]->SetYTitle("col Number"); | |
2365 | fCoefChargeDB[3]->SetFillColor(1); | |
2366 | fCoefChargeDB[3]->SetLineColor(1); | |
2367 | ||
2368 | } | |
2369 | if(fMeanChargeOn){ | |
2370 | fCoefChargeDB[1] = new TH2F("coefchargedb1","",rowMax,0,rowMax,colMax,0,colMax); | |
2371 | fCoefChargeDB[1]->SetStats(0); | |
2372 | fCoefChargeDB[1]->SetXTitle("row Number"); | |
2373 | fCoefChargeDB[1]->SetYTitle("col Number"); | |
2374 | fCoefChargeDB[1]->SetZTitle("f_{g} Mean method"); | |
2375 | fCoefChargeDB[1]->SetFillColor(2); | |
2376 | fCoefChargeDB[1]->SetLineColor(2); | |
2377 | } | |
2378 | ||
2379 | } | |
2380 | ||
2381 | //_____________________________________________________________________________ | |
2382 | void AliTRDCalibraFit::CreateFitHistoPHDB(Int_t rowMax, Int_t colMax) | |
2383 | { | |
2384 | // | |
2385 | // Create the histos for fDebug = 3 and fDebug = 4 (Fit functions) | |
2386 | // | |
2387 | ||
2388 | if(fFitPHOn){ | |
2389 | fCoefVdriftDB[0] = new TH2F("coefvdriftdb0","",rowMax,0,rowMax,colMax,0,colMax); | |
2390 | fCoefVdriftDB[0]->SetStats(0); | |
2391 | fCoefVdriftDB[0]->SetXTitle("row Number"); | |
2392 | fCoefVdriftDB[0]->SetYTitle("col Number"); | |
2393 | fCoefVdriftDB[0]->SetZTitle("v_{drift} Fit method"); | |
2394 | fCoefVdriftDB[0]->SetFillColor(6); | |
2395 | fCoefVdriftDB[0]->SetLineColor(6); | |
2396 | } | |
2397 | ||
2398 | if(fFitPol2On){ | |
2399 | fCoefVdriftDB[1] = new TH2F("coefvdriftdb1","",rowMax,0,rowMax,colMax,0,colMax); | |
2400 | fCoefVdriftDB[1]->SetStats(0); | |
2401 | fCoefVdriftDB[1]->SetXTitle("row Number"); | |
2402 | fCoefVdriftDB[1]->SetYTitle("col Number"); | |
2403 | fCoefVdriftDB[1]->SetZTitle("v_{drift} slope method"); | |
2404 | fCoefVdriftDB[1]->SetFillColor(2); | |
2405 | fCoefVdriftDB[1]->SetLineColor(2); | |
2406 | } | |
2407 | if(fFitLagrPolOn){ | |
2408 | fCoefVdriftDB[2] = new TH2F("coefvdriftdb1","",rowMax,0,rowMax,colMax,0,colMax); | |
2409 | fCoefVdriftDB[2]->SetStats(0); | |
2410 | fCoefVdriftDB[2]->SetXTitle("row Number"); | |
2411 | fCoefVdriftDB[2]->SetYTitle("col Number"); | |
2412 | fCoefVdriftDB[2]->SetZTitle("v_{drift} slope method"); | |
2413 | fCoefVdriftDB[2]->SetFillColor(1); | |
2414 | fCoefVdriftDB[2]->SetLineColor(1); | |
2415 | } | |
2416 | ||
2417 | } | |
2418 | ||
2419 | //_____________________________________________________________________________ | |
2420 | void AliTRDCalibraFit::CreateFitHistoT0DB(Int_t rowMax, Int_t colMax) | |
2421 | { | |
2422 | // | |
2423 | // Create the histos for fDebug = 3 and fDebug = 4 (Fit functions) | |
2424 | // | |
2425 | ||
2426 | if(fFitPHOn){ | |
2427 | fCoefT0DB[0] = new TH2F("coefT0db0","",rowMax,0,rowMax,colMax,0,colMax); | |
2428 | fCoefT0DB[0]->SetStats(0); | |
2429 | fCoefT0DB[0]->SetXTitle("row Number"); | |
2430 | fCoefT0DB[0]->SetYTitle("col Number"); | |
2431 | fCoefT0DB[0]->SetZTitle("t0 Fit method"); | |
2432 | fCoefT0DB[0]->SetFillColor(6); | |
2433 | fCoefT0DB[0]->SetLineColor(6); | |
2434 | } | |
2435 | if(fFitPol2On){ | |
2436 | fCoefT0DB[1] = new TH2F("coefT0db1","",rowMax,0,rowMax,colMax,0,colMax); | |
2437 | fCoefT0DB[1]->SetStats(0); | |
2438 | fCoefT0DB[1]->SetXTitle("row Number"); | |
2439 | fCoefT0DB[1]->SetYTitle("col Number"); | |
2440 | fCoefT0DB[1]->SetZTitle("t0 slope method"); | |
2441 | fCoefT0DB[1]->SetFillColor(2); | |
2442 | fCoefT0DB[1]->SetLineColor(2); | |
2443 | } | |
2444 | if(fFitLagrPolOn){ | |
2445 | fCoefT0DB[2] = new TH2F("coefT0db1","",rowMax,0,rowMax,colMax,0,colMax); | |
2446 | fCoefT0DB[2]->SetStats(0); | |
2447 | fCoefT0DB[2]->SetXTitle("row Number"); | |
2448 | fCoefT0DB[2]->SetYTitle("col Number"); | |
2449 | fCoefT0DB[2]->SetZTitle("t0 slope method"); | |
2450 | fCoefT0DB[2]->SetFillColor(1); | |
2451 | fCoefT0DB[2]->SetLineColor(1); | |
2452 | } | |
2453 | ||
2454 | } | |
2455 | ||
2456 | //_____________________________________________________________________________ | |
2457 | Bool_t AliTRDCalibraFit::FillVectorFitCH(Int_t countdet) | |
2458 | { | |
2459 | // | |
2460 | // For the Fit functions fill the vector FitCH special for the gain calibration | |
2461 | // | |
2462 | ||
2463 | AliTRDFitCHInfo *fitCHInfo = new AliTRDFitCHInfo(); | |
2464 | ||
2465 | Int_t ntotal = 1; | |
2466 | if (GetChamber(countdet) == 2) { | |
2467 | ntotal = 1728; | |
2468 | } | |
2469 | else { | |
2470 | ntotal = 2304; | |
2471 | } | |
2472 | ||
2473 | //printf("For the detector %d , ntotal %d and fCoefCH[0] %f\n",countdet,ntotal,fCoefCH[0]); | |
2474 | Float_t *coef = new Float_t[ntotal]; | |
2475 | for (Int_t i = 0; i < ntotal; i++) { | |
2476 | coef[i] = fCoefCH[i]; | |
2477 | } | |
2478 | ||
2479 | Int_t detector = countdet; | |
2480 | // Set | |
2481 | fitCHInfo->SetCoef(coef); | |
2482 | fitCHInfo->SetDetector(detector); | |
2483 | fVectorFitCH->Add((TObject *) fitCHInfo); | |
2484 | ||
2485 | return kTRUE; | |
2486 | ||
2487 | } | |
2488 | ||
2489 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2490 | Bool_t AliTRDCalibraFit::InitFit(Int_t nbins, Int_t i) | |
2491 | { | |
2492 | // | |
2493 | // Init the calibration mode (Nz, Nrphi), the histograms for | |
2494 | // debugging the fit methods if fDebug > 0, | |
2495 | // | |
2496 | ||
2497 | gStyle->SetPalette(1); | |
2498 | gStyle->SetOptStat(1111); | |
2499 | gStyle->SetPadBorderMode(0); | |
2500 | gStyle->SetCanvasColor(10); | |
2501 | gStyle->SetPadLeftMargin(0.13); | |
2502 | gStyle->SetPadRightMargin(0.01); | |
2503 | ||
55a288e5 | 2504 | // Mode groups of pads: the total number of bins! |
2505 | Int_t numberofbinsexpected = 0; | |
2506 | fCalibraMode->ModePadCalibration(2,i); | |
2507 | fCalibraMode->ModePadFragmentation(0,2,0,i); | |
2508 | fCalibraMode->SetDetChamb2(i); | |
2509 | if (fDebug == 1) { | |
2510 | AliInfo(Form("For the chamber 2: %d",fCalibraMode->GetDetChamb2(i))); | |
2511 | } | |
2512 | numberofbinsexpected += 6 * 18 * fCalibraMode->GetDetChamb2(i); | |
2513 | fCalibraMode->ModePadCalibration(0,i); | |
2514 | fCalibraMode->ModePadFragmentation(0,0,0,i); | |
2515 | fCalibraMode->SetDetChamb0(i); | |
2516 | if (fDebug == 1) { | |
2517 | AliInfo(Form("For the other chamber 0: %d",fCalibraMode->GetDetChamb0(i))); | |
2518 | } | |
2519 | numberofbinsexpected += 6 * 4 * 18 * fCalibraMode->GetDetChamb0(i); | |
2520 | ||
2521 | // Quick verification that we have the good pad calibration mode if 2D histos! | |
2522 | if (nbins != 0) { | |
2523 | if (numberofbinsexpected != nbins) { | |
2524 | AliInfo("It doesn't correspond to the mode of pad group calibration!"); | |
2525 | return kFALSE; | |
2526 | } | |
2527 | } | |
2528 | ||
2529 | // Security for fDebug 3 and 4 | |
2530 | if ((fDebug >= 3) && | |
2531 | ((fDet[0] > 5) || | |
2532 | (fDet[1] > 4) || | |
2533 | (fDet[2] > 17))) { | |
2534 | AliInfo("This detector doesn't exit!"); | |
2535 | return kFALSE; | |
2536 | } | |
2537 | ||
2538 | // Determine fDet1 and fDet2 | |
2539 | fDect1[i] = -1; | |
2540 | fDect2[i] = -1; | |
2541 | if (fDebug == 2) { | |
2542 | fDect1[i] = fFitVoir; | |
2543 | fDect2[i] = fDect1[i] +1; | |
2544 | } | |
2545 | if (fDebug <= 1) { | |
2546 | fDect1[i] = 0; | |
2547 | fDect2[i] = numberofbinsexpected; | |
2548 | } | |
2549 | if (fDebug >= 3) { | |
2550 | fCalibraMode->CalculXBins(AliTRDgeometry::GetDetector(fDet[0],fDet[1],fDet[2]),i); | |
2551 | fDect1[i] = fCalibraMode->GetXbins(i); | |
2552 | fCalibraMode->CalculXBins((AliTRDgeometry::GetDetector(fDet[0],fDet[1],fDet[2])+1),i); | |
2553 | fDect2[i] = fCalibraMode->GetXbins(i); | |
2554 | } | |
2555 | ||
2556 | // Create the histos for debugging | |
2557 | // CH | |
2558 | if (i == 0) { | |
2559 | ||
2560 | gDirectory = gROOT; | |
2561 | // Init the VectorFitCH | |
2562 | fVectorFitCH = new TObjArray(); | |
2563 | fCoefCH = new Float_t[2304]; | |
2564 | for (Int_t k = 0; k < 2304; k++) { | |
2565 | fCoefCH[k] = 0.0; | |
2566 | } | |
2567 | fScaleFitFactor = 0.0; | |
2568 | ||
2569 | // Number of Xbins(detectors or groups of pads) if Vector2d | |
2570 | // Quick verification that we are not out of range! | |
2571 | if (fCalibraVector) { | |
2572 | if ((nbins == 0) && | |
2573 | (fCalibraVector->GetVectorCH()->GetEntriesFast() > 0) && | |
2574 | ((Int_t) fCalibraVector->GetPlaCH()->GetEntriesFast() > 0)) { | |
2575 | if ((Int_t) fCalibraVector->GetVectorCH()->GetEntriesFast() > numberofbinsexpected) { | |
2576 | AliInfo("ch doesn't correspond to the mode of pad group calibration!"); | |
2577 | return kFALSE; | |
2578 | } | |
2579 | if ((Int_t) fCalibraVector->GetVectorCH()->GetEntriesFast() != | |
2580 | (Int_t) fCalibraVector->GetPlaCH()->GetEntriesFast()) { | |
2581 | AliInfo("VectorCH doesn't correspond to PlaCH!"); | |
2582 | return kFALSE; | |
2583 | } | |
2584 | } | |
2585 | } | |
2586 | ||
2587 | // | |
2588 | // Debugging: Create the histos | |
2589 | // | |
2590 | ||
2591 | // fDebug == 0 nothing | |
2592 | ||
2593 | // fDebug == 1 | |
2594 | if (fDebug == 1) { | |
2595 | InitArrayFitCH(); | |
2596 | } | |
2597 | ||
2598 | // fDebug == 2 and fFitVoir no histo | |
2599 | if (fDebug == 2) { | |
2600 | if (fFitVoir < numberofbinsexpected) { | |
2601 | AliInfo(Form("We will see the fit of the object %d",fFitVoir)); | |
2602 | } | |
2603 | else { | |
2604 | AliInfo("fFitVoir is out of range of the histo!"); | |
2605 | return kFALSE; | |
2606 | } | |
2607 | } | |
2608 | ||
2609 | // fDebug == 3 or 4 and fDet | |
2610 | if (fDebug >= 3) { | |
2611 | if ((fCalibraMode->GetNz(0) == 0) && (fCalibraMode->GetNrphi(0) == 0)) { | |
2612 | AliInfo("Do you really want to see one detector without pad groups?"); | |
2613 | return kFALSE; | |
2614 | } | |
2615 | else { | |
2616 | AliInfo(Form("You will see the detector: iPlane %d, iChamb %d, iSect %d" | |
2617 | ,fDet[0],fDet[1],fDet[2])); | |
2618 | // A little geometry: | |
f162af62 | 2619 | Int_t rowMax = fGeo->GetRowMax(fDet[0],fDet[1],fDet[2]); |
2620 | Int_t colMax = fGeo->GetColMax(fDet[0]); | |
55a288e5 | 2621 | // Create the histos to visualise |
2622 | CreateFitHistoCHDB(rowMax,colMax); | |
2623 | if (fDebug == 4) { | |
2624 | InitArrayFitCH(); | |
2625 | } | |
2626 | } | |
2627 | } | |
2628 | ||
2629 | } | |
2630 | ||
2631 | // PH and T0 | |
2632 | if (i == 1) { | |
2633 | ||
2634 | // Number of Xbins (detectors or groups of pads) if vector2d | |
2635 | // Quick verification that we are not out of range! | |
2636 | if (fCalibraVector) { | |
2637 | if ((nbins == 0) && | |
2638 | (fCalibraVector->GetVectorPH()->GetEntriesFast() > 0) && | |
2639 | ((Int_t) fCalibraVector->GetPlaPH()->GetEntriesFast() > 0)) { | |
2640 | if ((Int_t) fCalibraVector->GetVectorPH()->GetEntriesFast() > numberofbinsexpected) { | |
2641 | AliInfo("ph doesn't correspond to the mode of pad group calibration!"); | |
2642 | return kFALSE; | |
2643 | } | |
2644 | if ((Int_t) fCalibraVector->GetVectorPH()->GetEntriesFast() != | |
2645 | (Int_t) fCalibraVector->GetPlaPH()->GetEntriesFast()) { | |
2646 | AliInfo("VectorPH doesn't correspond to PlaPH!"); | |
2647 | return kFALSE; | |
2648 | } | |
2649 | } | |
2650 | } | |
2651 | ||
2652 | // Init tree | |
2653 | InitTreePH(); | |
2654 | InitTreeT0(); | |
2655 | ||
2656 | // | |
2657 | // Debugging: Create the histos | |
2658 | // | |
2659 | ||
2660 | // fDebug == 0 nothing | |
2661 | ||
2662 | // fDebug == 1 | |
2663 | if (fDebug == 1) { | |
2664 | // Create the histos replique de ph | |
2665 | InitArrayFitPH(); | |
2666 | InitArrayFitT0(); | |
2667 | } | |
2668 | ||
2669 | // fDebug == 2 and fFitVoir no histo | |
2670 | if (fDebug == 2) { | |
2671 | if (fFitVoir < numberofbinsexpected) { | |
2672 | AliInfo(Form("We will see the fit of the object %d",fFitVoir)); | |
2673 | } | |
2674 | else { | |
2675 | AliInfo("fFitVoir is out of range of the histo!"); | |
2676 | return kFALSE; | |
2677 | } | |
2678 | } | |
2679 | ||
2680 | // fDebug == 3 or 4 and fDet | |
2681 | if (fDebug >= 3) { | |
2682 | if ((fCalibraMode->GetNz(1) == 0) && | |
2683 | (fCalibraMode->GetNrphi(1) == 0)) { | |
2684 | AliInfo("Do you really want to see one detector without pad groups?"); | |
2685 | return kFALSE; | |
2686 | } | |
2687 | else { | |
2688 | AliInfo(Form("You will see the detector: iPlane %d, iChamb %d, iSect %d" | |
2689 | ,fDet[0],fDet[1],fDet[2])); | |
2690 | // A little geometry: | |
f162af62 | 2691 | Int_t rowMax = fGeo->GetRowMax(fDet[0],fDet[1],fDet[2]); |
2692 | Int_t colMax = fGeo->GetColMax(fDet[0]); | |
55a288e5 | 2693 | // Create the histos to visualise |
2694 | CreateFitHistoPHDB(rowMax,colMax); | |
2695 | CreateFitHistoT0DB(rowMax,colMax); | |
2696 | if (fDebug == 4) { | |
2697 | InitArrayFitPH(); | |
2698 | InitArrayFitT0(); | |
2699 | } | |
2700 | } | |
2701 | } | |
2702 | ||
2703 | } | |
2704 | ||
2705 | // PRF | |
2706 | if (i == 2) { | |
2707 | ||
2708 | // Number of Xbins(detectors or groups of pads) if vector2d | |
2709 | if (fCalibraVector){ | |
2710 | if ((nbins == 0) && | |
2711 | (fCalibraVector->GetVectorPRF()->GetEntriesFast() > 0) && | |
2712 | (fCalibraVector->GetPlaPRF()->GetEntriesFast() > 0)) { | |
2713 | // Quick verification that we are not out of range! | |
2714 | if ((Int_t) fCalibraVector->GetVectorPRF()->GetEntriesFast() > numberofbinsexpected) { | |
2715 | AliInfo("ch doesn't correspond to the mode of pad group calibration!"); | |
2716 | return kFALSE; | |
2717 | } | |
2718 | if ((Int_t) fCalibraVector->GetVectorPRF()->GetEntriesFast() != | |
2719 | (Int_t) fCalibraVector->GetPlaPRF()->GetEntriesFast()) { | |
2720 | AliInfo("VectorPRF doesn't correspond to PlaCH!"); | |
2721 | return kFALSE; | |
2722 | } | |
2723 | } | |
2724 | } | |
2725 | ||
2726 | // Init tree | |
2727 | InitTreePRF(); | |
2728 | ||
2729 | // | |
2730 | // Debugging: Create the histos | |
2731 | // | |
2732 | ||
2733 | // fDebug == 0 nothing | |
2734 | ||
2735 | // fDebug == 1 | |
2736 | if (fDebug == 1) { | |
2737 | // Create the histos replique de ch | |
2738 | InitArrayFitPRF(); | |
2739 | } | |
2740 | ||
2741 | // fDebug == 2 and fFitVoir no histo | |
2742 | if (fDebug == 2) { | |
2743 | if (fFitVoir < numberofbinsexpected) { | |
2744 | AliInfo(Form("We will see the fit of the object %d",fFitVoir)); | |
2745 | } | |
2746 | else { | |
2747 | AliInfo("fFitVoir is out of range of the histo!"); | |
2748 | return kFALSE; | |
2749 | } | |
2750 | } | |
2751 | ||
2752 | // fDebug == 3 or 4 and fDet | |
2753 | if (fDebug >= 3) { | |
2754 | if ((fCalibraMode->GetNz(2) == 0) && | |
2755 | (fCalibraMode->GetNrphi(2) == 0)) { | |
2756 | AliInfo("Do you really want to see one detector without pad groups?"); | |
2757 | return kFALSE; | |
2758 | } | |
2759 | else { | |
2760 | AliInfo(Form("You will see the detector: iPlane %d, iChamb %d, iSect %d" | |
2761 | ,fDet[0],fDet[1],fDet[2])); | |
2762 | // A little geometry: | |
f162af62 | 2763 | Int_t rowMax = fGeo->GetRowMax(fDet[0],fDet[1],fDet[2]); |
2764 | Int_t colMax = fGeo->GetColMax(fDet[0]); | |
55a288e5 | 2765 | // Create the histos to visualise |
2766 | CreateFitHistoPRFDB(rowMax,colMax); | |
2767 | if (fDebug == 4) { | |
2768 | InitArrayFitPRF(); | |
2769 | } | |
2770 | } | |
2771 | } | |
2772 | ||
2773 | } | |
2774 | ||
2775 | return kTRUE; | |
2776 | ||
2777 | } | |
2778 | ||
2779 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2780 | void AliTRDCalibraFit::InitfCountDetAndfCount(Int_t i) | |
2781 | { | |
2782 | // | |
2783 | // Init the current detector where we are fCountDet and the | |
2784 | // next fCount for the functions Fit... | |
2785 | // | |
2786 | ||
2787 | // Loop on the Xbins of ch!! | |
2788 | fCountDet[i] = -1; // Current detector | |
2789 | fCount[i] = 0; // To find the next detector | |
2790 | ||
2791 | // If fDebug >= 3 | |
2792 | if (fDebug >= 3) { | |
2793 | ||
2794 | // Set countdet to the detector | |
2795 | fCountDet[i] = AliTRDgeometry::GetDetector(fDet[0],fDet[1],fDet[2]); | |
2796 | ||
2797 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2798 | fCalibraMode->ModePadCalibration(fDet[1],i); | |
2799 | fCalibraMode->ModePadFragmentation(fDet[0],fDet[1],fDet[2],i); | |
2800 | ||
2801 | // Set counter to write at the end of the detector | |
2802 | fCount[i] = fDect1[i] + fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i); | |
2803 | ||
2804 | } | |
2805 | ||
2806 | } | |
2807 | ||
2808 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2809 | void AliTRDCalibraFit::UpdatefCountDetAndfCount(Int_t idect, Int_t i) | |
2810 | { | |
2811 | // | |
2812 | // See if we are in a new detector and update the | |
2813 | // variables fNfragZ and fNfragRphi if yes | |
2814 | // | |
2815 | ||
2816 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2817 | // If fDebug == 1 or 0 | |
2818 | if ((fDebug == 0) || | |
2819 | (fDebug == 1)) { | |
2820 | ||
2821 | if (fCount[i] == idect) { | |
2822 | ||
2823 | // On en est au detector | |
2824 | fCountDet[i] += 1; | |
2825 | ||
2826 | // Determination of fNnZ, fNnRphi, fNfragZ and fNfragRphi | |
2827 | fCalibraMode->ModePadCalibration((Int_t) GetChamber(fCountDet[i]),i); | |
2828 | fCalibraMode->ModePadFragmentation((Int_t) GetPlane(fCountDet[i]) | |
2829 | ,(Int_t) GetChamber(fCountDet[i]) | |
2830 | ,(Int_t) GetSector(fCountDet[i]),i); | |
2831 | ||
2832 | // Set for the next detector | |
2833 | fCount[i] += fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i); | |
2834 | ||
2835 | } | |
2836 | ||
2837 | } | |
2838 | ||
2839 | } | |
2840 | ||
2841 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2842 | void AliTRDCalibraFit::ReconstructFitRowMinRowMax(Int_t idect, Int_t i) | |
2843 | { | |
2844 | // | |
2845 | // Reconstruct the min pad row, max pad row, min pad col and | |
2846 | // max pad col of the calibration group for the Fit functions | |
2847 | // | |
2848 | ||
2849 | if (fDebug < 2) { | |
2850 | fCalibraMode->ReconstructionRowPadGroup((Int_t) (idect-(fCount[i]-(fCalibraMode->GetNfragZ(i) | |
2851 | *fCalibraMode->GetNfragRphi(i)))),i); | |
2852 | } | |
2853 | if (fDebug >= 3) { | |
2854 | fCalibraMode->ReconstructionRowPadGroup((Int_t) (idect-fDect1[i]),i); | |
2855 | } | |
2856 | ||
2857 | } | |
2858 | ||
2859 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
2860 | Bool_t AliTRDCalibraFit::NotEnoughStatistic(Int_t idect, Int_t i) | |
2861 | { | |
2862 | // | |
2863 | // For the case where there are not enough entries in the histograms | |
2864 | // of the calibration group, the value present in the choosen database | |
2865 | // will be put. A negativ sign enables to know that a fit was not possible. | |
2866 | // | |
f162af62 | 2867 | |
55a288e5 | 2868 | // Get cal |
2869 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
2870 | if (!cal) { | |
2871 | AliInfo("Could not get calibDB"); | |
2872 | return kFALSE; | |
2873 | } | |
2874 | ||
2875 | if (fDebug != 2) { | |
2876 | AliInfo(Form("The element %d in this detector %d has not enough statistic to be fitted" | |
2877 | ,idect-(fCount[i]-(fCalibraMode->GetNfragZ(i)*fCalibraMode->GetNfragRphi(i))),fCountDet[i])); | |
2878 | } | |
2879 | if (fDebug == 2) { | |
2880 | AliInfo("The element has not enough statistic to be fitted"); | |
2881 | } | |
2882 | ||
2883 | if ((i == 0) && (fDebug != 2)) { | |
2884 | ||
2885 | // Calcul the coef from the database choosen | |
2886 | CalculChargeCoefMean(fCountDet[0],(Int_t) (idect-fDect1[0]),kFALSE); | |
2887 | ||
2888 | // Fill the coefCH[2304] with negative value to say: not fitted | |
2889 | AliInfo(Form("The row min %d, the row max %d, the colmin %d and the col max %d" | |
2890 | ,fCalibraMode->GetRowMin(0) | |
2891 | ,fCalibraMode->GetRowMax(0) | |
2892 | ,fCalibraMode->GetColMin(0) | |
2893 | ,fCalibraMode->GetColMax(0))); | |
2894 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
2895 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
2896 | if (GetChamber(fCountDet[0]) == 2) { | |
2897 | fCoefCH[(Int_t)(j*12+k)] = -TMath::Abs(fChargeCoef[3]); | |
2898 | } | |
2899 | if (GetChamber(fCountDet[0]) != 2) { | |
2900 | fCoefCH[(Int_t)(j*16+k)] = -TMath::Abs(fChargeCoef[3]); | |
2901 | } | |
2902 | } | |
2903 | } | |
2904 | ||
2905 | // Put the default value negative | |
2906 | if ((fDebug == 1) || | |
2907 | (fDebug == 4)) { | |
2908 | ||
2909 | if (fFitChargeBisOn) { | |
2910 | fCoefCharge[2][idect-fDect1[0]]=-TMath::Abs(fChargeCoef[3]); | |
2911 | } | |
2912 | if (fMeanChargeOn) { | |
2913 | fCoefCharge[1][idect-fDect1[0]]=-TMath::Abs(fChargeCoef[3]); | |
2914 | } | |
2915 | if(fFitChargeOn){ | |
2916 | fCoefCharge[0][idect-fDect1[0]]=-TMath::Abs(fChargeCoef[3]); | |
2917 | } | |
2918 | ||
2919 | } | |
2920 | ||
2921 | // End of one detector | |
2922 | if ((idect == (fCount[0]-1))) { | |
2923 | FillVectorFitCH((Int_t) fCountDet[0]); | |
2924 | // Reset | |
2925 | for (Int_t k = 0; k < 2304; k++) { | |
2926 | fCoefCH[k] = 0.0; | |
2927 | } | |
2928 | } | |
2929 | ||
2930 | } | |
2931 | ||
2932 | if ((i == 1) && (fDebug != 2)) { | |
2933 | ||
2934 | CalculVdriftCoefMean(fCountDet[1],(Int_t) (idect-fDect1[1])); | |
2935 | CalculT0CoefMean(fCountDet[1],(Int_t) (idect-fDect1[1])); | |
2936 | ||
2937 | // Put the default value (time0 can be negativ, so we stay with + ) | |
2938 | if ((fDebug == 1) || | |
2939 | (fDebug == 4)) { | |
2940 | ||
2941 | if (fFitPHOn) { | |
2942 | fCoefVdrift[0][(idect-fDect1[1])] = -fVdriftCoef[2]; | |
2943 | fCoefT0[0][(idect-fDect1[1])] = fT0Coef[2]; | |
2944 | } | |
2945 | ||
2946 | if(fFitPol2On) { | |
2947 | fCoefVdrift[1][(idect-fDect1[1])] = -fVdriftCoef[2]; | |
2948 | fCoefT0[1][(idect-fDect1[1])] = fT0Coef[2]; | |
2949 | } | |
2950 | if(fFitLagrPolOn) { | |
2951 | fCoefVdrift[3][(idect-fDect1[1])] = -fVdriftCoef[2]; | |
2952 | fCoefT0[3][(idect-fDect1[1])] = fT0Coef[2]; | |
2953 | } | |
2954 | ||
2955 | } | |
2956 | ||
2957 | // Put the default value | |
2958 | if (fDebug >= 3) { | |
2959 | if(fFitPHOn){ | |
2960 | fVdriftCoef[0] = fVdriftCoef[2]; | |
2961 | fT0Coef[0] = fT0Coef[2]; | |
2962 | } | |
2963 | if(fFitPol2On){ | |
2964 | fVdriftCoef[1] = fVdriftCoef[2]; | |
2965 | fT0Coef[1] = fT0Coef[2]; | |
2966 | } | |
2967 | if(fFitLagrPolOn){ | |
2968 | fVdriftCoef[3] = fVdriftCoef[2]; | |
2969 | fT0Coef[3] = fT0Coef[2]; | |
2970 | } | |
2971 | FillCoefVdriftDB(); | |
2972 | FillCoefT0DB(); | |
2973 | } | |
2974 | ||
2975 | // Fill the tree if end of a detector. | |
2976 | // The pointer to the branch stays with the default value negative!!! | |
2977 | // PH | |
2978 | // Pointer to the branch | |
2979 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
2980 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
2981 | if (GetChamber(fCountDet[1]) == 2) { | |
2982 | fVdriftPad[(Int_t)(j*12+k)] = -TMath::Abs(fVdriftCoef[2]); | |
2983 | } | |
2984 | if (GetChamber(fCountDet[1]) != 2) { | |
2985 | fVdriftPad[(Int_t)(j*16+k)] = -TMath::Abs(fVdriftCoef[2]); | |
2986 | } | |
2987 | } | |
2988 | } | |
2989 | ||
2990 | // End of one detector | |
2991 | if ((idect == (fCount[1]-1)) && (fDebug != 2)) { | |
2992 | FillTreeVdrift((Int_t) fCountDet[1]); | |
2993 | } | |
2994 | ||
2995 | // T0 | |
2996 | // Fill the tree if end of a detector. | |
2997 | // The pointer to the branch stays with the default value positive!!! | |
2998 | // Pointer to the branch | |
2999 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
3000 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
3001 | if (GetChamber(fCountDet[1]) == 2) { | |
3002 | fT0Pad[(Int_t)(j*12+k)] = fT0Coef[2]; | |
3003 | } | |
3004 | if (GetChamber(fCountDet[1]) != 2) { | |
3005 | fT0Pad[(Int_t)(j*16+k)] = fT0Coef[2]; | |
3006 | } | |
3007 | } | |
3008 | } | |
3009 | ||
3010 | // End of one detector | |
3011 | if ((idect == (fCount[1]-1)) && (fDebug != 2)) { | |
3012 | FillTreeT0((Int_t) fCountDet[1]); | |
3013 | } | |
3014 | ||
3015 | } | |
3016 | ||
3017 | if ((i == 2) && (fDebug != 2)) { | |
3018 | ||
3019 | CalculPRFCoefMean(fCountDet[2],(Int_t) (idect-fDect1[2])); | |
3020 | ||
3021 | if ((fDebug == 1) || | |
3022 | (fDebug == 4)) { | |
3023 | if(fFitPRFOn){ | |
3024 | fCoefPRF[0][(idect-fDect1[2])] = -fPRFCoef[1]; | |
3025 | } | |
3026 | if(fRMSPRFOn){ | |
3027 | fCoefPRF[2][(idect-fDect1[2])] = -fPRFCoef[1]; | |
3028 | } | |
3029 | } | |
3030 | ||
3031 | if (fDebug >= 3){ | |
3032 | if(fFitPRFOn){ | |
3033 | fPRFCoef[0] = fPRFCoef[1]; | |
3034 | } | |
3035 | if(fRMSPRFOn){ | |
3036 | fPRFCoef[2] = fPRFCoef[1]; | |
3037 | } | |
3038 | FillCoefPRFDB(); | |
3039 | } | |
3040 | ||
3041 | // Fill the tree if end of a detector. | |
3042 | // The pointer to the branch stays with the default value 1.5!!! | |
3043 | // Pointer to the branch | |
3044 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
3045 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
f162af62 | 3046 | if((fGeo->GetColMax(GetPlane(fCountDet[2])) != (j+1)) && (j != 0)){ |
55a288e5 | 3047 | if (GetChamber(fCountDet[2]) == 2) { |
3048 | fPRFPad[(Int_t)(j*12+k)] = -fPRFCoef[1]; | |
3049 | } | |
3050 | if (GetChamber(fCountDet[2]) != 2) { | |
3051 | fPRFPad[(Int_t)(j*16+k)] = -fPRFCoef[1]; | |
3052 | } | |
3053 | } | |
3054 | else { | |
3055 | if (fAccCDB) { | |
3056 | if (GetChamber(fCountDet[2]) == 2) { | |
3057 | fPRFPad[(Int_t)(j*12+k)] = -((Float_t) cal->GetPRFWidth(fCountDet[2],j,k)); | |
3058 | } | |
3059 | if (GetChamber(fCountDet[2]) != 2) { | |
3060 | fPRFPad[(Int_t)(j*16+k)] = -((Float_t) cal->GetPRFWidth(fCountDet[2],j,k)); | |
3061 | } | |
3062 | } | |
3063 | if (!fAccCDB) { | |
3064 | if (GetChamber(fCountDet[2]) == 2) { | |
3065 | fPRFPad[(Int_t)(j*12+k)] = -((Float_t) GetPRFDefault(GetPlane(fCountDet[2]))); | |
3066 | } | |
3067 | if (GetChamber(fCountDet[2]) != 2) { | |
3068 | fPRFPad[(Int_t)(j*16+k)] = -((Float_t) GetPRFDefault(GetPlane(fCountDet[2]))); | |
3069 | } | |
3070 | } | |
3071 | } | |
3072 | } | |
3073 | } | |
3074 | ||
3075 | // End of one detector | |
3076 | if ((idect == (fCount[2]-1)) && (fDebug != 2)) { | |
3077 | FillTreePRF((Int_t) fCountDet[2]); | |
3078 | } | |
3079 | ||
3080 | } | |
3081 | ||
3082 | return kTRUE; | |
3083 | ||
3084 | } | |
3085 | ||
3086 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3087 | Bool_t AliTRDCalibraFit::FillInfosFit(Int_t idect, Int_t i) | |
3088 | { | |
3089 | // | |
3090 | // Fill the coefficients found with the fits or other | |
3091 | // methods from the Fit functions | |
3092 | // | |
3093 | ||
55a288e5 | 3094 | // Get cal |
3095 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
3096 | if (!cal) { | |
3097 | AliInfo("Could not get calibDB"); | |
3098 | return kFALSE; | |
3099 | } | |
3100 | ||
3101 | if ((i == 0) && (fDebug != 2)) { | |
3102 | // Fill the coefCH[2304] with fChargeCoef[0] | |
3103 | // that would be negativ only if the fit failed totally | |
3104 | //printf("for fCountDet %d we have %f\n",fCountDet[0],fChargeCoef[fFitChargeNDB]); | |
3105 | //printf("RowMin %d RowMax %d ColMin %d ColMax %d\n",fCalibraMode->GetRowMin(0),fCalibraMode->GetRowMax(0),fCalibraMode->GetColMin(0),fCalibraMode->GetColMax(0)); | |
3106 | for (Int_t k = fCalibraMode->GetRowMin(0); k < fCalibraMode->GetRowMax(0); k++) { | |
3107 | for (Int_t j = fCalibraMode->GetColMin(0); j < fCalibraMode->GetColMax(0); j++) { | |
3108 | if (GetChamber(fCountDet[0]) == 2) { | |
3109 | fCoefCH[(Int_t)(j*12+k)] = fChargeCoef[fFitChargeNDB]; | |
3110 | } | |
3111 | if (GetChamber(fCountDet[0]) != 2) { | |
3112 | fCoefCH[(Int_t)(j*16+k)] = fChargeCoef[fFitChargeNDB]; | |
3113 | } | |
3114 | } | |
3115 | } | |
3116 | // End of one detector | |
3117 | if ((idect == (fCount[0]-1))) { | |
3118 | FillVectorFitCH((Int_t) fCountDet[0]); | |
3119 | // Reset | |
3120 | for (Int_t k = 0; k < 2304; k++) { | |
3121 | fCoefCH[k] = 0.0; | |
3122 | } | |
3123 | } | |
3124 | } | |
3125 | ||
3126 | if ((i == 1) && (fDebug != 2)) { | |
3127 | ||
3128 | // PH | |
3129 | // Pointer to the branch: fVdriftCoef[1] will ne negativ only if the fit failed totally | |
3130 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
3131 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
3132 | if (GetChamber(fCountDet[1]) == 2) { | |
3133 | fVdriftPad[(Int_t)(j*12+k)]=fVdriftCoef[fFitPHNDB]; | |
3134 | } | |
3135 | if (GetChamber(fCountDet[1]) != 2) { | |
3136 | fVdriftPad[(Int_t)(j*16+k)]=fVdriftCoef[fFitPHNDB]; | |
3137 | } | |
3138 | } | |
3139 | } | |
3140 | // End of one detector | |
3141 | if ((idect == (fCount[1]-1)) && (fDebug != 2)) { | |
3142 | FillTreeVdrift((Int_t) fCountDet[1]); | |
3143 | } | |
3144 | ||
3145 | // T0 | |
3146 | // Pointer to the branch: fT0Coef[1] will ne negativ only if the fit failed totally | |
3147 | for (Int_t k = fCalibraMode->GetRowMin(1); k < fCalibraMode->GetRowMax(1); k++) { | |
3148 | for (Int_t j = fCalibraMode->GetColMin(1); j < fCalibraMode->GetColMax(1); j++) { | |
3149 | if (GetChamber(fCountDet[1]) == 2) { | |
3150 | fT0Pad[(Int_t)(j*12+k)]=fT0Coef[fFitPHNDB]; | |
3151 | } | |
3152 | if (GetChamber(fCountDet[1]) != 2) { | |
3153 | fT0Pad[(Int_t)(j*16+k)]=fT0Coef[fFitPHNDB]; | |
3154 | } | |
3155 | } | |
3156 | } | |
3157 | // End of one detector | |
3158 | if ((idect == (fCount[1]-1)) && (fDebug != 2)) { | |
3159 | FillTreeT0((Int_t) fCountDet[1]); | |
3160 | } | |
3161 | ||
3162 | } | |
3163 | ||
3164 | if ((i == 2) && (fDebug != 2)) { | |
3165 | // Pointer to the branch | |
3166 | for (Int_t k = fCalibraMode->GetRowMin(2); k < fCalibraMode->GetRowMax(2); k++) { | |
3167 | for (Int_t j = fCalibraMode->GetColMin(2); j < fCalibraMode->GetColMax(2); j++) { | |
f162af62 | 3168 | if ((fGeo->GetColMax(GetPlane(fCountDet[2])) != (j+1)) && (j != 0)) { |
55a288e5 | 3169 | if (GetChamber(fCountDet[2]) == 2) { |
3170 | fPRFPad[(Int_t)(j*12+k)] = fPRFCoef[fFitPRFNDB]; | |
3171 | } | |
3172 | if (GetChamber(fCountDet[2]) != 2) { | |
3173 | fPRFPad[(Int_t)(j*16+k)] = fPRFCoef[fFitPRFNDB]; | |
3174 | } | |
3175 | } | |
3176 | else { | |
3177 | if (fAccCDB) { | |
3178 | if (GetChamber(fCountDet[2]) == 2) { | |
3179 | fPRFPad[(Int_t)(j*12+k)] = (Float_t) cal->GetPRFWidth(fCountDet[2],j,k); | |
3180 | } | |
3181 | if (GetChamber(fCountDet[2]) != 2) { | |
3182 | fPRFPad[(Int_t)(j*16+k)] = (Float_t) cal->GetPRFWidth(fCountDet[2],j,k); | |
3183 | } | |
3184 | } | |
3185 | if (!fAccCDB) { | |
3186 | if (GetChamber(fCountDet[2]) == 2) { | |
3187 | fPRFPad[(Int_t)(j*12+k)] = (Float_t) GetPRFDefault(GetPlane(fCountDet[2])); | |
3188 | } | |
3189 | if (GetChamber(fCountDet[2]) != 2) { | |
3190 | fPRFPad[(Int_t)(j*16+k)] = (Float_t) GetPRFDefault(GetPlane(fCountDet[2])); | |
3191 | } | |
3192 | } | |
3193 | } | |
3194 | } | |
3195 | } | |
3196 | // End of one detector | |
3197 | if ((idect == (fCount[2]-1)) && (fDebug != 2)) { | |
3198 | FillTreePRF((Int_t) fCountDet[2]); | |
3199 | } | |
3200 | } | |
3201 | ||
3202 | return kTRUE; | |
3203 | ||
3204 | } | |
3205 | ||
3206 | //____________Functions for initialising the AliTRDCalibraFit in the code_________ | |
3207 | Bool_t AliTRDCalibraFit::WriteFitInfos(Int_t i) | |
3208 | { | |
3209 | // | |
3210 | // In the case the user wants to write a file with a tree of the found | |
3211 | // coefficients for the calibration before putting them in the database | |
3212 | // | |
3213 | ||
3214 | TFile *fout = TFile::Open(fWriteNameCoef,"UPDATE"); | |
3215 | // Check if the file could be opened | |
3216 | if (!fout || !fout->IsOpen()) { | |
3217 | AliInfo("No File found!"); | |
3218 | return kFALSE; | |
3219 | } | |
3220 | ||
3221 | if ((i == 0) && (fDebug != 2)) { | |
3222 | // The DB stuff | |
3223 | if ((fDebug == 4) || | |
3224 | (fDebug == 3)) { | |
3225 | WriteCHDB(fout); | |
3226 | } | |
3227 | // The tree | |
3228 | fout->WriteTObject(fGain,fGain->GetName(),(Option_t *) "writedelete"); | |
3229 | } | |
3230 | ||
3231 | if ((i == 1) && (fDebug != 2)) { | |
3232 | // The DB stuff | |
3233 | if ((fDebug == 4) || | |
3234 | (fDebug == 3)) { | |
3235 | WritePHDB(fout); | |
3236 | } | |
3237 | // The tree | |
3238 | fout->WriteTObject(fVdrift,fVdrift->GetName(),(Option_t *) "writedelete"); | |
3239 | // The DB stuff | |
3240 | if ((fDebug == 4) || | |
3241 | (fDebug == 3)) { | |
3242 | WriteT0DB(fout); | |
3243 | } | |
3244 | // The tree | |
3245 | fout->WriteTObject(fT0,fT0->GetName(),(Option_t *) "writedelete"); | |
3246 | } | |
3247 | ||
3248 | if ((i == 2) && (fDebug != 2)) { | |
3249 | // The DB stuff | |
3250 | if ((fDebug == 4) || | |
3251 | (fDebug == 3)) { | |
3252 | WritePRFDB(fout); | |
3253 | } | |
3254 | // The tree | |
3255 | fout->WriteTObject(fPRF,fPRF->GetName(),(Option_t *) "writedelete"); | |
3256 | } | |
3257 | ||
3258 | fout->Close(); | |
3259 | ||
3260 | return kTRUE; | |
3261 | ||
3262 | } | |
3263 | ||
3264 | // | |
3265 | //____________Fill Coef DB in case of visualisation of one detector____________ | |
3266 | // | |
3267 | ||
3268 | //_____________________________________________________________________________ | |
3269 | void AliTRDCalibraFit::FillCoefVdriftDB() | |
3270 | { | |
3271 | // | |
3272 | // Fill the histos for fDebug = 3 and fDebug = 4 to visualise the detector | |
3273 | // | |
3274 | ||
3275 | for (Int_t row = fCalibraMode->GetRowMin(1); row < fCalibraMode->GetRowMax(1); row++) { | |
3276 | for (Int_t col = fCalibraMode->GetColMin(1); col < fCalibraMode->GetColMax(1); col++) { | |
3277 | if(fFitPol2On){ | |
3278 | fCoefVdriftDB[1]->SetBinContent(row+1,col+1,TMath::Abs(fVdriftCoef[1])); | |
3279 | } | |
3280 | if (fFitPHOn ) { | |
3281 | fCoefVdriftDB[0]->SetBinContent(row+1,col+1,TMath::Abs(fVdriftCoef[0])); | |
3282 | } | |
3283 | if (fFitLagrPolOn ) { | |
3284 | fCoefVdriftDB[2]->SetBinContent(row+1,col+1,TMath::Abs(fVdriftCoef[3])); | |
3285 | } | |
3286 | } | |
3287 | } | |
3288 | ||
3289 | } | |
3290 | ||
3291 | //_____________________________________________________________________________ | |
3292 | void AliTRDCalibraFit::FillCoefT0DB() | |
3293 | { | |
3294 | // | |
3295 | // Fill the histos for fDebug = 3 and fDebug = 4 to visualise the detector | |
3296 | // | |
3297 | ||
3298 | for (Int_t row = fCalibraMode->GetRowMin(1); row < fCalibraMode->GetRowMax(1); row++) { | |
3299 | for (Int_t col = fCalibraMode->GetColMin(1); col < fCalibraMode->GetColMax(1); col++) { | |
3300 | if(fFitPol2On){ | |
3301 | fCoefT0DB[1]->SetBinContent(row+1,col+1,TMath::Abs(fT0Coef[1])); | |
3302 | } | |
3303 | if (fFitPHOn) { | |
3304 | fCoefT0DB[0]->SetBinContent(row+1,col+1,TMath::Abs(fT0Coef[0])); | |
3305 | } | |
3306 | if (fFitLagrPolOn) { | |
3307 | fCoefT0DB[2]->SetBinContent(row+1,col+1,TMath::Abs(fT0Coef[3])); | |
3308 | } | |
3309 | } | |
3310 | } | |
3311 | ||
3312 | } | |
3313 | ||
3314 | //_____________________________________________________________________________ | |
3315 | void AliTRDCalibraFit::FillCoefChargeDB() | |
3316 | { | |
3317 | // | |
3318 | // Fill the histos for fDebug = 3 and fDebug = 4 to visualise the detector | |
3319 | // | |
3320 | ||
3321 | for (Int_t row = fCalibraMode->GetRowMin(0); row < fCalibraMode->GetRowMax(0); row++) { | |
3322 | for (Int_t col = fCalibraMode->GetColMin(0); col < fCalibraMode->GetColMax(0); col++) { | |
3323 | if (fMeanChargeOn) { | |
3324 | fCoefChargeDB[1]->SetBinContent(row+1,col+1,TMath::Abs(fChargeCoef[1])); | |
3325 | } | |
3326 | if (fFitChargeBisOn) { | |
3327 | fCoefChargeDB[2]->SetBinContent(row+1,col+1,TMath::Abs(fChargeCoef[2])); | |
3328 | } | |
3329 | if(fFitChargeOn){ | |
3330 | fCoefChargeDB[0]->SetBinContent(row+1,col+1,TMath::Abs(fChargeCoef[0])); | |
3331 | } | |
3332 | if(fFitMeanWOn){ | |
3333 | fCoefChargeDB[3]->SetBinContent(row+1,col+1,TMath::Abs(fChargeCoef[4])); | |
3334 | } | |
3335 | } | |
3336 | } | |
3337 | ||
3338 | } | |
3339 | ||
3340 | //_____________________________________________________________________________ | |
3341 | void AliTRDCalibraFit::FillCoefPRFDB() | |
3342 | { | |
3343 | // | |
3344 | // Fill the histos for fDebug = 3 and fDebug = 4 to visualise the detector | |
3345 | // | |
3346 | if(fFitPRFOn){ | |
3347 | for (Int_t row = fCalibraMode->GetRowMin(2); row < fCalibraMode->GetRowMax(2); row++) { | |
3348 | for (Int_t col = fCalibraMode->GetColMin(2); col < fCalibraMode->GetColMax(2); col++) { | |
3349 | fCoefPRFDB[0]->SetBinContent(row+1,col+1,fPRFCoef[0]); | |
3350 | } | |
3351 | } | |
3352 | } | |
3353 | if(fRMSPRFOn){ | |
3354 | for (Int_t row = fCalibraMode->GetRowMin(2); row < fCalibraMode->GetRowMax(2); row++) { | |
3355 | for (Int_t col = fCalibraMode->GetColMin(2); col < fCalibraMode->GetColMax(2); col++) { | |
3356 | fCoefPRFDB[1]->SetBinContent(row+1,col+1,fPRFCoef[2]); | |
3357 | } | |
3358 | } | |
3359 | } | |
3360 | ||
3361 | } | |
3362 | ||
3363 | // | |
3364 | //____________Plot histos CoefPRF....__________________________________________ | |
3365 | // | |
3366 | ||
3367 | //_____________________________________________________________________________ | |
3368 | void AliTRDCalibraFit::PlotWriteCH() | |
3369 | { | |
3370 | // | |
3371 | // Scale the coefficients to one, create the graph errors and write them if wanted | |
3372 | // | |
3373 | ||
3374 | //TObjArray of the grapherrors and so on | |
3375 | TObjArray *listofgraphs = new TObjArray(); | |
3376 | ||
3377 | Int_t nbins = fDect2[0]-fDect1[0]; | |
3378 | ||
3379 | // Scale the coefs | |
3380 | // We will check fScaleFitFactor for the fFitChargeNDB, otherwise we calculate and normalise to 1 | |
3381 | // It can be that fScaleFitFactor is different from scale if we have taken a no default database as reference | |
3382 | // | |
3383 | ||
3384 | //counter | |
3385 | Int_t counter[4]; | |
3386 | counter[0] = 0; //how many groups are fitted for 0 | |
3387 | counter[1] = 0; //how many groups are with mean for 1 | |
3388 | counter[2] = 0; //how many groups are fitted for 2 | |
3389 | counter[3] = 0; //how many groups are fitted for 4 | |
3390 | Double_t sum = 0.0; | |
3391 | Double_t scale = 1.0; | |
3392 | ||
3393 | // Scale the histo | |
3394 | // Is -1 if no fit or mean, is 1 if fit or mean | |
3395 | Double_t *xValuesFitted = new Double_t[nbins]; | |
3396 | Double_t *xValuesFittedMean = new Double_t[nbins]; | |
3397 | Double_t *xValuesFittedBis = new Double_t[nbins]; | |
3398 | Double_t *xValuesFittedMeanW = new Double_t[nbins]; | |
3399 | for(Int_t k = 0; k < nbins; k ++){ | |
3400 | xValuesFitted[k] = -1; | |
3401 | xValuesFittedMean[k] = -1; | |
3402 | xValuesFittedMeanW[k] = -1; | |
3403 | xValuesFittedBis[k] = -1; | |
3404 | } | |
3405 | ||
3406 | if(fFitChargeOn){ | |
3407 | sum = 0.0; | |
3408 | for(Int_t l = 0; l < nbins; l++){ | |
3409 | if(fCoefCharge[0][l] > 0){ | |
3410 | sum += fCoefCharge[0][l]; | |
3411 | xValuesFitted[counter[0]]= l; | |
3412 | counter[0]++; | |
3413 | } | |
3414 | } | |
3415 | scale = 1.0; | |
3416 | if(sum > 0.0) scale = counter[0]/sum; | |
3417 | if(fFitChargeNDB == 0){ | |
3418 | if(scale != fScaleFitFactor){ | |
3419 | AliInfo(Form("The normalisation is different from a nomalisation to one.")); | |
3420 | AliInfo(Form("For one we have %f and here %f",scale,fScaleFitFactor)); | |
bb9cc02b | 3421 | if(!fAccCDB) { |
3422 | AliInfo(Form("It is not normal because we didn't choose a reference database!")); | |
3423 | } | |
55a288e5 | 3424 | } |
3425 | scale = fScaleFitFactor; | |
3426 | } | |
3427 | for(Int_t l = 0; l < nbins; l++){ | |
3428 | if(fCoefCharge[0][l] > 0){ | |
3429 | fCoefCharge[0][l]=fCoefCharge[0][l]*scale; | |
3430 | fCoefChargeE[0][l]=fCoefChargeE[0][l]*scale; | |
3431 | } | |
3432 | } | |
3433 | } | |
3434 | ||
3435 | if(fFitMeanWOn){ | |
3436 | sum = 0.0; | |
3437 | for(Int_t l = 0; l < nbins; l++){ | |
3438 | if(fCoefCharge[4][l] > 0){ | |
3439 | sum += fCoefCharge[4][l]; | |
3440 | xValuesFittedMeanW[counter[3]]= l; | |
3441 | counter[3]++; | |
3442 | } | |
3443 | } | |
3444 | scale = 1.0; | |
3445 | if(sum > 0.0) scale = counter[3]/sum; | |
3446 | if(fFitChargeNDB == 4){ | |
3447 | if(scale != fScaleFitFactor){ | |
3448 | AliInfo(Form("The normalisation is different from a nomalisation to one.")); | |
3449 | AliInfo(Form("For one we have %f and here %f",scale,fScaleFitFactor)); | |
bb9cc02b | 3450 | if(!fAccCDB) { |
3451 | AliInfo(Form("It is not normal because we didn't choose a reference database!")); | |
3452 | } | |
55a288e5 | 3453 | } |
3454 | scale = fScaleFitFactor; | |
3455 | } | |
3456 | for(Int_t l = 0; l < nbins; l++){ | |
3457 | if(fCoefCharge[4][l] > 0){ | |
3458 | fCoefCharge[4][l]=fCoefCharge[4][l]*scale; | |
3459 | fCoefChargeE[3][l]=fCoefChargeE[3][l]*scale; | |
3460 | } | |
3461 | } | |
3462 | } | |
3463 | ||
3464 | if(fMeanChargeOn){ | |
3465 | sum = 0.0; | |
3466 | for(Int_t l = 0; l < nbins; l++){ | |
3467 | if(fCoefCharge[1][l] > 0){ | |
3468 | sum += fCoefCharge[1][l]; | |
3469 | xValuesFittedMean[counter[1]]= l; | |
3470 | counter[1]++; | |
3471 | } | |
3472 | } | |
3473 | scale = 1.0; | |
3474 | if(sum > 0.0) scale = counter[1]/sum; | |
3475 | if(fFitChargeNDB == 1){ | |
3476 | if(scale != fScaleFitFactor){ | |
3477 | AliInfo(Form("The normalisation is different from a nomalisation to one.")); | |
3478 | AliInfo(Form("For one we have %f and here %f",scale,fScaleFitFactor)); | |
bb9cc02b | 3479 | if(!fAccCDB) { |
3480 | AliInfo(Form("It is not normal because we didn't choose a reference database!")); | |
3481 | } | |
55a288e5 | 3482 | } |
3483 | scale = fScaleFitFactor; | |
3484 | } | |
3485 | for(Int_t l = 0; l < nbins; l++){ | |
3486 | if(fCoefCharge[1][l] > 0){ | |
3487 | fCoefCharge[1][l]=fCoefCharge[1][l]*scale; | |
3488 | fCoefChargeE[1][l]=fCoefChargeE[1][l]*scale; | |
3489 | } | |
3490 | } | |
3491 | } | |
3492 | ||
3493 | if(fFitChargeBisOn){ | |
3494 | sum = 0.0; | |
3495 | for(Int_t l = 0; l < nbins; l++){ | |
3496 | if(fCoefCharge[2][l] > 0){ | |
3497 | sum += fCoefCharge[2][l]; | |
3498 | xValuesFittedBis[counter[2]]= l; | |
3499 | counter[2]++; | |
3500 | } | |
3501 | } | |
3502 | scale = 1.0; | |
3503 | if(sum > 0.0) scale = counter[2]/sum; | |
3504 | if(fFitChargeNDB == 0){ | |
3505 | if(scale != fScaleFitFactor){ | |
3506 | AliInfo(Form("The normalisation is different from a nomalisation to one.")); | |
3507 | AliInfo(Form("For one we have %f and here %f",scale,fScaleFitFactor)); | |
bb9cc02b | 3508 | if(!fAccCDB) { |
3509 | AliInfo(Form("It is not normal because we didn't choose a reference database!")); | |
3510 | } | |
55a288e5 | 3511 | } |
3512 | scale = fScaleFitFactor; | |
3513 | } | |
3514 | for(Int_t l = 0; l < nbins; l++){ | |
3515 | if(fCoefCharge[2][l] > 0){ | |
3516 | fCoefCharge[2][l]=fCoefCharge[2][l]*scale; | |
3517 | fCoefChargeE[2][l]=fCoefChargeE[2][l]*scale; | |
3518 | } | |
3519 | } | |
3520 | } | |
3521 | ||
3522 | // Create the X and Xerror | |
3523 | Double_t *xValues = new Double_t[nbins]; | |
3524 | Double_t *xValuesE = new Double_t[nbins]; | |
3525 | for(Int_t k = 0; k < nbins; k ++){ | |
3526 | xValues[k] = k; | |
3527 | xValuesE[k] = 0.0; | |
3528 | } | |
3529 | ||
3530 | // Create the graph erros and plot them | |
3531 | TCanvas *cch1 = new TCanvas("cch1","",50,50,600,800); | |
3532 | cch1->cd(); | |
3533 | TLegend *legch1 = new TLegend(0.4,0.6,0.89,0.89); | |
3534 | ||
3535 | TGraph *graphCharge3 = new TGraph(nbins,xValues,fCoefCharge[3]); | |
3536 | graphCharge3->SetName("coefcharge3"); | |
3537 | graphCharge3->SetTitle(""); | |
3538 | graphCharge3->GetXaxis()->SetTitle("Det/Pad groups"); | |
3539 | graphCharge3->GetYaxis()->SetTitle("gain factor"); | |
3540 | graphCharge3->SetLineColor(4); | |
3541 | graphCharge3->SetMarkerStyle(25); | |
3542 | graphCharge3->SetMarkerColor(4); | |
3543 | listofgraphs->Add((TObject *)graphCharge3); | |
3544 | legch1->AddEntry(graphCharge3,"f_{g} simulated","p"); | |
3545 | graphCharge3->Draw("AP"); | |
3546 | ||
3547 | if (fFitChargeOn) { | |
3548 | TGraphErrors *graphCharge0 = new TGraphErrors(nbins,xValues,fCoefCharge[0],xValuesE,fCoefChargeE[0]); | |
3549 | graphCharge0->SetName("coefcharge0"); | |
3550 | graphCharge0->SetTitle(""); | |
3551 | graphCharge0->GetXaxis()->SetTitle("Det/Pad groups"); | |
3552 | graphCharge0->GetYaxis()->SetTitle("gain factor"); | |
3553 | graphCharge0->SetMarkerColor(6); | |
3554 | graphCharge0->SetLineColor(6); | |
3555 | graphCharge0->SetMarkerStyle(26); | |
3556 | listofgraphs->Add((TObject *)graphCharge0); | |
3557 | legch1->AddEntry(graphCharge0,"f_{g} fit","p"); | |
3558 | graphCharge0->Draw("P"); | |
3559 | } | |
3560 | if (fFitMeanWOn) { | |
3561 | TGraphErrors *graphCharge4 = new TGraphErrors(nbins,xValues,fCoefCharge[4],xValuesE,fCoefChargeE[3]); | |
3562 | graphCharge4->SetName("coefcharge4"); | |
3563 | graphCharge4->SetTitle(""); | |
3564 | graphCharge4->GetXaxis()->SetTitle("Det/Pad groups"); | |
3565 | graphCharge4->GetYaxis()->SetTitle("gain factor"); | |
3566 | graphCharge4->SetMarkerColor(1); | |
3567 | graphCharge4->SetLineColor(1); | |
3568 | graphCharge4->SetMarkerStyle(30); | |
3569 | listofgraphs->Add((TObject *)graphCharge4); | |
3570 | legch1->AddEntry(graphCharge4,"f_{g} Mean W","p"); | |
3571 | graphCharge4->Draw("P"); | |
3572 | } | |
3573 | if (fMeanChargeOn) { | |
3574 | TGraphErrors *graphCharge1 = new TGraphErrors(nbins,xValues,fCoefCharge[1],xValuesE,fCoefChargeE[1]); | |
3575 | graphCharge1->SetName("coefcharge1"); | |
3576 | graphCharge1->GetXaxis()->SetTitle("Det/Pad groups"); | |
3577 | graphCharge1->GetYaxis()->SetTitle("gain factor"); | |
3578 | graphCharge1->SetTitle(""); | |
3579 | graphCharge1->SetMarkerColor(2); | |
3580 | graphCharge1->SetLineColor(2); | |
3581 | graphCharge1->SetMarkerStyle(24); | |
3582 | legch1->AddEntry(graphCharge1,"f_{g} mean","p"); | |
3583 | graphCharge1->Draw("P"); | |
3584 | listofgraphs->Add((TObject *)graphCharge1); | |
3585 | } | |
3586 | if (fFitChargeBisOn ) { | |
3587 | TGraphErrors *graphCharge2 = new TGraphErrors(nbins,xValues,fCoefCharge[2],xValuesE,fCoefChargeE[2]); | |
3588 | graphCharge2->SetName("coefcharge2"); | |
3589 | graphCharge2->SetTitle(""); | |
3590 | graphCharge2->GetXaxis()->SetTitle("Det/Pad groups"); | |
3591 | graphCharge2->GetYaxis()->SetTitle("gain factor"); | |
3592 | graphCharge2->SetMarkerColor(8); | |
3593 | graphCharge2->SetLineColor(8); | |
3594 | graphCharge2->SetMarkerStyle(25); | |
3595 | legch1->AddEntry(graphCharge2,"f_{g} fitbis","p"); | |
3596 | graphCharge2->Draw("P"); | |
3597 | listofgraphs->Add((TObject *)graphCharge2); | |
3598 | } | |
3599 | legch1->Draw("same"); | |
3600 | ||
3601 | //Create the arrays and the graphs for the delta | |
3602 | Int_t thefirst = 0; | |
3603 | TCanvas *cch2 = new TCanvas("cch2","",50,50,600,800); | |
3604 | cch2->Divide(2,1); | |
3605 | TLegend *legch3 = new TLegend(0.4,0.6,0.89,0.89); | |
3606 | TLegend *legch2 = new TLegend(0.4,0.6,0.89,0.89); | |
3607 | ||
3608 | if(fFitChargeOn){ | |
3609 | cch2->cd(2); | |
3610 | Double_t *yValuesDelta = new Double_t[counter[0]]; | |
3611 | for(Int_t k = 0; k < counter[0]; k++){ | |
3612 | if (fCoefCharge[3][(Int_t)(xValuesFitted[k])] > 0.0) { | |
3613 | yValuesDelta[k] = (fCoefCharge[0][(Int_t)xValuesFitted[k]]-fCoefCharge[3][(Int_t)xValuesFitted[k]]) | |
3614 | / fCoefCharge[3][(Int_t)xValuesFitted[k]]; | |
3615 | } | |
3616 | else { | |
3617 | yValuesDelta[k] = 0.0; | |
3618 | } | |
3619 | } | |
3620 | TGraph *graphDeltaCharge0 = new TGraph(counter[0],&xValuesFitted[0],yValuesDelta); | |
3621 | graphDeltaCharge0->SetName("deltacharge0"); | |
3622 | graphDeltaCharge0->GetXaxis()->SetTitle("Det/Pad groups"); | |
3623 | graphDeltaCharge0->GetYaxis()->SetTitle("#Deltag/g_{sim}"); | |
3624 | graphDeltaCharge0->SetMarkerColor(6); | |
3625 | graphDeltaCharge0->SetTitle(""); | |
3626 | graphDeltaCharge0->SetLineColor(6); | |
3627 | graphDeltaCharge0->SetMarkerStyle(26); | |
3628 | listofgraphs->Add((TObject *)graphDeltaCharge0); | |
3629 | legch3->AddEntry(graphDeltaCharge0,"fit","p"); | |
3630 | graphDeltaCharge0->Draw("AP"); | |
3631 | ||
3632 | cch2->cd(1); | |
3633 | TH1I *histoErrorCharge0 = new TH1I("errorcharge0","",100 ,-0.10,0.10); | |
3634 | histoErrorCharge0->SetXTitle("#Deltag/g_{sim}"); | |
3635 | histoErrorCharge0->SetYTitle("counts"); | |
3636 | histoErrorCharge0->SetLineColor(6); | |
3637 | histoErrorCharge0->SetLineStyle(1); | |
3638 | histoErrorCharge0->SetStats(0); | |
3639 | Double_t maxvalue = 0.0; | |
3640 | for(Int_t k = 0; k < counter[0]; k++){ | |
3641 | histoErrorCharge0->Fill(yValuesDelta[k]); | |
3642 | if(k == 0) maxvalue = TMath::Abs(yValuesDelta[k]); | |
3643 | if(maxvalue < (TMath::Abs(yValuesDelta[k]))) maxvalue = TMath::Abs(yValuesDelta[k]); | |
3644 | } | |
3645 | AliInfo(Form("The maximum deviation found dor the fit method is %f",maxvalue)); | |
3646 | legch2->AddEntry(histoErrorCharge0,"f_{g} fit","l"); | |
3647 | histoErrorCharge0->Draw(); | |
3648 | listofgraphs->Add((TObject *)histoErrorCharge0); | |
3649 | thefirst =1; | |
3650 | } | |
3651 | ||
3652 | if(fFitMeanWOn){ | |
3653 | cch2->cd(2); | |
3654 | Double_t *yValuesDelta = new Double_t[counter[3]]; | |
3655 | for(Int_t k = 0; k < counter[3]; k++){ | |
3656 | if (fCoefCharge[3][(Int_t)(xValuesFittedMeanW[k])] > 0.0) { | |
3657 | yValuesDelta[k] = (fCoefCharge[4][(Int_t)xValuesFittedMeanW[k]]-fCoefCharge[3][(Int_t)xValuesFittedMeanW[k]]) | |
3658 | / fCoefCharge[3][(Int_t)xValuesFittedMeanW[k]]; | |
3659 | } | |
3660 | else { | |
3661 | yValuesDelta[k] = 0.0; | |
3662 | } | |
3663 | } | |
3664 | TGraph *graphDeltaCharge4 = new TGraph(counter[3],&xValuesFittedMeanW[0],yValuesDelta); | |
3665 | graphDeltaCharge4->SetName("deltacharge4"); | |
3666 | graphDeltaCharge4->GetXaxis()->SetTitle("Det/Pad groups"); | |
3667 | graphDeltaCharge4->GetYaxis()->SetTitle("#Deltag/g_{sim}"); | |
3668 | graphDeltaCharge4->SetMarkerColor(1); | |
3669 | graphDeltaCharge4->SetTitle(""); | |
3670 | graphDeltaCharge4->SetLineColor(1); | |
3671 | graphDeltaCharge4->SetMarkerStyle(30); | |
3672 | listofgraphs->Add((TObject *)graphDeltaCharge4); | |
3673 | legch3->AddEntry(graphDeltaCharge4,"Mean W","p"); | |
3674 | if(thefirst == 0){ | |
3675 | graphDeltaCharge4->Draw("AP"); | |
3676 | } | |
3677 | else { | |
3678 | graphDeltaCharge4->Draw("P"); | |
3679 | } | |
3680 | ||
3681 | cch2->cd(1); | |
3682 | TH1I *histoErrorCharge4 = new TH1I("errorcharge4","",100 ,-0.10,0.10); | |
3683 | histoErrorCharge4->SetXTitle("#Deltag/g_{sim}"); | |
3684 | histoErrorCharge4->SetYTitle("counts"); | |
3685 | histoErrorCharge4->SetLineColor(1); | |
3686 | histoErrorCharge4->SetLineStyle(1); | |
3687 | histoErrorCharge4->SetStats(0); | |
3688 | Double_t maxvalue = 0.0; | |
3689 | for(Int_t k = 0; k < counter[3]; k++){ | |
3690 | histoErrorCharge4->Fill(yValuesDelta[k]); | |
3691 | if(k == 0) maxvalue = yValuesDelta[k]; | |
3692 | if(maxvalue < (TMath::Abs(yValuesDelta[k]))) maxvalue = TMath::Abs(yValuesDelta[k]); | |
3693 | } | |
3694 | AliInfo(Form("The maximum deviation found for the meanW method is %f",maxvalue)); | |
3695 | legch2->AddEntry(histoErrorCharge4,"f_{g} Mean W","l"); | |
3696 | if(thefirst == 0){ | |
3697 | histoErrorCharge4->Draw(); | |
3698 | } | |
3699 | else { | |
3700 | histoErrorCharge4->Draw("same"); | |
3701 | } | |
3702 | listofgraphs->Add((TObject *)histoErrorCharge4); | |
3703 | thefirst =1; | |
3704 | } | |
3705 | ||
3706 | if (fMeanChargeOn) { | |
3707 | cch2->cd(2); | |
3708 | Double_t *yValuesDeltaMean = new Double_t[counter[1]]; | |
3709 | for (Int_t k = 0; k < counter[1]; k++){ | |
3710 | if (fCoefCharge[3][(Int_t)xValuesFittedMean[k]] > 0.0) { | |
3711 | yValuesDeltaMean[k] = (fCoefCharge[1][(Int_t)xValuesFittedMean[k]]-fCoefCharge[3][(Int_t)xValuesFittedMean[k]]) | |
3712 | / fCoefCharge[3][(Int_t)xValuesFittedMean[k]]; | |
3713 | } | |
3714 | else { | |
3715 | yValuesDeltaMean[k] = 0.0; | |
3716 | } | |
3717 | } | |
3718 | TGraph *graphDeltaCharge1 = new TGraph(counter[1],&xValuesFittedMean[0],yValuesDeltaMean); | |
3719 | graphDeltaCharge1->SetName("deltacharge1"); | |
3720 | graphDeltaCharge1->GetXaxis()->SetTitle("Det/Pad groups"); | |
3721 | graphDeltaCharge1->GetYaxis()->SetTitle("#Deltag/g_{sim}"); | |
3722 | graphDeltaCharge1->SetMarkerColor(2); | |
3723 | graphDeltaCharge1->SetMarkerStyle(24); | |
3724 | graphDeltaCharge1->SetLineColor(2); | |
3725 | graphDeltaCharge1->SetTitle(""); | |
3726 | legch3->AddEntry(graphDeltaCharge1,"mean","p"); | |
3727 | if(thefirst == 0){ | |
3728 | graphDeltaCharge1->Draw("AP"); | |
3729 | } | |
3730 | else { | |
3731 | graphDeltaCharge1->Draw("P"); | |
3732 | } | |
3733 | listofgraphs->Add((TObject *)graphDeltaCharge1); | |
3734 | ||
3735 | cch2->cd(1); | |
3736 | TH1I *histoErrorCharge1 = new TH1I("errorcharge1","",100 ,-0.10,0.10); | |
3737 | histoErrorCharge1->SetXTitle("#Deltag/g_{sim}"); | |
3738 | histoErrorCharge1->SetYTitle("counts"); | |
3739 | histoErrorCharge1->SetLineColor(2); | |
3740 | histoErrorCharge1->SetLineStyle(2); | |
3741 | histoErrorCharge1->SetStats(0); | |
3742 | Double_t maxvalue = 0.0; | |
3743 | for(Int_t k = 0; k < counter[1]; k++){ | |
3744 | histoErrorCharge1->Fill(yValuesDeltaMean[k]); | |
3745 | if(k == 0) maxvalue = TMath::Abs(yValuesDeltaMean[k]); | |
3746 | if(maxvalue < (TMath::Abs(yValuesDeltaMean[k]))) maxvalue = TMath::Abs(yValuesDeltaMean[k]); | |
3747 | } | |
3748 | AliInfo(Form("The maximum deviation found for the mean method is %f",maxvalue)); | |
3749 | legch2->AddEntry(histoErrorCharge1,"f_{g} mean","l"); | |
3750 | if(thefirst == 0){ | |
3751 | histoErrorCharge1->Draw(); | |
3752 | } | |
3753 | else { | |
3754 | histoErrorCharge1->Draw("same"); | |
3755 | } | |
3756 | listofgraphs->Add((TObject *)histoErrorCharge1); | |
3757 | thefirst = 1; | |
3758 | } | |
3759 | ||
3760 | if (fFitChargeBisOn) { | |
3761 | cch2->cd(2); | |
3762 | Double_t *yValuesDeltaBis = new Double_t[counter[2]]; | |
3763 | for(Int_t k = 0; k < counter[2]; k++){ | |
3764 | if (fCoefCharge[3][(Int_t)xValuesFittedBis[k]] > 0.0) { | |
3765 | yValuesDeltaBis[k] = (fCoefCharge[2][(Int_t)xValuesFittedBis[k]]-fCoefCharge[3][(Int_t)xValuesFittedBis[k]]) | |
3766 | / fCoefCharge[3][(Int_t)xValuesFittedBis[k]]; | |
3767 | } | |
3768 | else { | |
3769 | yValuesDeltaBis[k] = 0.0; | |
3770 | } | |
3771 | } | |
3772 | TGraph *graphDeltaCharge2 = new TGraph(counter[2],&xValuesFittedBis[0],yValuesDeltaBis); | |
3773 | graphDeltaCharge2->SetName("deltacharge2"); | |
3774 | graphDeltaCharge2->GetXaxis()->SetTitle("Det/Pad groups"); | |
3775 | graphDeltaCharge2->GetYaxis()->SetTitle("#Deltag/g_{sim}"); | |
3776 | graphDeltaCharge2->SetMarkerColor(8); | |
3777 | graphDeltaCharge2->SetLineColor(8); | |
3778 | graphDeltaCharge2->SetMarkerStyle(25); | |
3779 | legch3->AddEntry(graphDeltaCharge2,"fit","p"); | |
3780 | graphDeltaCharge2->SetTitle(""); | |
3781 | if(thefirst == 0){ | |
3782 | graphDeltaCharge2->Draw("AP"); | |
3783 | } | |
3784 | else { | |
3785 | graphDeltaCharge2->Draw("P"); | |
3786 | } | |
3787 | listofgraphs->Add((TObject *)graphDeltaCharge2); | |
3788 | ||
3789 | cch2->cd(1); | |
3790 | TH1I *histoErrorCharge2 = new TH1I("errorcharge2","",100 ,-0.10, 0.10); | |
3791 | histoErrorCharge2->SetXTitle("#Deltag/g_{sim}"); | |
3792 | histoErrorCharge2->SetYTitle("counts"); | |
3793 | histoErrorCharge2->SetLineColor(8); | |
3794 | histoErrorCharge2->SetLineStyle(5); | |
3795 | histoErrorCharge2->SetLineWidth(3); | |
3796 | histoErrorCharge2->SetStats(0); | |
3797 | Double_t maxvalue = 0.0; | |
3798 | for(Int_t k = 0; k < counter[2]; k++){ | |
3799 | histoErrorCharge2->Fill(yValuesDeltaBis[k]); | |
3800 | if(k == 0) maxvalue = TMath::Abs(yValuesDeltaBis[k]); | |
3801 | if(maxvalue < (TMath::Abs(yValuesDeltaBis[k]))) maxvalue = TMath::Abs(yValuesDeltaBis[k]); | |
3802 | } | |
3803 | AliInfo(Form("The maximum deviation found for the fit bis method is %f",maxvalue)); | |
3804 | legch2->AddEntry(histoErrorCharge2,"f_{g} fitbis","l"); | |
3805 | if(thefirst == 0){ | |
3806 | histoErrorCharge2->Draw(); | |
3807 | } | |
3808 | else { | |
3809 | histoErrorCharge2->Draw("same"); | |
3810 | } | |
3811 | listofgraphs->Add((TObject *)histoErrorCharge2); | |
3812 | //it doesn't matter anymore but... | |
3813 | thefirst = 1; | |
3814 | } | |
3815 | ||
3816 | cch2->cd(2); | |
3817 | legch3->Draw("same"); | |
3818 | cch2->cd(1); | |
3819 | legch2->Draw("same"); | |
3820 | ||
3821 | //Write if wanted | |
3822 | if (fWriteCoef[0]){ | |
3823 | TFile *fout = TFile::Open(fWriteNameCoef,"UPDATE"); | |
3824 | // Check if the file could be opened | |
3825 | if (!fout || !fout->IsOpen()) { | |
3826 | AliInfo("No File found!"); | |
3827 | } | |
3828 | ||
3829 | else{ | |
3830 | for(Int_t k = 0; k < listofgraphs->GetEntriesFast(); k++){ | |
3831 | fout->WriteTObject((TObject *) listofgraphs->At(k),((TObject *)listofgraphs->At(k))->GetName() | |
3832 | ,(Option_t *) "OverWrite"); | |
3833 | } | |
3834 | } | |
3835 | fout->Close(); | |
3836 | } | |
3837 | ||
3838 | } | |
3839 | ||
3840 | //_____________________________________________________________________________ | |
3841 | void AliTRDCalibraFit::PlotWritePH() | |
3842 | { | |
3843 | // | |
3844 | // create the graph errors and write them if wanted | |
3845 | // | |
3846 | ||
3847 | //TObjArray of the grapherrors and so on | |
3848 | TObjArray *listofgraphs = new TObjArray(); | |
3849 | ||
3850 | Int_t nbins = fDect2[1]-fDect1[1]; | |
3851 | ||
3852 | //See the number of fitted for delta | |
3853 | ||
3854 | //counter | |
3855 | Int_t counter[3]; | |
3856 | counter[0] = 0; | |
3857 | counter[1] = 0; | |
3858 | counter[2] = 0; | |
3859 | ||
3860 | Double_t *xValuesFitted = new Double_t[nbins]; | |
3861 | Double_t *xValuesFittedPH = new Double_t[nbins]; | |
3862 | Double_t *xValuesFittedLP = new Double_t[nbins]; | |
3863 | for(Int_t k = 0; k < nbins; k ++){ | |
3864 | xValuesFitted[k] = -1; | |
3865 | xValuesFittedPH[k] = -1; | |
3866 | xValuesFittedLP[k] = -1; | |
3867 | } | |
3868 | ||
3869 | if(fFitPol2On){ | |
3870 | for(Int_t l = 0; l < nbins; l++){ | |
3871 | if(fCoefVdrift[1][l] > 0){ | |
3872 | xValuesFitted[counter[1]]=l; | |
3873 | counter[1]++; | |
3874 | } | |
3875 | } | |
3876 | } | |
3877 | if(fFitLagrPolOn){ | |
3878 | for(Int_t l = 0; l < nbins; l++){ | |
3879 | if(fCoefVdrift[3][l] > 0){ | |
3880 | xValuesFittedLP[counter[2]]=l; | |
3881 | counter[2]++; | |
3882 | } | |
3883 | } | |
3884 | } | |
3885 | if(fFitPHOn){ | |
3886 | for(Int_t l = 0; l < nbins; l++){ | |
3887 | if(fCoefVdrift[0][l] > 0){ | |
3888 | xValuesFittedPH[counter[0]]= l; | |
3889 | counter[0]++; | |
3890 | } | |
3891 | } | |
3892 | } | |
3893 | ||
3894 | //Create the X and Xerror | |
3895 | Double_t *xValues = new Double_t[nbins]; | |
3896 | Double_t *xValuesE = new Double_t[nbins]; | |
3897 | for(Int_t k = 0; k < nbins; k ++){ | |
3898 | xValues[k] = k; | |
3899 | xValuesE[k] = 0.0; | |
3900 | } | |
3901 | ||
3902 | //Create the graph erros and plot them | |
3903 | TCanvas *cph1 = new TCanvas("cph1","",50,50,600,800); | |
3904 | cph1->cd(); | |
3905 | ||
3906 | TGraph *graphVdrift2 = new TGraph(nbins,xValues,fCoefVdrift[2]); | |
3907 | graphVdrift2->SetName("coefvdrift2"); | |
3908 | graphVdrift2->SetTitle(""); | |
3909 | graphVdrift2->GetXaxis()->SetTitle("Det/Pad groups"); | |
3910 | graphVdrift2->GetYaxis()->SetTitle("Vdrift [cm/#mus]"); | |
3911 | graphVdrift2->SetLineColor(4); | |
3912 | listofgraphs->Add((TObject *)graphVdrift2); | |
3913 | TLegend *legph1 = new TLegend(0.4,0.6,0.89,0.89); | |
3914 | legph1->AddEntry(graphVdrift2,"Vdrift simulated","l"); | |
3915 | graphVdrift2->Draw("AL"); | |
3916 | ||
3917 | if(fFitPol2On){ | |
3918 | TGraphErrors *graphVdrift1 = new TGraphErrors(nbins,xValues,fCoefVdrift[1],xValuesE,fCoefVdriftE[1]); | |
3919 | graphVdrift1->SetName("coefvdrift1"); | |
3920 | graphVdrift1->SetTitle(""); | |
3921 | graphVdrift1->GetXaxis()->SetTitle("Det/Pad groups"); | |
3922 | graphVdrift1->GetYaxis()->SetTitle("Vdrift [cm/#mus]"); | |
3923 | graphVdrift1->SetMarkerColor(6); | |
3924 | graphVdrift1->SetLineColor(6); | |
3925 | graphVdrift1->SetMarkerStyle(26); | |
3926 | listofgraphs->Add((TObject *)graphVdrift1); | |
3927 | legph1->AddEntry(graphVdrift1,"Vdrift fit","p"); | |
3928 | graphVdrift1->Draw("P"); | |
3929 | } | |
3930 | if (fFitPHOn) { | |
3931 | TGraphErrors *graphVdrift0 = new TGraphErrors(nbins,xValues,fCoefVdrift[0],xValuesE,fCoefVdriftE[0]); | |
3932 | graphVdrift0->SetName("coefVdrift0"); | |
3933 | graphVdrift0->GetXaxis()->SetTitle("Det/Pad groups"); | |
3934 | graphVdrift0->GetYaxis()->SetTitle("Vdrift [cm/#mus]"); | |
3935 | graphVdrift0->SetTitle(""); | |
3936 | graphVdrift0->SetMarkerColor(2); | |
3937 | graphVdrift0->SetLineColor(2); | |
3938 | graphVdrift0->SetMarkerStyle(24); | |
3939 | legph1->AddEntry(graphVdrift0,"v_{fit PH}","p"); | |
3940 | graphVdrift0->Draw("P"); | |
3941 | listofgraphs->Add((TObject *)graphVdrift0); | |
3942 | } | |
3943 | if (fFitLagrPolOn) { | |
3944 | TGraphErrors *graphVdrift3 = new TGraphErrors(nbins,xValues,fCoefVdrift[3],xValuesE,fCoefVdriftE[2]); | |
3945 | graphVdrift3->SetName("coefVdrift3"); | |
3946 | graphVdrift3->GetXaxis()->SetTitle("Det/Pad groups"); | |
3947 | graphVdrift3->GetYaxis()->SetTitle("Vdrift [cm/#mus]"); | |
3948 | graphVdrift3->SetTitle(""); | |
3949 | graphVdrift3->SetMarkerColor(1); | |
3950 | graphVdrift3->SetLineColor(1); | |
3951 | graphVdrift3->SetMarkerStyle(28); | |
3952 | legph1->AddEntry(graphVdrift3,"v_{LagrPol}","p"); | |
3953 | graphVdrift3->Draw("P"); | |
3954 | listofgraphs->Add((TObject *)graphVdrift3); | |
3955 | } | |
3956 | legph1->Draw("same"); | |
3957 | ||
3958 | //Create the arrays and the graphs for the delta | |
3959 | TCanvas *cph2 = new TCanvas("cph2","",50,50,600,800); | |
3960 | cph2->Divide(2,1); | |
3961 | TLegend *legph3 = new TLegend(0.4,0.6,0.89,0.89); | |
3962 | TLegend *legph2 = new TLegend(0.4,0.6,0.89,0.89); | |
3963 | Int_t first = 0; | |
3964 | ||
3965 | if(fFitPol2On){ | |
3966 | cph2->cd(2); | |
3967 | Double_t *yValuesDelta = new Double_t[counter[1]]; | |
3968 | for (Int_t k = 0; k < counter[1]; k++){ | |
3969 | if (fCoefVdrift[2][(Int_t)(xValuesFitted[k])] > 0.0) { | |
3970 | yValuesDelta[k] = (fCoefVdrift[1][(Int_t)xValuesFitted[k]]-fCoefVdrift[2][(Int_t)xValuesFitted[k]]) | |
3971 | / fCoefVdrift[2][(Int_t)xValuesFitted[k]]; | |
3972 | } | |
3973 | else { | |
3974 | yValuesDelta[k] = 0.0; | |
3975 | } | |
3976 | } | |
3977 | TGraph *graphDeltaVdrift1 = new TGraph(counter[1],&xValuesFitted[0],yValuesDelta); | |
3978 | graphDeltaVdrift1->SetName("deltavdrift1"); | |
3979 | graphDeltaVdrift1->GetXaxis()->SetTitle("Det/Pad groups"); | |
3980 | graphDeltaVdrift1->GetYaxis()->SetTitle("#Deltav/v_{sim}"); | |
3981 | graphDeltaVdrift1->SetMarkerColor(6); | |
3982 | graphDeltaVdrift1->SetTitle(""); | |
3983 | graphDeltaVdrift1->SetLineColor(6); | |
3984 | graphDeltaVdrift1->SetMarkerStyle(26); | |
3985 | listofgraphs->Add((TObject *)graphDeltaVdrift1); | |
3986 | legph3->AddEntry(graphDeltaVdrift1,"v_{slope method}","p"); | |
3987 | graphDeltaVdrift1->Draw("AP"); | |
3988 | ||
3989 | cph2->cd(1); | |
3990 | TH1I *histoErrorVdrift1 = new TH1I("errorvdrift1","",100 ,-0.2,0.2); | |
3991 | histoErrorVdrift1->SetXTitle("#Deltav/v_{sim}"); | |
3992 | histoErrorVdrift1->SetYTitle("counts"); | |
3993 | histoErrorVdrift1->SetLineColor(6); | |
3994 | histoErrorVdrift1->SetLineStyle(1); | |
3995 | histoErrorVdrift1->SetStats(0); | |
3996 | Double_t maxvalue = 0.0; | |
3997 | for(Int_t k = 0; k < counter[1]; k++){ | |
3998 | histoErrorVdrift1->Fill(yValuesDelta[k]); | |
3999 | if(k == 0) maxvalue = yValuesDelta[k]; | |
4000 | if(maxvalue < (TMath::Abs(yValuesDelta[k]))) maxvalue = TMath::Abs(yValuesDelta[k]); | |
4001 | } | |
4002 | AliInfo(Form("The maximum deviation found for the Pol2 method is %f",maxvalue)); | |
4003 | legph2->AddEntry(histoErrorVdrift1,"v_{slope method}","l"); | |
4004 | histoErrorVdrift1->Draw(); | |
4005 | listofgraphs->Add((TObject *)histoErrorVdrift1); | |
4006 | first = 1; | |
4007 | } | |
4008 | ||
4009 | if (fFitPHOn) { | |
4010 | cph2->cd(2); | |
4011 | Double_t *yValuesDeltaPH = new Double_t[counter[0]]; | |
4012 | for(Int_t k = 0; k < counter[0]; k++){ | |
4013 | if(fCoefVdrift[2][(Int_t)xValuesFittedPH[k]] > 0.0) { | |
4014 | yValuesDeltaPH[k] = (fCoefVdrift[0][(Int_t)xValuesFittedPH[k]]-fCoefVdrift[2][(Int_t)xValuesFittedPH[k]])/fCoefVdrift[2][(Int_t)xValuesFittedPH[k]]; | |
4015 | } | |
4016 | else yValuesDeltaPH[k] = 0.0; | |
4017 | } | |
4018 | TGraph *graphDeltaVdrift0 = new TGraph(counter[0],&xValuesFittedPH[0],yValuesDeltaPH); | |
4019 | graphDeltaVdrift0->SetName("deltavdrift0"); | |
4020 | graphDeltaVdrift0->GetXaxis()->SetTitle("Det/Pad groups"); | |
4021 | graphDeltaVdrift0->GetYaxis()->SetTitle("#Deltav/v_{sim}"); | |
4022 | graphDeltaVdrift0->SetMarkerColor(2); | |
4023 | graphDeltaVdrift0->SetMarkerStyle(24); | |
4024 | graphDeltaVdrift0->SetLineColor(2); | |
4025 | graphDeltaVdrift0->SetTitle(""); | |
4026 | legph3->AddEntry(graphDeltaVdrift0,"v_{fit PH}","p"); | |
4027 | if(first){ | |
4028 | graphDeltaVdrift0->Draw("P"); | |
4029 | } | |
4030 | else { | |
4031 | graphDeltaVdrift0->Draw("AP"); | |
4032 | } | |
4033 | listofgraphs->Add((TObject *)graphDeltaVdrift0); | |
4034 | cph2->cd(1); | |
4035 | TH1I *histoErrorVdrift0 = new TH1I("errorvdrift0","",100 ,-0.2,0.2); | |
4036 | histoErrorVdrift0->SetXTitle("#Deltav/v_{sim}"); | |
4037 | histoErrorVdrift0->SetYTitle("counts"); | |
4038 | histoErrorVdrift0->SetLineColor(2); | |
4039 | histoErrorVdrift0->SetLineStyle(2); | |
4040 | histoErrorVdrift0->SetStats(0); | |
4041 | Double_t maxvalue = 0.0; | |
4042 | for(Int_t k = 0; k < counter[0]; k++){ | |
4043 | histoErrorVdrift0->Fill(yValuesDeltaPH[k]); | |
4044 | if(k == 0) maxvalue = yValuesDeltaPH[k]; | |
4045 | if(maxvalue < (TMath::Abs(yValuesDeltaPH[k]))) maxvalue = TMath::Abs(yValuesDeltaPH[k]); | |
4046 | } | |
4047 | AliInfo(Form("The maximum deviation found for the fit method is %f",maxvalue)); | |
4048 | legph2->AddEntry(histoErrorVdrift0,"v_{fit PH}","l"); | |
4049 | if(first){ | |
4050 | histoErrorVdrift0->Draw("same"); | |
4051 | } | |
4052 | else { | |
4053 | histoErrorVdrift0->Draw(); | |
4054 | } | |
4055 | listofgraphs->Add((TObject *)histoErrorVdrift0); | |
4056 | first = 1; | |
4057 | } | |
4058 | ||
4059 | if (fFitLagrPolOn) { | |
4060 | cph2->cd(2); | |
4061 | Double_t *yValuesDeltaPH = new Double_t[counter[2]]; | |
4062 | for (Int_t k = 0; k < counter[2]; k++){ | |
4063 | if (fCoefVdrift[2][(Int_t)xValuesFittedLP[k]] > 0.0) { | |
4064 | yValuesDeltaPH[k] = (fCoefVdrift[3][(Int_t)xValuesFittedLP[k]]-fCoefVdrift[2][(Int_t)xValuesFittedLP[k]]) | |
4065 | / fCoefVdrift[2][(Int_t)xValuesFittedLP[k]]; | |
4066 | } | |
4067 | else { | |
4068 | yValuesDeltaPH[k] = 0.0; | |
4069 | } | |
4070 | } | |
4071 | TGraph *graphDeltaVdrift3 = new TGraph(counter[2],&xValuesFittedLP[0],yValuesDeltaPH); | |
4072 | graphDeltaVdrift3->SetName("deltavdrift3"); | |
4073 | graphDeltaVdrift3->GetXaxis()->SetTitle("Det/Pad groups"); | |
4074 | graphDeltaVdrift3->GetYaxis()->SetTitle("#Deltav/v_{sim}"); | |
4075 | graphDeltaVdrift3->SetMarkerColor(1); | |
4076 | graphDeltaVdrift3->SetMarkerStyle(28); | |
4077 | graphDeltaVdrift3->SetLineColor(1); | |
4078 | graphDeltaVdrift3->SetTitle(""); | |
4079 | legph3->AddEntry(graphDeltaVdrift3,"v_{LagrPol}","p"); | |
4080 | if(first){ | |
4081 | graphDeltaVdrift3->Draw("P"); | |
4082 | } | |
4083 | else { | |
4084 | graphDeltaVdrift3->Draw("AP"); | |
4085 | } | |
4086 | listofgraphs->Add((TObject *)graphDeltaVdrift3); | |
4087 | cph2->cd(1); | |
4088 | TH1I *histoErrorVdrift3 = new TH1I("errorvdrift3","",100 ,-0.2,0.2); | |
4089 | histoErrorVdrift3->SetXTitle("#Deltav/v_{sim}"); | |
4090 | histoErrorVdrift3->SetYTitle("counts"); | |
4091 | histoErrorVdrift3->SetLineColor(1); | |
4092 | histoErrorVdrift3->SetLineStyle(1); | |
4093 | histoErrorVdrift3->SetStats(0); | |
4094 | Double_t maxvalue = 0.0; | |
4095 | for(Int_t k = 0; k < counter[2]; k++){ | |
4096 | histoErrorVdrift3->Fill(yValuesDeltaPH[k]); | |
4097 | if(k == 0) maxvalue = yValuesDeltaPH[k]; | |
4098 | if(maxvalue < (TMath::Abs(yValuesDeltaPH[k]))) maxvalue = TMath::Abs(yValuesDeltaPH[k]); | |
4099 | } | |
4100 | AliInfo(Form("The maximum deviation found for the LagrPol method is %f",maxvalue)); | |
4101 | legph2->AddEntry(histoErrorVdrift3,"v_{LagrPol}","l"); | |
4102 | if(first){ | |
4103 | histoErrorVdrift3->Draw("same"); | |
4104 | } | |
4105 | else { | |
4106 | histoErrorVdrift3->Draw(); | |
4107 | } | |
4108 | listofgraphs->Add((TObject *)histoErrorVdrift3); | |
4109 | first = 1; | |
4110 | } | |
4111 | cph2->cd(2); | |
4112 | legph3->Draw("same"); | |
4113 | cph2->cd(1); | |
4114 | legph2->Draw("same"); | |
4115 | ||
4116 | //Write if wanted | |
4117 | if (fWriteCoef[1]){ | |
4118 | TFile *fout = TFile::Open(fWriteNameCoef,"UPDATE"); | |
4119 | // Check if the file could be opened | |
4120 | if (!fout || !fout->IsOpen()) { | |
4121 | AliInfo("No File found!"); | |
4122 | } | |
4123 | ||
4124 | else{ | |
4125 | for(Int_t k = 0; k < listofgraphs->GetEntriesFast(); k++){ | |
4126 | fout->WriteTObject((TObject *) listofgraphs->At(k),((TObject *)listofgraphs->At(k))->GetName() | |
4127 | ,(Option_t *) "OverWrite"); | |
4128 | } | |
4129 | } | |
4130 | fout->Close(); | |
4131 | } | |
4132 | ||
4133 | } | |
4134 | ||
4135 | //_____________________________________________________________________________ | |
4136 | void AliTRDCalibraFit::PlotWriteT0() | |
4137 | { | |
4138 | // | |
4139 | // create the graph errors and write them if wanted | |
4140 | // | |
4141 | ||
4142 | //TObjArray of the grapherrors and so on | |
4143 | TObjArray *listofgraphs = new TObjArray(); | |
4144 | ||
4145 | Int_t nbins = fDect2[1]-fDect1[1]; | |
4146 | ||
4147 | //See the number of fitted for delta: here T0 can be negative, we don't use the sign but the error | |
4148 | //and the grapherrors of the coefficients contained the no fitted with error 0.0 | |
4149 | ||
4150 | //counter | |
4151 | Int_t counter[3]; | |
4152 | counter[0] = 0; | |
4153 | counter[1] = 0; | |
4154 | counter[2] = 0; | |
4155 | ||
4156 | Double_t *xValuesFitted = new Double_t[nbins]; | |
4157 | Double_t *xValuesFittedPH = new Double_t[nbins]; | |
4158 | Double_t *xValuesFittedLP = new Double_t[nbins]; | |
4159 | for(Int_t k = 0; k < nbins; k ++){ | |
4160 | xValuesFitted[k] = -1; | |
4161 | xValuesFittedPH[k] = -1; | |
4162 | xValuesFittedLP[k] = -1; | |
4163 | } | |
4164 | ||
4165 | if(fFitPol2On){ | |
4166 | for(Int_t l = 0; l < nbins; l++){ | |
4167 | if(fCoefT0E[1][l] != 0.0){ | |
4168 | xValuesFitted[counter[1]]=l; | |
4169 | counter[1]++; | |
4170 | } | |
4171 | } | |
4172 | } | |
4173 | ||
4174 | if(fFitPHOn){ | |
4175 | for(Int_t l = 0; l < nbins; l++){ | |
4176 | if(fCoefT0E[0][l] != 0.0){ | |
4177 | xValuesFittedPH[counter[0]]= l; | |
4178 | counter[0]++; | |
4179 | } | |
4180 | } | |
4181 | } | |
4182 | ||
4183 | if(fFitLagrPolOn){ | |
4184 | for(Int_t l = 0; l < nbins; l++){ | |
4185 | if(fCoefT0E[2][l] == 1.0){ | |
4186 | xValuesFittedLP[counter[2]]= l; | |
4187 | counter[2]++; | |
4188 | } | |
4189 | } | |
4190 | } | |
4191 | ||
4192 | //Create the X and Xerror | |
4193 | Double_t *xValues = new Double_t[nbins]; | |
4194 | Double_t *xValuesE = new Double_t[nbins]; | |
4195 | for(Int_t k = 0; k < nbins; k ++){ | |
4196 | xValues[k] = k; | |
4197 | xValuesE[k] = 0.0; | |
4198 | } | |
4199 | ||
4200 | //Create the graph erros and plot them | |
4201 | TCanvas *ct01 = new TCanvas("ct01","",50,50,600,800); | |
4202 | ct01->cd(); | |
4203 | TLegend *legt01 = new TLegend(0.4,0.6,0.89,0.89); | |
4204 | ||
4205 | TGraph *graphT02 = new TGraph(nbins,xValues,fCoefT0[2]); | |
4206 | graphT02->SetName("coeft02"); | |
4207 | graphT02->SetTitle(""); | |
4208 | graphT02->GetXaxis()->SetTitle("Det/Pad groups"); | |
4209 | graphT02->GetYaxis()->SetTitle("T0 [time bins]"); | |
4210 | graphT02->SetLineColor(4); | |
4211 | listofgraphs->Add((TObject *)graphT02); | |
4212 | legt01->AddEntry(graphT02,"T0 simulated","l"); | |
4213 | graphT02->Draw("AL"); | |
4214 | ||
4215 | if(fFitPol2On){ | |
4216 | TGraphErrors *graphT01 = new TGraphErrors(nbins,xValues,fCoefT0[1],xValuesE,fCoefT0E[1]); | |
4217 | graphT01->SetName("coeft01"); | |
4218 | graphT01->SetTitle(""); | |
4219 | graphT01->GetXaxis()->SetTitle("Det/Pad groups"); | |
4220 | graphT01->GetYaxis()->SetTitle("T0 [time bins]"); | |
4221 | graphT01->SetMarkerColor(6); | |
4222 | graphT01->SetLineColor(6); | |
4223 | graphT01->SetMarkerStyle(26); | |
4224 | listofgraphs->Add((TObject *)graphT01); | |
4225 | legt01->AddEntry(graphT01,"T0 slope method","p"); | |
4226 | graphT01->Draw("P"); | |
4227 | } | |
4228 | if (fFitPHOn) { | |
4229 | TGraphErrors *graphT00 = new TGraphErrors(nbins,xValues,fCoefT0[0],xValuesE,fCoefT0E[0]); | |
4230 | graphT00->SetName("coeft00"); | |
4231 | graphT00->GetXaxis()->SetTitle("Det/Pad groups"); | |
4232 | graphT00->GetYaxis()->SetTitle("T0 [time bins]"); | |
4233 | graphT00->SetTitle(""); | |
4234 | graphT00->SetMarkerColor(2); | |
4235 | graphT00->SetLineColor(2); | |
4236 | graphT00->SetMarkerStyle(24); | |
4237 | legt01->AddEntry(graphT00,"T0 fit","p"); | |
4238 | graphT00->Draw("P"); | |
4239 | listofgraphs->Add((TObject *)graphT00); | |
4240 | } | |
4241 | if (fFitLagrPolOn) { | |
4242 | TGraphErrors *graphT03 = new TGraphErrors(nbins,xValues,fCoefT0[3],xValuesE,xValuesE); | |
4243 | graphT03->SetName("coeft03"); | |
4244 | graphT03->GetXaxis()->SetTitle("Det/Pad groups"); | |
4245 | graphT03->GetYaxis()->SetTitle("T0 [time bins]"); | |
4246 | graphT03->SetTitle(""); | |
4247 | graphT03->SetMarkerColor(1); | |
4248 | graphT03->SetLineColor(1); | |
4249 | graphT03->SetMarkerStyle(28); | |
4250 | legt01->AddEntry(graphT03,"T0 LagrPol","p"); | |
4251 | graphT03->Draw("P"); | |
4252 | listofgraphs->Add((TObject *)graphT03); | |
4253 | } | |
4254 | legt01->Draw("same"); | |
4255 | ||
4256 | //Create the arrays and the graphs for the delta | |
4257 | TCanvas *ct02 = new TCanvas("ct02","",50,50,600,800); | |
4258 | ct02->Divide(2,1); | |
4259 | TLegend *legt03 = new TLegend(0.4,0.6,0.89,0.89); | |
4260 | TLegend *legt02 = new TLegend(0.4,0.6,0.89,0.89); | |
4261 | Int_t first = 0; | |
4262 | ||
4263 | if(fFitPol2On){ | |
4264 | ct02->cd(2); | |
4265 | Double_t *yValuesDelta = new Double_t[counter[1]]; | |
4266 | for(Int_t k = 0; k < counter[1]; k++){ | |
4267 | yValuesDelta[k] = (fCoefT0[1][(Int_t)xValuesFitted[k]]-fCoefT0[2][(Int_t)xValuesFitted[k]]); | |
4268 | } | |
4269 | TGraph *graphDeltaT01 = new TGraph(counter[1],&xValuesFitted[0],yValuesDelta); | |
4270 | graphDeltaT01->SetName("deltat01"); | |
4271 | graphDeltaT01->GetXaxis()->SetTitle("Det/Pad groups"); | |
4272 | graphDeltaT01->GetYaxis()->SetTitle("#Deltat0 [time bins]"); | |
4273 | graphDeltaT01->SetMarkerColor(6); | |
4274 | graphDeltaT01->SetTitle(""); | |
4275 | graphDeltaT01->SetLineColor(6); | |
4276 | graphDeltaT01->SetMarkerStyle(26); | |
4277 | listofgraphs->Add((TObject *)graphDeltaT01); | |
4278 | legt03->AddEntry(graphDeltaT01,"T0_{slope method}","p"); | |
4279 | graphDeltaT01->Draw("AP"); | |
4280 | ||
4281 | ct02->cd(1); | |
4282 | TH1I *histoErrorT01 = new TH1I("errort01","",100 ,-0.2,0.2); | |
4283 | histoErrorT01->SetXTitle("#Deltat0 [time bins]"); | |
4284 | histoErrorT01->SetYTitle("counts"); | |
4285 | histoErrorT01->SetLineColor(6); | |
4286 | histoErrorT01->SetLineStyle(1); | |
4287 | histoErrorT01->SetStats(0); | |
4288 | Double_t maxvalue = 0.0; | |
4289 | for(Int_t k = 0; k < counter[1]; k++){ | |
4290 | histoErrorT01->Fill(yValuesDelta[k]); | |
4291 | if(k == 0) maxvalue = yValuesDelta[k]; | |
4292 | if(maxvalue < (TMath::Abs(yValuesDelta[k]))) maxvalue = (TMath::Abs(yValuesDelta[k])); | |
4293 | } | |
4294 | AliInfo(Form("The maximum deviation found for the Pol2 method is %f",maxvalue)); | |
4295 | legt02->AddEntry(histoErrorT01,"T0_{slope method}","l"); | |
4296 | histoErrorT01->Draw(); | |
4297 | listofgraphs->Add((TObject *)histoErrorT01); | |
4298 | first = 1; | |
4299 | } | |
4300 | if (fFitPHOn) { | |
4301 | ct02->cd(2); | |
4302 | Double_t *yValuesDeltaPH = new Double_t[counter[0]]; | |
4303 | for(Int_t k = 0; k < counter[0]; k++){ | |
4304 | yValuesDeltaPH[k] = (fCoefT0[0][(Int_t)xValuesFittedPH[k]]-fCoefT0[2][(Int_t)xValuesFittedPH[k]]); | |
4305 | } | |
4306 | TGraph *graphDeltaT00 = new TGraph(counter[0],&xValuesFittedPH[0],yValuesDeltaPH); | |
4307 | graphDeltaT00->SetName("deltat00"); | |
4308 | graphDeltaT00->GetXaxis()->SetTitle("Det/Pad groups"); | |
4309 | graphDeltaT00->GetYaxis()->SetTitle("#Deltat0 [time bins]"); | |
4310 | graphDeltaT00->SetMarkerColor(2); | |
4311 | graphDeltaT00->SetMarkerStyle(24); | |
4312 | graphDeltaT00->SetLineColor(2); | |
4313 | graphDeltaT00->SetTitle(""); | |
4314 | legt03->AddEntry(graphDeltaT00,"T0_{fit PH}","p"); | |
4315 | if(first) { | |
4316 | graphDeltaT00->Draw("P"); | |
4317 | } | |
4318 | else{ | |
4319 | graphDeltaT00->Draw("AP"); | |
4320 | } | |
4321 | listofgraphs->Add((TObject *)graphDeltaT00); | |
4322 | ct02->cd(1); | |
4323 | TH1I *histoErrorT00 = new TH1I("errort00","",100 ,-0.2,0.2); | |
4324 | histoErrorT00->SetXTitle("#Deltat0 [time bins]"); | |
4325 | histoErrorT00->SetYTitle("counts"); | |
4326 | histoErrorT00->SetLineColor(2); | |
4327 | histoErrorT00->SetLineStyle(2); | |
4328 | histoErrorT00->SetStats(0); | |
4329 | Double_t maxvalue = 0.0; | |
4330 | for(Int_t k = 0; k < counter[0]; k++){ | |
4331 | histoErrorT00->Fill(yValuesDeltaPH[k]); | |
4332 | if(k == 0) maxvalue = yValuesDeltaPH[k]; | |
4333 | if(maxvalue < (TMath::Abs(yValuesDeltaPH[k]))) maxvalue = (TMath::Abs(yValuesDeltaPH[k])); | |
4334 | } | |
4335 | AliInfo(Form("The maximum deviation found for the fit method is %f",maxvalue)); | |
4336 | legt02->AddEntry(histoErrorT00,"T0_{fit PH}","l"); | |
4337 | if(first){ | |
4338 | histoErrorT00->Draw("same"); | |
4339 | } | |
4340 | else{ | |
4341 | histoErrorT00->Draw(); | |
4342 | } | |
4343 | listofgraphs->Add((TObject *)histoErrorT00); | |
4344 | first = 1; | |
4345 | } | |
4346 | ||
4347 | if (fFitLagrPolOn) { | |
4348 | ct02->cd(2); | |
4349 | Double_t *yValuesDeltaPH = new Double_t[counter[2]]; | |
4350 | for(Int_t k = 0; k < counter[2]; k++){ | |
4351 | yValuesDeltaPH[k] = (fCoefT0[3][(Int_t)xValuesFittedLP[k]]-fCoefT0[2][(Int_t)xValuesFittedLP[k]]); | |
4352 | } | |
4353 | TGraph *graphDeltaT03 = new TGraph(counter[2],&xValuesFittedLP[0],yValuesDeltaPH); | |
4354 | graphDeltaT03->SetName("deltat03"); | |
4355 | graphDeltaT03->GetXaxis()->SetTitle("Det/Pad groups"); | |
4356 | graphDeltaT03->GetYaxis()->SetTitle("#Deltat0 [time bins]"); | |
4357 | graphDeltaT03->SetMarkerColor(1); | |
4358 | graphDeltaT03->SetMarkerStyle(28); | |
4359 | graphDeltaT03->SetLineColor(1); | |
4360 | graphDeltaT03->SetTitle(""); | |
4361 | legt03->AddEntry(graphDeltaT03,"T0_{LagrPol}","p"); | |
4362 | if(first) { | |
4363 | graphDeltaT03->Draw("P"); | |
4364 | } | |
4365 | else{ | |
4366 | graphDeltaT03->Draw("AP"); | |
4367 | } | |
4368 | listofgraphs->Add((TObject *)graphDeltaT03); | |
4369 | ct02->cd(1); | |
4370 | TH1I *histoErrorT03 = new TH1I("errort03","",100 ,-0.2,0.2); | |
4371 | histoErrorT03->SetXTitle("#Deltat0 [time bins]"); | |
4372 | histoErrorT03->SetYTitle("counts"); | |
4373 | histoErrorT03->SetLineColor(1); | |
4374 | histoErrorT03->SetLineStyle(1); | |
4375 | histoErrorT03->SetStats(0); | |
4376 | Double_t maxvalue = 0.0; | |
4377 | for(Int_t k = 0; k < counter[2]; k++){ | |
4378 | histoErrorT03->Fill(yValuesDeltaPH[k]); | |
4379 | if(k == 0) maxvalue = yValuesDeltaPH[k]; | |
4380 | if(maxvalue < (TMath::Abs(yValuesDeltaPH[k]))) maxvalue = (TMath::Abs(yValuesDeltaPH[k])); | |
4381 | } | |
4382 | AliInfo(Form("The maximum deviation found for the LagrPol method is %f",maxvalue)); | |
4383 | legt02->AddEntry(histoErrorT03,"T0_{LagrPol}","l"); | |
4384 | if(first){ | |
4385 | histoErrorT03->Draw("same"); | |
4386 | } | |
4387 | else{ | |
4388 | histoErrorT03->Draw(); | |
4389 | } | |
4390 | listofgraphs->Add((TObject *)histoErrorT03); | |
4391 | first = 1; | |
4392 | } | |
4393 | ||
4394 | ct02->cd(2); | |
4395 | legt03->Draw("same"); | |
4396 | ct02->cd(1); | |
4397 | legt02->Draw("same"); | |
4398 | ||
4399 | //Write if wanted | |
4400 | if (fWriteCoef[1]){ | |
4401 | TFile *fout = TFile::Open(fWriteNameCoef,"UPDATE"); | |
4402 | // Check if the file could be opened | |
4403 | if (!fout || !fout->IsOpen()) { | |
4404 | AliInfo("No File found!"); | |
4405 | } | |
4406 | ||
4407 | else{ | |
4408 | for(Int_t k = 0; k < listofgraphs->GetEntriesFast(); k++){ | |
4409 | fout->WriteTObject((TObject *) listofgraphs->At(k),((TObject *)listofgraphs->At(k))->GetName() | |
4410 | ,(Option_t *) "OverWrite"); | |
4411 | } | |
4412 | } | |
4413 | fout->Close(); | |
4414 | } | |
4415 | ||
4416 | } | |
4417 | ||
4418 | //_____________________________________________________________________________ | |
4419 | void AliTRDCalibraFit::PlotWritePRF() | |
4420 | { | |
4421 | // | |
4422 | // create the graph errors and write them if wanted | |
4423 | // | |
4424 | ||
4425 | //TObjArray of the grapherrors and so on | |
4426 | TObjArray *listofgraphs = new TObjArray(); | |
4427 | ||
4428 | Int_t nbins = fDect2[2]-fDect1[2]; | |
4429 | ||
4430 | //See the number of fitted for delta | |
4431 | ||
4432 | //counter | |
4433 | Int_t counter[2]; | |
4434 | counter[0] = 0; | |
4435 | counter[1] = 0; | |
4436 | ||
4437 | Double_t *xValuesFitted = new Double_t[nbins]; | |
4438 | for(Int_t k = 0; k < nbins; k ++){ | |
4439 | xValuesFitted[k] = -1; | |
4440 | } | |
4441 | Double_t *xValuesRMS = new Double_t[nbins]; | |
4442 | for(Int_t k = 0; k < nbins; k ++){ | |
4443 | xValuesRMS[k] = -1; | |
4444 | } | |
4445 | ||
4446 | if(fFitPRFOn){ | |
4447 | for(Int_t l = 0; l < nbins; l++){ | |
4448 | if(fCoefPRF[0][l] > 0){ | |
4449 | xValuesFitted[counter[0]]=l; | |
4450 | counter[0]++; | |
4451 | } | |
4452 | } | |
4453 | } | |
4454 | if(fRMSPRFOn){ | |
4455 | for(Int_t l = 0; l < nbins; l++){ | |
4456 | if(fCoefPRF[2][l] > 0){ | |
4457 | xValuesRMS[counter[1]]=l; | |
4458 | counter[1]++; | |
4459 | } | |
4460 | } | |
4461 | } | |
4462 | ||
4463 | ||
4464 | //Create the X and Xerror | |
4465 | Double_t *xValues = new Double_t[nbins]; | |
4466 | Double_t *xValuesE = new Double_t[nbins]; | |
4467 | for(Int_t k = 0; k < nbins; k ++){ | |
4468 | xValues[k] = k; | |
4469 | xValuesE[k] = 0.0; | |
4470 | } | |
4471 | ||
4472 | //Create the graph erros and plot them | |
4473 | TCanvas *cprf1 = new TCanvas("cprf1","",50,50,600,800); | |
4474 | cprf1->cd(); | |
4475 | TLegend *legprf1 = new TLegend(0.4,0.6,0.89,0.89); | |
4476 | ||
4477 | TGraph *graphPRF1 = new TGraph(nbins,xValues,fCoefPRF[1]); | |
4478 | graphPRF1->SetName("coefprf1"); | |
4479 | graphPRF1->SetTitle(""); | |
4480 | graphPRF1->GetXaxis()->SetTitle("Det/Pad groups"); | |
4481 | graphPRF1->GetYaxis()->SetTitle("PRF width [p.u]"); | |
4482 | graphPRF1->SetLineColor(4); | |
4483 | graphPRF1->SetMarkerColor(4); | |
4484 | graphPRF1->SetMarkerStyle(25); | |
4485 | graphPRF1->SetMarkerSize(0.7); | |
4486 | listofgraphs->Add((TObject *)graphPRF1); | |
4487 | legprf1->AddEntry(graphPRF1,"PRF width simulated","p"); | |
4488 | graphPRF1->Draw("AP"); | |
4489 | ||
4490 | if(fFitPRFOn){ | |
4491 | TGraphErrors *graphPRF0 = new TGraphErrors(nbins,xValues,fCoefPRF[0],xValuesE,fCoefPRFE[0]); | |
4492 | graphPRF0->SetName("coefprf0"); | |
4493 | graphPRF0->SetTitle(""); | |
4494 | graphPRF0->GetXaxis()->SetTitle("Det/Pad groups"); | |
4495 | graphPRF0->GetYaxis()->SetTitle("PRF Width [p.u]"); | |
4496 | graphPRF0->SetMarkerColor(6); | |
4497 | graphPRF0->SetLineColor(6); | |
4498 | graphPRF0->SetMarkerStyle(26); | |
4499 | listofgraphs->Add((TObject *)graphPRF0); | |
4500 | legprf1->AddEntry(graphPRF0,"PRF fit","p"); | |
4501 | graphPRF0->Draw("P"); | |
4502 | } | |
4503 | if(fRMSPRFOn){ | |
4504 | TGraphErrors *graphPRF2 = new TGraphErrors(nbins,xValues,fCoefPRF[2],xValuesE,fCoefPRFE[1]); | |
4505 | graphPRF2->SetName("coefprf2"); | |
4506 | graphPRF2->SetTitle(""); | |
4507 | graphPRF2->GetXaxis()->SetTitle("Det/Pad groups"); | |
4508 | graphPRF2->GetYaxis()->SetTitle("PRF Width [p.u]"); | |
4509 | graphPRF2->SetMarkerColor(1); | |
4510 | graphPRF2->SetLineColor(1); | |
4511 | graphPRF2->SetMarkerStyle(28); | |
4512 | listofgraphs->Add((TObject *)graphPRF2); | |
4513 | legprf1->AddEntry(graphPRF2,"PRF Rms","p"); | |
4514 | graphPRF2->Draw("P"); | |
4515 | } | |
4516 | legprf1->Draw("same"); | |
4517 | ||
4518 | ||
4519 | //Create the arrays and the graphs for the delta | |
4520 | TCanvas *cprf2 = new TCanvas("cprf2","",50,50,600,800); | |
4521 | cprf2->Divide(2,1); | |
4522 | Int_t first = 0; | |
4523 | TLegend *legprf3 = new TLegend(0.4,0.6,0.89,0.89); | |
4524 | TLegend *legprf2 = new TLegend(0.4,0.6,0.89,0.89); | |
4525 | ||
4526 | if(fFitPRFOn){ | |
4527 | cprf2->cd(2); | |
4528 | Double_t *yValuesDelta = new Double_t[counter[0]]; | |
4529 | for(Int_t k = 0; k < counter[0]; k++){ | |
4530 | if(fCoefPRF[1][(Int_t)xValuesFitted[k]] > 0.0){ | |
4531 | yValuesDelta[k] = (fCoefPRF[0][(Int_t)xValuesFitted[k]]-fCoefPRF[1][(Int_t)xValuesFitted[k]]) | |
4532 | / (fCoefPRF[1][(Int_t)xValuesFitted[k]]); | |
4533 | } | |
4534 | } | |
4535 | TGraph *graphDeltaPRF0 = new TGraph(counter[0],&xValuesFitted[0],yValuesDelta); | |
4536 | graphDeltaPRF0->SetName("deltaprf0"); | |
4537 | graphDeltaPRF0->GetXaxis()->SetTitle("Det/Pad groups"); | |
4538 | graphDeltaPRF0->GetYaxis()->SetTitle("#Delta#sigma/#sigma_{sim}"); | |
4539 | graphDeltaPRF0->SetMarkerColor(6); | |
4540 | graphDeltaPRF0->SetTitle(""); | |
4541 | graphDeltaPRF0->SetLineColor(6); | |
4542 | graphDeltaPRF0->SetMarkerStyle(26); | |
4543 | listofgraphs->Add((TObject *)graphDeltaPRF0); | |
4544 | legprf3->AddEntry(graphDeltaPRF0,"#sigma_{fit}","p"); | |
4545 | graphDeltaPRF0->Draw("AP"); | |
4546 | ||
4547 | cprf2->cd(1); | |
4548 | TH1I *histoErrorPRF0 = new TH1I("errorprf10","",100 ,-0.1,0.2); | |
4549 | histoErrorPRF0->SetXTitle("#Delta#sigma/#sigma_{sim}"); | |
4550 | histoErrorPRF0->SetYTitle("counts"); | |
4551 | histoErrorPRF0->SetLineColor(6); | |
4552 | histoErrorPRF0->SetLineStyle(1); | |
4553 | histoErrorPRF0->SetStats(0); | |
4554 | Double_t maxvalue = 0.0; | |
4555 | for(Int_t k = 0; k < counter[0]; k++){ | |
4556 | histoErrorPRF0->Fill(yValuesDelta[k]); | |
4557 | if(k == 0) maxvalue = yValuesDelta[k]; | |
4558 | if(maxvalue < (TMath::Abs(yValuesDelta[k]))) maxvalue = (TMath::Abs(yValuesDelta[k])); | |
4559 | } | |
4560 | AliInfo(Form("The maximum deviation for the fit method is %f",maxvalue)); | |
4561 | legprf2->AddEntry(histoErrorPRF0,"#sigma_{fit}","l"); | |
4562 | histoErrorPRF0->Draw(); | |
4563 | listofgraphs->Add((TObject *)histoErrorPRF0); | |
4564 | first = 1; | |
4565 | } | |
4566 | ||
4567 | if(fRMSPRFOn){ | |
4568 | cprf2->cd(2); | |
4569 | Double_t *yValuesDelta = new Double_t[counter[1]]; | |
4570 | for(Int_t k = 0; k < counter[1]; k++){ | |
4571 | if(fCoefPRF[1][(Int_t)xValuesRMS[k]] > 0.0){ | |
4572 | yValuesDelta[k] = (fCoefPRF[2][(Int_t)xValuesRMS[k]]-fCoefPRF[1][(Int_t)xValuesRMS[k]]) | |
4573 | / (fCoefPRF[1][(Int_t)xValuesRMS[k]]); | |
4574 | } | |
4575 | } | |
4576 | TGraph *graphDeltaPRF2 = new TGraph(counter[1],&xValuesRMS[0],yValuesDelta); | |
4577 | graphDeltaPRF2->SetName("deltaprf2"); | |
4578 | graphDeltaPRF2->GetXaxis()->SetTitle("Det/Pad groups"); | |
4579 | graphDeltaPRF2->GetYaxis()->SetTitle("#Delta#sigma/#sigma_{sim}"); | |
4580 | graphDeltaPRF2->SetMarkerColor(1); | |
4581 | graphDeltaPRF2->SetTitle(""); | |
4582 | graphDeltaPRF2->SetLineColor(1); | |
4583 | graphDeltaPRF2->SetMarkerStyle(28); | |
4584 | listofgraphs->Add((TObject *)graphDeltaPRF2); | |
4585 | legprf3->AddEntry(graphDeltaPRF2,"#sigma_{rms}","p"); | |
4586 | if(first){ | |
4587 | graphDeltaPRF2->Draw("P"); | |
4588 | } | |
4589 | else { | |
4590 | graphDeltaPRF2->Draw("AP"); | |
4591 | } | |
4592 | ||
4593 | cprf2->cd(1); | |
4594 | TH1I *histoErrorPRF2 = new TH1I("errorprf12","",100 ,-0.1,0.2); | |
4595 | histoErrorPRF2->SetXTitle("#Delta#sigma/#sigma_{sim}"); | |
4596 | histoErrorPRF2->SetYTitle("counts"); | |
4597 | histoErrorPRF2->SetLineColor(1); | |
4598 | histoErrorPRF2->SetLineStyle(1); | |
4599 | histoErrorPRF2->SetStats(0); | |
4600 | Double_t maxvalue = 0.0; | |
4601 | for(Int_t k = 0; k < counter[1]; k++){ | |
4602 | histoErrorPRF2->Fill(yValuesDelta[k]); | |
4603 | if(k == 0) maxvalue = yValuesDelta[k]; | |
4604 | if(maxvalue < TMath::Abs(yValuesDelta[k])) maxvalue = TMath::Abs(yValuesDelta[k]); | |
4605 | } | |
4606 | AliInfo(Form("The maximum deviation for the rms is %f",maxvalue)); | |
4607 | legprf2->AddEntry(histoErrorPRF2,"#sigma_{rms}","l"); | |
4608 | if(first){ | |
4609 | histoErrorPRF2->Draw("same"); | |
4610 | } | |
4611 | else { | |
4612 | histoErrorPRF2->Draw(); | |
4613 | } | |
4614 | listofgraphs->Add((TObject *)histoErrorPRF2); | |
4615 | first = 1; | |
4616 | } | |
4617 | ||
4618 | cprf2->cd(2); | |
4619 | legprf3->Draw("same"); | |
4620 | cprf2->cd(1); | |
4621 | legprf2->Draw("same"); | |
4622 | ||
4623 | ||
4624 | //Write if wanted | |
4625 | if (fWriteCoef[2]){ | |
4626 | TFile *fout = TFile::Open(fWriteNameCoef,"UPDATE"); | |
4627 | // Check if the file could be opened | |
4628 | if (!fout || !fout->IsOpen()) { | |
4629 | AliInfo("No File found!"); | |
4630 | } | |
4631 | ||
4632 | else{ | |
4633 | for(Int_t k = 0; k < listofgraphs->GetEntriesFast(); k++){ | |
4634 | fout->WriteTObject((TObject *) listofgraphs->At(k),((TObject *)listofgraphs->At(k))->GetName() | |
4635 | ,(Option_t *) "OverWrite"); | |
4636 | } | |
4637 | } | |
4638 | fout->Close(); | |
4639 | } | |
4640 | ||
4641 | } | |
4642 | ||
4643 | // | |
4644 | //____________Plot histos DB___________________________________________________ | |
4645 | // | |
4646 | ||
4647 | //_____________________________________________________________________________ | |
4648 | void AliTRDCalibraFit::PlotCHDB() | |
4649 | { | |
4650 | // | |
4651 | // Plot the histos for fDebug = 3 and fDebug = 4 to visualise the detector | |
4652 | // | |
4653 | ||
4654 | TCanvas *cchdb = new TCanvas("cchdb","",50,50,600,800); | |
4655 | Int_t nb = 0; | |
4656 | if(fFitChargeOn) nb++; | |
4657 | if(fFitChargeBisOn) nb++; | |
4658 | if(fMeanChargeOn) nb++; | |
4659 | if(fFitMeanWOn) nb++; | |
4660 | if(nb > 0){ | |
4661 | cchdb->Divide(nb,1); | |
4662 | nb = 0; | |
4663 | if(fMeanChargeOn){ | |
4664 | cchdb->cd(nb); | |
4665 | fCoefChargeDB[1]->Draw("LEGO"); | |
4666 | nb++; | |
4667 | } | |
4668 | if(fFitChargeOn){ | |
4669 | cchdb->cd(nb); | |
4670 | fCoefChargeDB[0]->Draw("LEGO"); | |
4671 | nb++; | |
4672 | } | |
4673 | if(fFitMeanWOn){ | |
4674 | cchdb->cd(nb); | |
4675 | fCoefChargeDB[3]->Draw("LEGO"); | |
4676 | nb++; | |
4677 | } | |
4678 | if(fFitChargeBisOn){ | |
4679 | cchdb->cd(nb); | |
4680 | fCoefChargeDB[2]->Draw("LEGO"); | |
4681 | //it doesn't matter anymore but.... | |
4682 | nb++; | |
4683 | } | |
4684 | } | |
4685 | } | |
4686 | ||
4687 | //_____________________________________________________________________________ | |
4688 | void AliTRDCalibraFit::PlotPHDB() | |
4689 | { | |
4690 | // | |
4691 | // Plot the histos for fDebug = 3 and fDebug = 4 to visualise the detector | |
4692 | // | |
4693 | ||
4694 | TCanvas *cphdb = new TCanvas("cphdb","",50,50,600,800); | |
4695 | Int_t nb = 0; | |
4696 | if(fFitPol2On) nb++; | |
4697 | if(fFitPHOn) nb++; | |
4698 | if(fFitLagrPolOn) nb++; | |
4699 | if(nb > 0){ | |
4700 | cphdb->Divide(nb,1); | |
4701 | nb = 0; | |
4702 | if(fFitPHOn){ | |
4703 | cphdb->cd(nb); | |
4704 | fCoefVdriftDB[0]->Draw("LEGO"); | |
4705 | nb++; | |
4706 | } | |
4707 | if(fFitPol2On){ | |
4708 | cphdb->cd(nb); | |
4709 | fCoefVdriftDB[1]->Draw("LEGO"); | |
4710 | nb++; | |
4711 | } | |
4712 | if(fFitLagrPolOn){ | |
4713 | cphdb->cd(nb); | |
4714 | fCoefVdriftDB[2]->Draw("LEGO"); | |
4715 | nb++; | |
4716 | } | |
4717 | } | |
4718 | } | |
4719 | ||
4720 | //_____________________________________________________________________________ | |
4721 | void AliTRDCalibraFit::PlotT0DB() | |
4722 | { | |
4723 | // | |
4724 | // Plot the histos for fDebug = 3 and fDebug = 4 to visualise the detector | |
4725 | // | |
4726 | TCanvas *ct0db = new TCanvas("ct0db","",50,50,600,800); | |
4727 | Int_t nb = 0; | |
4728 | if(fFitPol2On) nb++; | |
4729 | if(fFitPHOn) nb++; | |
4730 | if(fFitLagrPolOn) nb++; | |
4731 | if(nb > 0){ | |
4732 | ct0db->Divide(nb,1); | |
4733 | nb = 0; | |
4734 | if(fFitPHOn){ | |
4735 | ct0db->cd(nb); | |
4736 | fCoefT0DB[0]->Draw("LEGO"); | |
4737 | nb++; | |
4738 | } | |
4739 | if(fFitPol2On){ | |
4740 | ct0db->cd(nb); | |
4741 | fCoefT0DB[1]->Draw("LEGO"); | |
4742 | nb++; | |
4743 | } | |
4744 | if(fFitLagrPolOn){ | |
4745 | ct0db->cd(nb); | |
4746 | fCoefT0DB[2]->Draw("LEGO"); | |
4747 | nb++; | |
4748 | } | |
4749 | } | |
4750 | } | |
4751 | ||
4752 | //_____________________________________________________________________________ | |
4753 | void AliTRDCalibraFit::PlotPRFDB() | |
4754 | { | |
4755 | // | |
4756 | // Plot the histos for fDebug = 3 and fDebug = 4 to visualise the detector | |
4757 | // | |
4758 | ||
4759 | TCanvas *cprfdb = new TCanvas("cprfdb","",50,50,600,800); | |
4760 | Int_t nb = 0; | |
4761 | if(fFitPRFOn) nb++; | |
4762 | if(fRMSPRFOn) nb++; | |
4763 | if(nb > 0){ | |
4764 | cprfdb->Divide(nb,1); | |
4765 | nb = 0; | |
4766 | if(fFitPRFOn){ | |
4767 | cprfdb->cd(nb); | |
4768 | fCoefPRFDB[0]->Draw("LEGO"); | |
4769 | nb++; | |
4770 | } | |
4771 | if(fRMSPRFOn){ | |
4772 | cprfdb->cd(nb); | |
4773 | fCoefPRFDB[1]->Draw("LEGO"); | |
4774 | nb++; | |
4775 | } | |
4776 | } | |
4777 | } | |
4778 | ||
4779 | // | |
4780 | //____________Write DB Histos__________________________________________________ | |
4781 | // | |
4782 | ||
4783 | //_____________________________________________________________________________ | |
4784 | void AliTRDCalibraFit::WriteCHDB(TFile *fout) | |
4785 | { | |
4786 | // | |
4787 | // If wanted, write the debug histos for fDebug = 3 and fDebug = 4 | |
4788 | // | |
4789 | if(fFitChargeOn){ | |
4790 | fout->WriteTObject(fCoefChargeDB[0],fCoefChargeDB[0]->GetName(),(Option_t *) "OverWrite"); | |
4791 | } | |
4792 | if(fFitMeanWOn){ | |
4793 | fout->WriteTObject(fCoefChargeDB[3],fCoefChargeDB[0]->GetName(),(Option_t *) "OverWrite"); | |
4794 | } | |
4795 | if (fMeanChargeOn) { | |
4796 | fout->WriteTObject(fCoefChargeDB[1],fCoefChargeDB[1]->GetName(),(Option_t *) "OverWrite"); | |
4797 | } | |
4798 | if (fFitChargeBisOn ) { | |
4799 | fout->WriteTObject(fCoefChargeDB[2],fCoefChargeDB[2]->GetName(),(Option_t *) "OverWrite"); | |
4800 | } | |
4801 | ||
4802 | } | |
4803 | ||
4804 | //_____________________________________________________________________________ | |
4805 | void AliTRDCalibraFit::WritePHDB(TFile *fout) | |
4806 | { | |
4807 | // | |
4808 | // If wanted, write the debug histos for fDebug = 3 and fDebug = 4 | |
4809 | // | |
4810 | ||
4811 | if (fFitPHOn) { | |
4812 | fout->WriteTObject(fCoefVdriftDB[0],fCoefVdriftDB[0]->GetName(),(Option_t *) "OverWrite"); | |
4813 | } | |
4814 | if(fFitPol2On){ | |
4815 | fout->WriteTObject(fCoefVdriftDB[1],fCoefVdriftDB[1]->GetName(),(Option_t *) "OverWrite"); | |
4816 | } | |
4817 | if(fFitLagrPolOn){ | |
4818 | fout->WriteTObject(fCoefVdriftDB[2],fCoefVdriftDB[2]->GetName(),(Option_t *) "OverWrite"); | |
4819 | } | |
4820 | ||
4821 | } | |
4822 | ||
4823 | //_____________________________________________________________________________ | |
4824 | void AliTRDCalibraFit::WriteT0DB(TFile *fout) | |
4825 | { | |
4826 | // | |
4827 | // If wanted, write the debug histos for fDebug = 3 and fDebug = 4 | |
4828 | // | |
4829 | ||
4830 | if (fFitPHOn) { | |
4831 | fout->WriteTObject(fCoefT0DB[0],fCoefT0DB[0]->GetName(),(Option_t *) "OverWrite"); | |
4832 | } | |
4833 | if(fFitPol2On){ | |
4834 | fout->WriteTObject(fCoefT0DB[1],fCoefT0DB[1]->GetName(),(Option_t *) "OverWrite"); | |
4835 | } | |
4836 | if(fFitLagrPolOn){ | |
4837 | fout->WriteTObject(fCoefT0DB[2],fCoefT0DB[2]->GetName(),(Option_t *) "OverWrite"); | |
4838 | } | |
4839 | ||
4840 | } | |
4841 | ||
4842 | //_____________________________________________________________________________ | |
4843 | void AliTRDCalibraFit::WritePRFDB(TFile *fout) | |
4844 | { | |
4845 | // | |
4846 | // If wanted, write the debug histos for fDebug = 3 and fDebug = 4 | |
4847 | // | |
4848 | if(fFitPRFOn){ | |
4849 | fout->WriteTObject(fCoefPRFDB[0],fCoefPRFDB[0]->GetName(),(Option_t *) "OverWrite"); | |
4850 | } | |
4851 | if(fRMSPRFOn){ | |
4852 | fout->WriteTObject(fCoefPRFDB[1],fCoefPRFDB[1]->GetName(),(Option_t *) "OverWrite"); | |
4853 | } | |
4854 | ||
4855 | } | |
4856 | ||
4857 | // | |
4858 | //____________Calcul Coef Mean_________________________________________________ | |
4859 | // | |
4860 | ||
4861 | //_____________________________________________________________________________ | |
4862 | Bool_t AliTRDCalibraFit::CalculT0CoefMean(Int_t dect, Int_t idect) | |
4863 | { | |
4864 | // | |
4865 | // For the detector Dect calcul the mean time 0 | |
4866 | // for the calibration group idect from the choosen database | |
4867 | // | |
4868 | ||
4869 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
4870 | if (!cal) { | |
4871 | AliInfo("Could not get calibDB Manager"); | |
4872 | return kFALSE; | |
4873 | } | |
4874 | ||
4875 | fT0Coef[2] = 0.0; | |
4876 | ||
4877 | if ((fDebug != 2) && fAccCDB) { | |
4878 | ||
4879 | for (Int_t row = fCalibraMode->GetRowMin(1); row < fCalibraMode->GetRowMax(1); row++) { | |
4880 | for (Int_t col = fCalibraMode->GetColMin(1); col < fCalibraMode->GetColMax(1); col++) { | |
4881 | // Groups of pads | |
4882 | if ((fCalibraMode->GetNz(1) > 0) || | |
4883 | (fCalibraMode->GetNrphi(1) > 0)) { | |
4884 | fT0Coef[2] += (Float_t) cal->GetT0(dect,col,row); | |
4885 | } | |
4886 | // Per detectors | |
4887 | else { | |
4888 | fT0Coef[2] += (Float_t) cal->GetT0Average(dect); | |
4889 | } | |
4890 | } | |
4891 | } | |
4892 | ||
4893 | fT0Coef[2] = fT0Coef[2] / ((fCalibraMode->GetColMax(1)-fCalibraMode->GetColMin(1)) | |
4894 | * (fCalibraMode->GetRowMax(1)-fCalibraMode->GetRowMin(1))); | |
4895 | if ((fDebug == 1) || | |
4896 | (fDebug == 4)) { | |
4897 | fCoefT0[2][idect] = fT0Coef[2]; | |
4898 | } | |
4899 | ||
4900 | } | |
4901 | ||
4902 | return kTRUE; | |
4903 | ||
4904 | } | |
4905 | ||
4906 | //_____________________________________________________________________________ | |
4907 | Bool_t AliTRDCalibraFit::CalculChargeCoefMean(Int_t dect, Int_t idect, Bool_t vrai) | |
4908 | { | |
4909 | // | |
4910 | // For the detector Dect calcul the mean gain factor | |
4911 | // for the calibration group idect from the choosen database | |
4912 | // | |
4913 | ||
4914 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
4915 | if (!cal) { | |
4916 | AliInfo("Could not get calibDB Manager"); | |
4917 | return kFALSE; | |
4918 | } | |
55a288e5 | 4919 | |
4920 | fChargeCoef[3] = 0.0; | |
4921 | ||
4922 | if (fDebug != 2) { | |
4923 | ||
4924 | for (Int_t row = fCalibraMode->GetRowMin(0); row < fCalibraMode->GetRowMax(0); row++) { | |
4925 | for (Int_t col = fCalibraMode->GetColMin(0); col < fCalibraMode->GetColMax(0); col++) { | |
4926 | // Groups of pads | |
4927 | if ((fCalibraMode->GetNz(0) > 0) || | |
4928 | (fCalibraMode->GetNrphi(0) > 0)) { | |
4929 | if (fAccCDB) { | |
4930 | fChargeCoef[3] += (Float_t) cal->GetGainFactor(dect,col,row); | |
4931 | } | |
4932 | if (vrai && fAccCDB) { | |
4933 | fScaleFitFactor += (Float_t) cal->GetGainFactor(dect,col,row); | |
4934 | } | |
4935 | if (!fAccCDB) { | |
4936 | fChargeCoef[3] += 1.0; | |
4937 | } | |
4938 | if (vrai && (!fAccCDB)) { | |
4939 | fScaleFitFactor += 1.0; | |
4940 | } | |
4941 | } | |
4942 | // Per detectors | |
4943 | else { | |
4944 | if (fAccCDB) { | |
4945 | fChargeCoef[3] += (Float_t) cal->GetGainFactorAverage(dect); | |
4946 | } | |
4947 | if (vrai && fAccCDB) { | |
4948 | fScaleFitFactor += ((Float_t) cal->GetGainFactorAverage(dect)); | |
4949 | } | |
4950 | if (!fAccCDB) { | |
4951 | fChargeCoef[3] += 1.0; | |
4952 | } | |
4953 | if (vrai && (!fAccCDB)) { | |
4954 | fScaleFitFactor += 1.0; | |
4955 | } | |
4956 | } | |
4957 | } | |
4958 | } | |
4959 | ||
4960 | fChargeCoef[3] = fChargeCoef[3] / ((fCalibraMode->GetColMax(0)-fCalibraMode->GetColMin(0)) | |
4961 | * (fCalibraMode->GetRowMax(0)-fCalibraMode->GetRowMin(0))); | |
4962 | if ((fDebug == 1) || | |
4963 | (fDebug == 4)) { | |
4964 | fCoefCharge[3][idect]=fChargeCoef[3]; | |
4965 | } | |
4966 | ||
4967 | } | |
4968 | ||
4969 | return kTRUE; | |
4970 | ||
4971 | } | |
4972 | ||
4973 | //_____________________________________________________________________________ | |
4974 | Bool_t AliTRDCalibraFit::CalculPRFCoefMean(Int_t dect, Int_t idect) | |
4975 | { | |
4976 | // | |
4977 | // For the detector Dect calcul the mean sigma of pad response | |
4978 | // function for the calibration group idect from the choosen database | |
4979 | // | |
4980 | ||
4981 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
4982 | if (!cal) { | |
4983 | AliInfo("Could not get calibDB Manager"); | |
4984 | return kFALSE; | |
4985 | } | |
4986 | ||
55a288e5 | 4987 | fPRFCoef[1] = 0.0; |
4988 | Int_t cot = 0; | |
4989 | ||
4990 | if (fDebug != 2) { | |
4991 | ||
4992 | for (Int_t row = fCalibraMode->GetRowMin(2); row < fCalibraMode->GetRowMax(2); row++) { | |
4993 | for (Int_t col = fCalibraMode->GetColMin(2); col < fCalibraMode->GetColMax(2); col++) { | |
f162af62 | 4994 | if ((fGeo->GetColMax(GetPlane(dect)) != (col+1)) && (col != 0)) { |
55a288e5 | 4995 | cot++; |
4996 | if (fAccCDB) { | |
4997 | fPRFCoef[1] += (Float_t) cal->GetPRFWidth(dect,col,row); | |
4998 | } | |
4999 | if (!fAccCDB) { | |
5000 | fPRFCoef[1] += GetPRFDefault(GetPlane(dect)); | |
5001 | } | |
5002 | } | |
5003 | } | |
5004 | } | |
5005 | ||
5006 | if (cot > 0) { | |
5007 | fPRFCoef[1] = fPRFCoef[1]/cot; | |
5008 | if ((fDebug == 1) || | |
5009 | (fDebug == 4)) { | |
5010 | fCoefPRF[1][idect] = fPRFCoef[1]; | |
5011 | } | |
5012 | } | |
5013 | if (cot <= 0) { | |
5014 | if ((fDebug == 1) || | |
5015 | (fDebug == 4)) { | |
5016 | if (fAccCDB) { | |
5017 | fCoefPRF[1][idect] = cal->GetPRFWidth(dect,fCalibraMode->GetColMin(2),fCalibraMode->GetRowMin(2)); | |
5018 | } | |
5019 | if (!fAccCDB) { | |
5020 | fCoefPRF[1][idect] = GetPRFDefault(GetPlane(dect)); | |
5021 | } | |
5022 | } | |
5023 | } | |
5024 | ||
5025 | } | |
5026 | ||
5027 | return kTRUE; | |
5028 | ||
5029 | } | |
5030 | ||
5031 | //_____________________________________________________________________________ | |
5032 | Bool_t AliTRDCalibraFit::CalculVdriftCoefMean(Int_t dect, Int_t idect) | |
5033 | { | |
5034 | // | |
5035 | // For the detector dect calcul the mean drift velocity for the | |
5036 | // calibration group idect from the choosen database | |
5037 | // | |
5038 | ||
5039 | AliTRDcalibDB *cal = AliTRDcalibDB::Instance(); | |
5040 | if (!cal) { | |
5041 | AliInfo("Could not get calibDB Manager"); | |
5042 | return kFALSE; | |
5043 | } | |
5044 | ||
5045 | fVdriftCoef[2] = 0.0; | |
5046 | ||
5047 | if (fDebug != 2) { | |
5048 | for (Int_t row = fCalibraMode->GetRowMin(1); row < fCalibraMode->GetRowMax(1); row++) { | |
5049 | for (Int_t col = fCalibraMode->GetColMin(1); col < fCalibraMode->GetColMax(1); col++) { | |
5050 | // Groups of pads | |
5051 | if ((fCalibraMode->GetNz(1) > 0) || | |
5052 | (fCalibraMode->GetNrphi(1) > 0)) { | |
5053 | if (fAccCDB) { | |
5054 | fVdriftCoef[2] += (Float_t) cal->GetVdrift(dect,col,row); | |
5055 | } | |
5056 | if (!fAccCDB) { | |
5057 | fVdriftCoef[2] += 1.5; | |
5058 | } | |
5059 | } | |
5060 | // Per detectors | |
5061 | else { | |
5062 | if (fAccCDB) { | |
5063 | fVdriftCoef[2] += (Float_t) cal->GetVdriftAverage(dect); | |
5064 | } | |
5065 | if (!fAccCDB) { | |
5066 | fVdriftCoef[2] += 1.5; | |
5067 | } | |
5068 | } | |
5069 | } | |
5070 | } | |
5071 | fVdriftCoef[2] = fVdriftCoef[2] / ((fCalibraMode->GetColMax(1)-fCalibraMode->GetColMin(1)) | |
5072 | * (fCalibraMode->GetRowMax(1)-fCalibraMode->GetRowMin(1))); | |
5073 | if ((fDebug == 1) || | |
5074 | (fDebug == 4)) { | |
5075 | fCoefVdrift[2][idect] = fVdriftCoef[2]; | |
5076 | } | |
5077 | } | |
5078 | ||
5079 | return kTRUE; | |
5080 | ||
5081 | } | |
5082 | ||
5083 | //_____________________________________________________________________________ | |
5084 | Float_t AliTRDCalibraFit::GetPRFDefault(Int_t plane) const | |
5085 | { | |
5086 | // | |
5087 | // Default width of the PRF if there is no database as reference | |
5088 | // | |
5089 | ||
5090 | if (plane == 0) { | |
5091 | return 0.515; | |
5092 | } | |
5093 | if (plane == 1) { | |
5094 | return 0.502; | |
5095 | } | |
5096 | if (plane == 2) { | |
5097 | return 0.491; | |
5098 | } | |
5099 | if (plane == 3) { | |
5100 | return 0.481; | |
5101 | } | |
5102 | if (plane == 4) { | |
5103 | return 0.471; | |
5104 | } | |
5105 | if (plane == 5) { | |
5106 | return 0.463; | |
5107 | } | |
5108 | else { | |
5109 | return 0.0; | |
5110 | } | |
5111 | ||
5112 | } | |
5113 | ||
5114 | //____________Fit Methods______________________________________________________ | |
5115 | ||
5116 | //_____________________________________________________________________________ | |
5117 | void AliTRDCalibraFit::FitPente(TH1* projPH, Int_t idect) | |
5118 | { | |
5119 | // | |
5120 | // Slope methode for the drift velocity | |
5121 | // | |
5122 | ||
5123 | // Constants | |
5124 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
5125 | Int_t binmax = 0; | |
5126 | Int_t binmin = 0; | |
5127 | fPhd[0] = 0.0; | |
5128 | fPhd[1] = 0.0; | |
5129 | fPhd[2] = 0.0; | |
5130 | Int_t ju = 0; | |
5131 | Double_t vdriftCoefE = 0.0; | |
5132 | Double_t t0CoefE = 0.0; | |
5133 | fVdriftCoef[1] = 0.0; | |
5134 | fT0Coef[1] = 0.0; | |
5135 | TLine *line = new TLine(); | |
5136 | ||
5137 | // Some variables | |
5138 | TAxis *xpph = projPH->GetXaxis(); | |
5139 | Int_t nbins = xpph->GetNbins(); | |
5140 | Double_t lowedge = xpph->GetBinLowEdge(1); | |
5141 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
5142 | Double_t widbins = (upedge - lowedge) / nbins; | |
5143 | Double_t limit = upedge + 0.5 * widbins; | |
5144 | Bool_t put = kTRUE; | |
5145 | ||
5146 | // Beginning of the signal | |
5147 | TH1D *pentea = new TH1D("pentea","pentea",projPH->GetNbinsX(),0,(Float_t) limit); | |
5148 | for (Int_t k = 1; k < projPH->GetNbinsX(); k++) { | |
5149 | pentea->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
5150 | } | |
5151 | ||
5152 | binmax = (Int_t) pentea->GetMaximumBin(); | |
5153 | if(fDebug == 2) AliInfo(Form("maximum positive bin for the positive slope %d",binmax)); | |
5154 | if (binmax <= 1) { | |
5155 | binmax = 2; | |
5156 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
5157 | } | |
5158 | if (binmax >= nbins) { | |
5159 | binmax = nbins-1; | |
5160 | put = kFALSE; | |
5161 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
5162 | } | |
5163 | pentea->Fit("pol2","0MR","",TMath::Max(pentea->GetBinCenter(binmax-1),0.0),pentea->GetBinCenter(binmax+1)); | |
5164 | Float_t l3P1am = pentea->GetFunction("pol2")->GetParameter(1); | |
5165 | Float_t l3P2am = pentea->GetFunction("pol2")->GetParameter(2); | |
5166 | Float_t l3P1amE = pentea->GetFunction("pol2")->GetParError(1); | |
5167 | Float_t l3P2amE = pentea->GetFunction("pol2")->GetParError(2); | |
5168 | if (l3P2am != 0) { | |
5169 | fPhd[0] = -(l3P1am / (2 * l3P2am)); | |
5170 | } | |
5171 | if(!fTakeTheMaxPH){ | |
5172 | if((l3P1am != 0.0) && (l3P2am != 0.0)){ | |
5173 | t0CoefE = (l3P1amE/l3P1am + l3P2amE/l3P2am)*fPhd[0]; | |
5174 | } | |
5175 | } | |
5176 | if(fDebug == 2) AliInfo(Form("maximum extrapolated positive bin for the positive slope %f",fPhd[0])); | |
5177 | ||
5178 | // Amplification region | |
5179 | binmax = 0; | |
5180 | ju = 0; | |
5181 | for (Int_t kbin = 1; kbin < projPH->GetNbinsX(); kbin ++) { | |
5182 | if (((projPH->GetBinContent(kbin+1) - projPH->GetBinContent(kbin)) <= 0.0) && | |
5183 | (ju == 0) && | |
5184 | (kbin > (fPhd[0]/widbins))) { | |
5185 | binmax = kbin; | |
5186 | ju = 1; | |
5187 | } | |
5188 | } | |
5189 | if(fDebug == 2) AliInfo(Form("For the amplification region binmax %d",binmax)); | |
5190 | if (binmax <= 1) { | |
5191 | binmax = 2; | |
5192 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
5193 | } | |
5194 | if (binmax >= nbins) { | |
5195 | binmax = nbins-1; | |
5196 | put = kFALSE; | |
5197 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
5198 | } | |
5199 | projPH->Fit("pol2","0MR","",TMath::Max(projPH->GetBinCenter(binmax-1),0.0),projPH->GetBinCenter(binmax+1)); | |
5200 | Float_t l3P1amf = projPH->GetFunction("pol2")->GetParameter(1); | |
5201 | Float_t l3P2amf = projPH->GetFunction("pol2")->GetParameter(2); | |
5202 | Float_t l3P1amfE = projPH->GetFunction("pol2")->GetParError(1); | |
5203 | Float_t l3P2amfE = projPH->GetFunction("pol2")->GetParError(2); | |
5204 | ||
5205 | if (l3P2amf != 0) { | |
5206 | fPhd[1] = -(l3P1amf / (2 * l3P2amf)); | |
5207 | } | |
5208 | if((l3P1amf != 0.0) && (l3P2amf != 0.0)){ | |
5209 | vdriftCoefE = (l3P1amfE/l3P1amf + l3P2amfE/l3P2amf)*fPhd[1]; | |
5210 | } | |
5211 | if(fTakeTheMaxPH){ | |
5212 | t0CoefE = vdriftCoefE; | |
5213 | } | |
5214 | if(fDebug == 2) AliInfo(Form("For the amplification region extrapolated binmax %f",fPhd[1])); | |
5215 | ||
5216 | // Drift region | |
5217 | TH1D *pente = new TH1D("pente","pente",projPH->GetNbinsX(),0,(Float_t) limit); | |
5218 | for (Int_t k = TMath::Min(binmax+4,projPH->GetNbinsX()); k < projPH->GetNbinsX(); k++) { | |
5219 | pente->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
5220 | } | |
5221 | binmin = 0; | |
5222 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
5223 | if (binmin <= 1) { | |
5224 | binmin = 2; | |
5225 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
5226 | } | |
5227 | if (binmin >= nbins) { | |
5228 | binmin = nbins-1; | |
5229 | put = kFALSE; | |
5230 | AliInfo("Put the binmax from nbins-1 to nbins-2 to enable the fit"); | |
5231 | } | |
5232 | if(fDebug == 2) AliInfo(Form("For the drift region binmin %d",binmin)); | |
5233 | pente->Fit("pol2" | |
5234 | ,"0MR" | |
5235 | ,"" | |
5236 | ,TMath::Max(pente->GetBinCenter(binmin-1), 0.0) | |
5237 | ,TMath::Min(pente->GetBinCenter(binmin+1),(Double_t) limit)); | |
5238 | Float_t l3P1dr = pente->GetFunction("pol2")->GetParameter(1); | |
5239 | Float_t l3P2dr = pente->GetFunction("pol2")->GetParameter(2); | |
5240 | Float_t l3P1drE = pente->GetFunction("pol2")->GetParError(1); | |
5241 | Float_t l3P2drE = pente->GetFunction("pol2")->GetParError(2); | |
5242 | if (l3P2dr != 0) { | |
5243 | fPhd[2] = -(l3P1dr / (2 * l3P2dr)); | |
5244 | } | |
5245 | if((l3P1dr != 0.0) && (l3P2dr != 0.0)){ | |
5246 | vdriftCoefE += (l3P1drE/l3P1dr + l3P2drE/l3P2dr)*fPhd[2]; | |
5247 | } | |
5248 | if(fDebug == 2) AliInfo(Form("For the drift region extrapolated binmax %f",fPhd[2])); | |
5249 | ||
5250 | Float_t fPhdt0 = 0.0; | |
5251 | if(fTakeTheMaxPH) fPhdt0 = fPhd[1]; | |
5252 | else fPhdt0 = fPhd[0]; | |
5253 | ||
5254 | if ((fPhd[2] > fPhd[0]) && | |
5255 | (fPhd[2] > fPhd[1]) && | |
5256 | (fPhd[1] > fPhd[0]) && | |
5257 | (put)) { | |
5258 | fVdriftCoef[1] = (kDrWidth) / (fPhd[2]-fPhd[1]); | |
5259 | if(fFitPHNDB == 1) fNumberFitSuccess++; | |
5260 | if (fPhdt0 >= 0.0) { | |
5261 | fT0Coef[1] = (fPhdt0 - fT0Shift) / widbins; | |
5262 | if (fT0Coef[1] < -1.0) { | |
5263 | fT0Coef[1] = fT0Coef[2]; | |
5264 | } | |
5265 | } | |
5266 | else { | |
5267 | fT0Coef[1] = fT0Coef[2]; | |
5268 | } | |
5269 | } | |
5270 | else { | |
5271 | fVdriftCoef[1] = -TMath::Abs(fVdriftCoef[2]); | |
5272 | fT0Coef[1] = fT0Coef[2]; | |
5273 | } | |
5274 | ||
5275 | if ((fDebug == 1) || | |
5276 | (fDebug == 4)) { | |
5277 | fCoefVdrift[1][idect] = fVdriftCoef[1]; | |
5278 | fCoefVdriftE[1] [idect] = vdriftCoefE; | |
5279 | fCoefT0[1][idect] = fT0Coef[1]; | |
5280 | fCoefT0E[1][idect] = t0CoefE; | |
5281 | } | |
5282 | ||
5283 | if (fDebug == 2) { | |
5284 | TCanvas *cpentei = new TCanvas("cpentei","cpentei",50,50,600,800); | |
5285 | cpentei->cd(); | |
5286 | projPH->Draw(); | |
5287 | line->SetLineColor(2); | |
5288 | line->DrawLine(fPhd[0],0,fPhd[0],projPH->GetMaximum()); | |
5289 | line->DrawLine(fPhd[1],0,fPhd[1],projPH->GetMaximum()); | |
5290 | line->DrawLine(fPhd[2],0,fPhd[2],projPH->GetMaximum()); | |
5291 | AliInfo(Form("fPhd[0] (beginning of the signal): %f" ,(Float_t) fPhd[0])); | |
5292 | AliInfo(Form("fPhd[1] (end of the amplification region): %f" ,(Float_t) fPhd[1])); | |
5293 | AliInfo(Form("fPhd[2] (end of the drift region): %f" ,(Float_t) fPhd[2])); | |
5294 | AliInfo(Form("fVriftCoef[1] (with only the drift region(default)): %f",(Float_t) fVdriftCoef[1])); | |
5295 | TCanvas *cpentei2 = new TCanvas("cpentei2","cpentei2",50,50,600,800); | |
5296 | cpentei2->cd(); | |
5297 | pentea->Draw(); | |
5298 | TCanvas *cpentei3 = new TCanvas("cpentei3","cpentei3",50,50,600,800); | |
5299 | cpentei3->cd(); | |
5300 | pente->Draw(); | |
5301 | } | |
5302 | ||
5303 | if (fDebug != 2) { | |
5304 | delete pentea; | |
5305 | } | |
5306 | if (fDebug != 2) { | |
5307 | delete pente; | |
5308 | } | |
5309 | ||
5310 | } | |
5311 | ||
5312 | //_____________________________________________________________________________ | |
5313 | void AliTRDCalibraFit::FitLagrangePoly(TH1* projPH, Int_t idect) | |
5314 | { | |
5315 | // | |
5316 | // Slope methode but with polynomes de Lagrange | |
5317 | // | |
5318 | ||
5319 | // Constants | |
5320 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
5321 | Int_t binmax = 0; | |
5322 | Int_t binmin = 0; | |
5323 | Double_t *x = new Double_t[5]; | |
5324 | Double_t *y = new Double_t[5]; | |
5325 | x[0] = 0.0; | |
5326 | x[1] = 0.0; | |
5327 | x[2] = 0.0; | |
5328 | x[3] = 0.0; | |
5329 | x[4] = 0.0; | |
5330 | y[0] = 0.0; | |
5331 | y[1] = 0.0; | |
5332 | y[2] = 0.0; | |
5333 | y[3] = 0.0; | |
5334 | y[4] = 0.0; | |
5335 | fPhd[0] = 0.0; | |
5336 | fPhd[1] = 0.0; | |
5337 | fPhd[2] = 0.0; | |
5338 | Int_t ju = 0; | |
5339 | Double_t vdriftCoefE = 0.0; | |
5340 | Double_t t0CoefE = 1.0; | |
5341 | fVdriftCoef[3] = 0.0; | |
5342 | fT0Coef[3] = 0.0; | |
5343 | TLine *line = new TLine(); | |
5344 | TF1 * polynome = 0x0; | |
5345 | TF1 * polynomea = 0x0; | |
5346 | TF1 * polynomeb = 0x0; | |
5347 | Double_t *c = 0x0; | |
5348 | ||
5349 | // Some variables | |
5350 | TAxis *xpph = projPH->GetXaxis(); | |
5351 | Int_t nbins = xpph->GetNbins(); | |
5352 | Double_t lowedge = xpph->GetBinLowEdge(1); | |
5353 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
5354 | Double_t widbins = (upedge - lowedge) / nbins; | |
5355 | Double_t limit = upedge + 0.5 * widbins; | |
5356 | ||
5357 | ||
5358 | Bool_t put = kTRUE; | |
5359 | ||
5360 | // Beginning of the signal | |
5361 | TH1D *pentea = new TH1D("pentea","pentea",projPH->GetNbinsX(),0,(Float_t) limit); | |
5362 | for (Int_t k = 1; k < projPH->GetNbinsX(); k++) { | |
5363 | pentea->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
5364 | } | |
5365 | ||
5366 | binmax = (Int_t) pentea->GetMaximumBin(); | |
5367 | if(fDebug == 2) AliInfo(Form("maximum positive bin for the positive slope %d",binmax)); | |
5368 | ||
5369 | ||
5370 | Double_t minnn = 0.0; | |
5371 | Double_t maxxx = 0.0; | |
5372 | ||
5373 | //Determination of minnn and maxxx | |
5374 | //case binmax = nbins -1 | |
5375 | //pol2 | |
5376 | if(binmax == (nbins-1)){ | |
5377 | minnn = pentea->GetBinCenter(binmax-2); | |
5378 | maxxx = pentea->GetBinCenter(binmax); | |
5379 | x[0] = pentea->GetBinCenter(binmax-2); | |
5380 | x[1] = pentea->GetBinCenter(binmax-1); | |
5381 | x[2] = pentea->GetBinCenter(binmax); | |
5382 | y[0] = pentea->GetBinContent(binmax-2); | |
5383 | y[1] = pentea->GetBinContent(binmax-1); | |
5384 | y[2] = pentea->GetBinContent(binmax); | |
5385 | //Calcul the polynome de Lagrange | |
5386 | c = CalculPolynomeLagrange2(x,y); | |
5387 | AliInfo("At the limit for beginning!"); | |
5388 | } | |
5389 | //case binmax = nbins-2 | |
5390 | //pol3 | |
5391 | if(binmax == (nbins-2)){ | |
5392 | minnn = pentea->GetBinCenter(binmax-2); | |
5393 | maxxx = pentea->GetBinCenter(binmax+1); | |
5394 | x[0] = pentea->GetBinCenter(binmax-2); | |
5395 | x[1] = pentea->GetBinCenter(binmax-1); | |
5396 | x[2] = pentea->GetBinCenter(binmax); | |
5397 | x[3] = pentea->GetBinCenter(binmax+1); | |
5398 | y[0] = pentea->GetBinContent(binmax-2); | |
5399 | y[1] = pentea->GetBinContent(binmax-1); | |
5400 | y[2] = pentea->GetBinContent(binmax); | |
5401 | y[3] = pentea->GetBinContent(binmax+1); | |
5402 | //Calcul the polynome de Lagrange | |
5403 | c = CalculPolynomeLagrange3(x,y); | |
5404 | } | |
5405 | //case binmax <= nbins-3 | |
5406 | //pol4 | |
5407 | if(binmax <= (nbins-3)){ | |
5408 | if((binmax-2) >= 1){ | |
5409 | minnn = pentea->GetBinCenter(binmax-2); | |
5410 | maxxx = pentea->GetBinCenter(binmax+2); | |
5411 | x[0] = pentea->GetBinCenter(binmax-2); | |
5412 | x[1] = pentea->GetBinCenter(binmax-1); | |
5413 | x[2] = pentea->GetBinCenter(binmax); | |
5414 | x[3] = pentea->GetBinCenter(binmax+1); | |
5415 | x[4] = pentea->GetBinCenter(binmax+2); | |
5416 | y[0] = pentea->GetBinContent(binmax-2); | |
5417 | y[1] = pentea->GetBinContent(binmax-1); | |
5418 | y[2] = pentea->GetBinContent(binmax); | |
5419 | y[3] = pentea->GetBinContent(binmax+1); | |
5420 | y[4] = pentea->GetBinContent(binmax+2); | |
5421 | //Calcul the polynome de Lagrange | |
5422 | c = CalculPolynomeLagrange4(x,y); | |
5423 | } | |
5424 | //pol3 | |
5425 | if((binmax-1) == 1){ | |
5426 | minnn = pentea->GetBinCenter(binmax-1); | |
5427 | maxxx = pentea->GetBinCenter(binmax+2); | |
5428 | x[0] = pentea->GetBinCenter(binmax-1); | |
5429 | x[1] = pentea->GetBinCenter(binmax); | |
5430 | x[2] = pentea->GetBinCenter(binmax+1); | |
5431 | x[3] = pentea->GetBinCenter(binmax+2); | |
5432 | y[0] = pentea->GetBinContent(binmax-1); | |
5433 | y[1] = pentea->GetBinContent(binmax); | |
5434 | y[2] = pentea->GetBinContent(binmax+1); | |
5435 | y[3] = pentea->GetBinContent(binmax+2); | |
5436 | //Calcul the polynome de Lagrange | |
5437 | c = CalculPolynomeLagrange3(x,y); | |
5438 | } | |
5439 | //pol2 | |
5440 | if(binmax == 1){ | |
5441 | minnn = pentea->GetBinCenter(binmax); | |
5442 | maxxx = pentea->GetBinCenter(binmax+2); | |
5443 | x[0] = pentea->GetBinCenter(binmax); | |
5444 | x[1] = pentea->GetBinCenter(binmax+1); | |
5445 | x[2] = pentea->GetBinCenter(binmax+2); | |
5446 | y[0] = pentea->GetBinContent(binmax); | |
5447 | y[1] = pentea->GetBinContent(binmax+1); | |
5448 | y[2] = pentea->GetBinContent(binmax+2); | |
5449 | //Calcul the polynome de Lagrange | |
5450 | c = CalculPolynomeLagrange2(x,y); | |
5451 | } | |
5452 | } | |
5453 | //pass but should not happen | |
5454 | if((binmax <= (nbins-3)) && (binmax < 1)){ | |
5455 | put = kFALSE; | |
5456 | } | |
5457 | ||
5458 | if(fDebug == 2) AliInfo(Form("For the beginning region binmax %d",binmax)); | |
5459 | ||
5460 | if(put) { | |
5461 | polynomeb = new TF1("polb","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",minnn,maxxx); | |
5462 | polynomeb->SetParameters(c[0],c[1],c[2],c[3],c[4]); | |
5463 | if(fDebug == 2) { | |
5464 | AliInfo(Form("for the beginning: c[0] %f, c[1] %f, c[2] %f, c[3] %f, c[4] %f",c[0],c[1],c[2],c[3],c[4])); | |
5465 | } | |
5466 | ||
5467 | Double_t step = (maxxx-minnn)/10000; | |
5468 | Double_t l = minnn; | |
5469 | Double_t maxvalue = 0.0; | |
5470 | Double_t placemaximum = minnn; | |
5471 | for(Int_t o = 0; o < 10000; o++){ | |
5472 | if(o == 0) maxvalue = polynomeb->Eval(l); | |
5473 | if(maxvalue < (polynomeb->Eval(l))){ | |
5474 | maxvalue = polynomeb->Eval(l); | |
5475 | placemaximum = l; | |
5476 | } | |
5477 | l += step; | |
5478 | } | |
5479 | fPhd[0] = placemaximum; | |
5480 | } | |
5481 | ||
5482 | if(fDebug == 2) AliInfo(Form("maximum extrapolated positive bin for the positive slope %f",fPhd[0])); | |
5483 | ||
5484 | // Amplification region | |
5485 | binmax = 0; | |
5486 | ju = 0; | |
5487 | for (Int_t kbin = 1; kbin < projPH->GetNbinsX(); kbin ++) { | |
5488 | if (((projPH->GetBinContent(kbin+1) - projPH->GetBinContent(kbin)) <= 0.0) && | |
5489 | (ju == 0) && | |
5490 | (kbin > (fPhd[0]/widbins))) { | |
5491 | binmax = kbin; | |
5492 | ju = 1; | |
5493 | } | |
5494 | } | |
5495 | if(fDebug == 2) AliInfo(Form("For the amplification region binmax %d",binmax)); | |
5496 | ||
5497 | Double_t minn = 0.0; | |
5498 | Double_t maxx = 0.0; | |
5499 | ||
5500 | //Determination of minn and maxx | |
5501 | //case binmax = nbins | |
5502 | //pol2 | |
5503 | if(binmax == nbins){ | |
5504 | minn = projPH->GetBinCenter(binmax-2); | |
5505 | maxx = projPH->GetBinCenter(binmax); | |
5506 | x[0] = projPH->GetBinCenter(binmax-2); | |
5507 | x[1] = projPH->GetBinCenter(binmax-1); | |
5508 | x[2] = projPH->GetBinCenter(binmax); | |
5509 | y[0] = projPH->GetBinContent(binmax-2); | |
5510 | y[1] = projPH->GetBinContent(binmax-1); | |
5511 | y[2] = projPH->GetBinContent(binmax); | |
5512 | //Calcul the polynome de Lagrange | |
5513 | c = CalculPolynomeLagrange2(x,y); | |
5514 | AliInfo("At the limit for the drift!"); | |
5515 | } | |
5516 | //case binmax = nbins-1 | |
5517 | //pol3 | |
5518 | if(binmax == (nbins-1)){ | |
5519 | minn = projPH->GetBinCenter(binmax-2); | |
5520 | maxx = projPH->GetBinCenter(binmax+1); | |
5521 | x[0] = projPH->GetBinCenter(binmax-2); | |
5522 | x[1] = projPH->GetBinCenter(binmax-1); | |
5523 | x[2] = projPH->GetBinCenter(binmax); | |
5524 | x[3] = projPH->GetBinCenter(binmax+1); | |
5525 | y[0] = projPH->GetBinContent(binmax-2); | |
5526 | y[1] = projPH->GetBinContent(binmax-1); | |
5527 | y[2] = projPH->GetBinContent(binmax); | |
5528 | y[3] = projPH->GetBinContent(binmax+1); | |
5529 | //Calcul the polynome de Lagrange | |
5530 | c = CalculPolynomeLagrange3(x,y); | |
5531 | } | |
5532 | //case binmax <= nbins-2 | |
5533 | //pol4 | |
5534 | if(binmax <= (nbins-2)){ | |
5535 | if((binmax-2) >= 1){ | |
5536 | minn = projPH->GetBinCenter(binmax-2); | |
5537 | maxx = projPH->GetBinCenter(binmax+2); | |
5538 | x[0] = projPH->GetBinCenter(binmax-2); | |
5539 | x[1] = projPH->GetBinCenter(binmax-1); | |
5540 | x[2] = projPH->GetBinCenter(binmax); | |
5541 | x[3] = projPH->GetBinCenter(binmax+1); | |
5542 | x[4] = projPH->GetBinCenter(binmax+2); | |
5543 | y[0] = projPH->GetBinContent(binmax-2); | |
5544 | y[1] = projPH->GetBinContent(binmax-1); | |
5545 | y[2] = projPH->GetBinContent(binmax); | |
5546 | y[3] = projPH->GetBinContent(binmax+1); | |
5547 | y[4] = projPH->GetBinContent(binmax+2); | |
5548 | //Calcul the polynome de Lagrange | |
5549 | c = CalculPolynomeLagrange4(x,y); | |
5550 | } | |
5551 | //pol3 | |
5552 | if((binmax-1) == 1){ | |
5553 | minn = projPH->GetBinCenter(binmax-1); | |
5554 | maxx = projPH->GetBinCenter(binmax+2); | |
5555 | x[0] = projPH->GetBinCenter(binmax-1); | |
5556 | x[1] = projPH->GetBinCenter(binmax); | |
5557 | x[2] = projPH->GetBinCenter(binmax+1); | |
5558 | x[3] = projPH->GetBinCenter(binmax+2); | |
5559 | y[0] = projPH->GetBinContent(binmax-1); | |
5560 | y[1] = projPH->GetBinContent(binmax); | |
5561 | y[2] = projPH->GetBinContent(binmax+1); | |
5562 | y[3] = projPH->GetBinContent(binmax+2); | |
5563 | //Calcul the polynome de Lagrange | |
5564 | c = CalculPolynomeLagrange3(x,y); | |
5565 | } | |
5566 | //pol2 | |
5567 | if(binmax == 1){ | |
5568 | minn = projPH->GetBinCenter(binmax); | |
5569 | maxx = projPH->GetBinCenter(binmax+2); | |
5570 | x[0] = projPH->GetBinCenter(binmax); | |
5571 | x[1] = projPH->GetBinCenter(binmax+1); | |
5572 | x[2] = projPH->GetBinCenter(binmax+2); | |
5573 | y[0] = projPH->GetBinContent(binmax); | |
5574 | y[1] = projPH->GetBinContent(binmax+1); | |
5575 | y[2] = projPH->GetBinContent(binmax+2); | |
5576 | //Calcul the polynome de Lagrange | |
5577 | c = CalculPolynomeLagrange2(x,y); | |
5578 | } | |
5579 | } | |
5580 | //pass but should not happen | |
5581 | if((binmax <= (nbins-2)) && (binmax < 1)){ | |
5582 | put = kFALSE; | |
5583 | } | |
5584 | ||
5585 | if(fDebug == 2) AliInfo(Form("For the amplification region binmax %d",binmax)); | |
5586 | ||
5587 | if(put) { | |
5588 | polynomea = new TF1("pola","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",minn,maxx); | |
5589 | polynomea->SetParameters(c[0],c[1],c[2],c[3],c[4]); | |
5590 | if(fDebug == 2) { | |
5591 | AliInfo(Form("for the amplification: c[0] %f, c[1] %f, c[2] %f, c[3] %f, c[4] %f",c[0],c[1],c[2],c[3],c[4])); | |
5592 | } | |
5593 | ||
5594 | Double_t step = (maxx-minn)/1000; | |
5595 | Double_t l = minn; | |
5596 | Double_t maxvalue = 0.0; | |
5597 | Double_t placemaximum = minn; | |
5598 | for(Int_t o = 0; o < 1000; o++){ | |
5599 | if(o == 0) maxvalue = polynomea->Eval(l); | |
5600 | if(maxvalue < (polynomea->Eval(l))){ | |
5601 | maxvalue = polynomea->Eval(l); | |
5602 | placemaximum = l; | |
5603 | } | |
5604 | l += step; | |
5605 | } | |
5606 | fPhd[1] = placemaximum; | |
5607 | } | |
5608 | ||
5609 | if(fDebug == 2) AliInfo(Form("For the amplification region extrapolated binmax %f",fPhd[1])); | |
5610 | ||
5611 | // Drift region | |
5612 | TH1D *pente = new TH1D("pente","pente", projPH->GetNbinsX(),0,(Float_t) limit); | |
5613 | for (Int_t k = TMath::Min(binmax+4, projPH->GetNbinsX()); k < projPH->GetNbinsX(); k++) { | |
5614 | pente->SetBinContent(k,(Double_t) (projPH->GetBinContent(k+1) - projPH->GetBinContent(k))); | |
5615 | } | |
5616 | binmin = 0; | |
5617 | if(pente->GetEntries() > 0) binmin = (Int_t) pente->GetMinimumBin(); | |
5618 | ||
5619 | //should not happen | |
5620 | if (binmin <= 1) { | |
5621 | binmin = 2; | |
5622 | put = 1; | |
5623 | AliInfo("Put the binmax from 1 to 2 to enable the fit"); | |
5624 | } | |
5625 | ||
5626 | //check | |
5627 | if((projPH->GetBinContent(binmin)-projPH->GetBinError(binmin)) < (projPH->GetBinContent(binmin+1))) put = kFALSE; | |
5628 | if((projPH->GetBinContent(binmin)+projPH->GetBinError(binmin)) > (projPH->GetBinContent(binmin-1))) put = kFALSE; | |
5629 | ||
5630 | if(fDebug == 2) { | |
5631 | AliInfo(Form("binmin %d BinContent %f BinError %f",binmin | |
5632 | ,projPH->GetBinContent(binmin) | |
5633 | ,projPH->GetBinError(binmin))); | |
5634 | AliInfo(Form("binmin-1 %d BinContent %f BinError %f",binmin-1 | |
5635 | ,projPH->GetBinContent(binmin-1) | |
5636 | ,projPH->GetBinError(binmin-1))); | |
5637 | AliInfo(Form("binmin+1 %d BinContent %f BinError %f",binmin+1 | |
5638 | ,projPH->GetBinContent(binmin+1) | |
5639 | ,projPH->GetBinError(binmin+1))); | |
5640 | } | |
5641 | ||
5642 | Double_t min = 0.0; | |
5643 | Double_t max = 0.0; | |
5644 | Bool_t case1 = kFALSE; | |
5645 | Bool_t case2 = kFALSE; | |
5646 | Bool_t case4 = kFALSE; | |
5647 | ||
5648 | //Determination of min and max | |
5649 | //case binmin <= nbins-3 | |
5650 | //pol4 case 3 | |
5651 | if((binmin <= (nbins-3)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
5652 | min = pente->GetBinCenter(binmin-2); | |
5653 | max = pente->GetBinCenter(binmin+2); | |
5654 | x[0] = pente->GetBinCenter(binmin-2); | |
5655 | x[1] = pente->GetBinCenter(binmin-1); | |
5656 | x[2] = pente->GetBinCenter(binmin); | |
5657 | x[3] = pente->GetBinCenter(binmin+1); | |
5658 | x[4] = pente->GetBinCenter(binmin+2); | |
5659 | y[0] = pente->GetBinContent(binmin-2); | |
5660 | y[1] = pente->GetBinContent(binmin-1); | |
5661 | y[2] = pente->GetBinContent(binmin); | |
5662 | y[3] = pente->GetBinContent(binmin+1); | |
5663 | y[4] = pente->GetBinContent(binmin+2); | |
5664 | //Calcul the polynome de Lagrange | |
5665 | c = CalculPolynomeLagrange4(x,y); | |
5666 | //richtung +/- | |
5667 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1)) && | |
5668 | (pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) put = kFALSE; | |
5669 | if(((binmin+3) <= (nbins-1)) && | |
5670 | (pente->GetBinContent(binmin+3) <= pente->GetBinContent(binmin+2)) && | |
5671 | ((binmin-3) >= TMath::Min(binmax+4, projPH->GetNbinsX())) && | |
5672 | (pente->GetBinContent(binmin-3) <= pente->GetBinContent(binmin-2))) put = kFALSE; | |
5673 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1)) && | |
5674 | (pente->GetBinContent(binmin-2) > pente->GetBinContent(binmin-1))) case1 = kTRUE; | |
5675 | if((pente->GetBinContent(binmin+2) > pente->GetBinContent(binmin+1)) && | |
5676 | (pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) case4 = kTRUE; | |
5677 | } | |
5678 | //case binmin = nbins-2 | |
5679 | //pol3 case 1 | |
5680 | if(((binmin == (nbins-2)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
5681 | (case1)){ | |
5682 | min = pente->GetBinCenter(binmin-2); | |
5683 | max = pente->GetBinCenter(binmin+1); | |
5684 | x[0] = pente->GetBinCenter(binmin-2); | |
5685 | x[1] = pente->GetBinCenter(binmin-1); | |
5686 | x[2] = pente->GetBinCenter(binmin); | |
5687 | x[3] = pente->GetBinCenter(binmin+1); | |
5688 | y[0] = pente->GetBinContent(binmin-2); | |
5689 | y[1] = pente->GetBinContent(binmin-1); | |
5690 | y[2] = pente->GetBinContent(binmin); | |
5691 | y[3] = pente->GetBinContent(binmin+1); | |
5692 | //Calcul the polynome de Lagrange | |
5693 | c = CalculPolynomeLagrange3(x,y); | |
5694 | //richtung +: nothing | |
5695 | //richtung - | |
5696 | if((pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) case2 = kTRUE; | |
5697 | } | |
5698 | //pol3 case 4 | |
5699 | if(((binmin <= (nbins-3)) && ((binmin-1) == TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
5700 | (case4)){ | |
5701 | min = pente->GetBinCenter(binmin-1); | |
5702 | max = pente->GetBinCenter(binmin+2); | |
5703 | x[0] = pente->GetBinCenter(binmin-1); | |
5704 | x[1] = pente->GetBinCenter(binmin); | |
5705 | x[2] = pente->GetBinCenter(binmin+1); | |
5706 | x[3] = pente->GetBinCenter(binmin+2); | |
5707 | y[0] = pente->GetBinContent(binmin-1); | |
5708 | y[1] = pente->GetBinContent(binmin); | |
5709 | y[2] = pente->GetBinContent(binmin+1); | |
5710 | y[3] = pente->GetBinContent(binmin+2); | |
5711 | //Calcul the polynome de Lagrange | |
5712 | c = CalculPolynomeLagrange3(x,y); | |
5713 | //richtung + | |
5714 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1))) case2 = kTRUE; | |
5715 | } | |
5716 | //pol2 case 5 | |
5717 | if((binmin <= (nbins-3)) && (binmin == TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
5718 | min = pente->GetBinCenter(binmin); | |
5719 | max = pente->GetBinCenter(binmin+2); | |
5720 | x[0] = pente->GetBinCenter(binmin); | |
5721 | x[1] = pente->GetBinCenter(binmin+1); | |
5722 | x[2] = pente->GetBinCenter(binmin+2); | |
5723 | y[0] = pente->GetBinContent(binmin); | |
5724 | y[1] = pente->GetBinContent(binmin+1); | |
5725 | y[2] = pente->GetBinContent(binmin+2); | |
5726 | //Calcul the polynome de Lagrange | |
5727 | c = CalculPolynomeLagrange2(x,y); | |
5728 | //richtung + | |
5729 | if((pente->GetBinContent(binmin+2) <= pente->GetBinContent(binmin+1))) put = kFALSE; | |
5730 | } | |
5731 | //pol2 case 2 | |
5732 | if(((binmin == (nbins-2)) && ((binmin-1) == TMath::Min(binmax+4, projPH->GetNbinsX()))) || | |
5733 | (case2)){ | |
5734 | min = pente->GetBinCenter(binmin-1); | |
5735 | max = pente->GetBinCenter(binmin+1); | |
5736 | x[0] = pente->GetBinCenter(binmin-1); | |
5737 | x[1] = pente->GetBinCenter(binmin); | |
5738 | x[2] = pente->GetBinCenter(binmin+1); | |
5739 | y[0] = pente->GetBinContent(binmin-1); | |
5740 | y[1] = pente->GetBinContent(binmin); | |
5741 | y[2] = pente->GetBinContent(binmin+1); | |
5742 | //Calcul the polynome de Lagrange | |
5743 | c = CalculPolynomeLagrange2(x,y); | |
5744 | //richtung +: nothing | |
5745 | //richtung -: nothing | |
5746 | } | |
5747 | //case binmin = nbins-1 | |
5748 | //pol2 case 0 | |
5749 | if((binmin == (nbins-1)) && ((binmin-2) >= TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
5750 | min = pente->GetBinCenter(binmin-2); | |
5751 | max = pente->GetBinCenter(binmin); | |
5752 | x[0] = pente->GetBinCenter(binmin-2); | |
5753 | x[1] = pente->GetBinCenter(binmin-1); | |
5754 | x[2] = pente->GetBinCenter(binmin); | |
5755 | y[0] = pente->GetBinContent(binmin-2); | |
5756 | y[1] = pente->GetBinContent(binmin-1); | |
5757 | y[2] = pente->GetBinContent(binmin); | |
5758 | //Calcul the polynome de Lagrange | |
5759 | c = CalculPolynomeLagrange2(x,y); | |
5760 | AliInfo("At the limit for the drift!"); | |
5761 | //fluctuation too big! | |
5762 | //richtung +: nothing | |
5763 | //richtung - | |
5764 | if((pente->GetBinContent(binmin-2) <= pente->GetBinContent(binmin-1))) put = kFALSE; | |
5765 | } | |
5766 | if((binmin == (nbins-1)) && ((binmin-2) < TMath::Min(binmax+4, projPH->GetNbinsX()))) { | |
5767 | put = kFALSE; | |
5768 | AliInfo("At the limit for the drift and not usable!"); | |
5769 | } | |
5770 | ||
5771 | //pass | |
5772 | if((binmin == (nbins-2)) && ((binmin-1) < TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
5773 | put = kFALSE; | |
5774 | AliInfo("For the drift...problem!"); | |
5775 | } | |
5776 | ||
5777 | //pass but should not happen | |
5778 | if((binmin <= (nbins-3)) && (binmin < TMath::Min(binmax+4, projPH->GetNbinsX()))){ | |
5779 | put = kFALSE; | |
5780 | AliInfo("For the drift...problem!"); | |
5781 | } | |
5782 | ||
5783 | if(fDebug == 2) AliInfo(Form("For the drift region binmax %d",binmin)); | |
5784 | ||
5785 | if(put) { | |
5786 | polynome = new TF1("pol","[0]+[1]*x+[2]*x*x+[3]*x*x*x+[4]*x*x*x*x",min,max); | |
5787 | polynome->SetParameters(c[0],c[1],c[2],c[3],c[4]); | |
5788 | if(fDebug == 2) { | |
5789 | AliInfo(Form("c[0] %f, c[1] %f, c[2] %f, c[3] %f, c[4] %f",c[0],c[1],c[2],c[3],c[4])); | |
5790 | } | |
5791 | //AliInfo(Form("GetMinimum of the function %f",polynome->GetMinimumX())); | |
5792 | Double_t step = (max-min)/1000; | |
5793 | Double_t l = min; | |
5794 | Double_t minvalue = 0.0; | |
5795 | Double_t placeminimum = min; | |
5796 | for(Int_t o = 0; o < 1000; o++){ | |
5797 | if(o == 0) minvalue = polynome->Eval(l); | |
5798 | if(minvalue > (polynome->Eval(l))){ | |
5799 | minvalue = polynome->Eval(l); | |
5800 | placeminimum = l; | |
5801 | } | |
5802 | l += step; | |
5803 | } | |
5804 | fPhd[2] = placeminimum; | |
5805 | } | |
5806 | ||
5807 | if(fDebug == 2) AliInfo(Form("For the drift region extrapolated binmax %f",fPhd[2])); | |
5808 | ||
5809 | Float_t fPhdt0 = 0.0; | |
5810 | if(fTakeTheMaxPH) fPhdt0 = fPhd[1]; | |
5811 | else fPhdt0 = fPhd[0]; | |
5812 | ||
5813 | if ((fPhd[2] > fPhd[0]) && | |
5814 | (fPhd[2] > fPhd[1]) && | |
5815 | (fPhd[1] > fPhd[0]) && | |
5816 | (put)) { | |
5817 | fVdriftCoef[3] = (kDrWidth) / (fPhd[2]-fPhd[1]); | |
5818 | if(fFitPHNDB == 3) fNumberFitSuccess++; | |
5819 | if (fPhdt0 >= 0.0) { | |
5820 | fT0Coef[3] = (fPhdt0 - fT0Shift) / widbins; | |
5821 | if (fT0Coef[3] < -1.0) { | |
5822 | fT0Coef[3] = fT0Coef[2]; | |
5823 | } | |
5824 | } | |
5825 | else { | |
5826 | fT0Coef[3] = fT0Coef[2]; | |
5827 | } | |
5828 | } | |
5829 | else { | |
5830 | fVdriftCoef[3] = -TMath::Abs(fVdriftCoef[2]); | |
5831 | fT0Coef[3] = fT0Coef[2]; | |
5832 | } | |
5833 | ||
5834 | if ((fDebug == 1) || | |
5835 | (fDebug == 4)) { | |
5836 | fCoefVdrift[3][idect] = fVdriftCoef[3]; | |
5837 | fCoefVdriftE[2] [idect] = vdriftCoefE; | |
5838 | fCoefT0[3][idect] = fT0Coef[3]; | |
5839 | fCoefT0E[2][idect] = t0CoefE; | |
5840 | } | |
5841 | ||
5842 | if (fDebug == 2) { | |
5843 | TCanvas *cpentei = new TCanvas("cpentei","cpentei",50,50,600,800); | |
5844 | cpentei->cd(); | |
5845 | projPH->Draw(); | |
5846 | line->SetLineColor(2); | |
5847 | line->DrawLine(fPhd[0],0,fPhd[0],projPH->GetMaximum()); | |
5848 | line->DrawLine(fPhd[1],0,fPhd[1],projPH->GetMaximum()); | |
5849 | line->DrawLine(fPhd[2],0,fPhd[2],projPH->GetMaximum()); | |
5850 | AliInfo(Form("fPhd[0] (beginning of the signal): %f" ,(Float_t) fPhd[0])); | |
5851 | AliInfo(Form("fPhd[1] (end of the amplification region): %f" ,(Float_t) fPhd[1])); | |
5852 | AliInfo(Form("fPhd[2] (end of the drift region): %f" ,(Float_t) fPhd[2])); | |
5853 | AliInfo(Form("fVriftCoef[3] (with only the drift region(default)): %f",(Float_t) fVdriftCoef[3])); | |
5854 | TCanvas *cpentei2 = new TCanvas("cpentei2","cpentei2",50,50,600,800); | |
5855 | cpentei2->cd(); | |
5856 | pentea->Draw(); | |
5857 | TCanvas *cpentei3 = new TCanvas("cpentei3","cpentei3",50,50,600,800); | |
5858 | cpentei3->cd(); | |
5859 | pente->Draw(); | |
5860 | } | |
5861 | ||
5862 | if (fDebug != 2) { | |
5863 | delete pentea; | |
5864 | delete pente; | |
5865 | delete polynome; | |
5866 | delete polynomea; | |
5867 | delete polynomeb; | |
5868 | } | |
5869 | ||
5870 | projPH->SetDirectory(0); | |
5871 | ||
5872 | } | |
5873 | ||
5874 | //_____________________________________________________________________________ | |
5875 | void AliTRDCalibraFit::FitPH(TH1* projPH, Int_t idect) | |
5876 | { | |
5877 | // | |
5878 | // Fit methode for the drift velocity | |
5879 | // | |
5880 | ||
5881 | // Constants | |
5882 | const Float_t kDrWidth = AliTRDgeometry::DrThick(); | |
5883 | ||
5884 | // Some variables | |
5885 | TAxis *xpph = projPH->GetXaxis(); | |
5886 | Double_t upedge = xpph->GetBinUpEdge(xpph->GetNbins()); | |
5887 | ||
5888 | TF1 *fPH = new TF1("fPH",AliTRDCalibraFit::PH,-0.05,3.2,6); | |
5889 | fPH->SetParameter(0,0.469); // Scaling | |
5890 | fPH->SetParameter(1,0.18); // Start | |
5891 | fPH->SetParameter(2,0.0857325); // AR | |
5892 | fPH->SetParameter(3,1.89); // DR | |
5893 | fPH->SetParameter(4,0.08); // QA/QD | |
5894 | fPH->SetParameter(5,0.0); // Baseline | |
5895 | ||
5896 | TLine *line = new TLine(); | |
5897 | ||
5898 | fVdriftCoef[0] = 0.0; | |
5899 | fT0Coef[0] = 0.0; | |
5900 | Double_t vdriftCoefE = 0.0; | |
5901 | Double_t t0CoefE = 0.0; | |
5902 | ||
5903 | if (idect%fFitPHPeriode == 0) { | |
5904 | ||
5905 | AliInfo(Form("<AliTRDCalibraFit::FitPH> The detector %d will be fitted",idect)); | |
5906 | fPH->SetParameter(0,(projPH->Integral()-(projPH->GetBinContent(1)*projPH->GetNbinsX())) * 0.00028); // Scaling | |
5907 | fPH->SetParameter(1,fPhd[0] - 0.1); // Start | |
5908 | fPH->SetParameter(2,fPhd[1] - fPhd[0]); // AR | |
5909 | fPH->SetParameter(3,fPhd[2] - fPhd[1]); // DR | |
5910 | fPH->SetParameter(4,0.225); // QA/QD | |
5911 | fPH->SetParameter(5,(Float_t) projPH->GetBinContent(1)); | |
5912 | ||
5913 | if (fDebug != 2) { | |
5914 | projPH->Fit(fPH,"0M","",0.0,upedge); | |
5915 | } | |
5916 | ||
5917 | if (fDebug == 2) { | |
5918 | TCanvas *cpente = new TCanvas("cpente","cpente",50,50,600,800); | |
5919 | cpente->cd(); | |
5920 | projPH->Fit(fPH,"M+","",0.0,upedge); | |
5921 | projPH->Draw("E0"); | |
5922 | line->SetLineColor(4); | |
5923 | line->DrawLine(fPH->GetParameter(1) | |
5924 | ,0 | |
5925 | ,fPH->GetParameter(1) | |
5926 | ,projPH->GetMaximum()); | |
5927 | line->DrawLine(fPH->GetParameter(1)+fPH->GetParameter(2) | |
5928 | ,0 | |
5929 | ,fPH->GetParameter(1)+fPH->GetParameter(2) | |
5930 | ,projPH->GetMaximum()); | |
5931 | line->DrawLine(fPH->GetParameter(1)+fPH->GetParameter(2)+fPH->GetParameter(3) | |
5932 | ,0 | |
5933 | ,fPH->GetParameter(1)+fPH->GetParameter(2)+fPH->GetParameter(3) | |
5934 | ,projPH->GetMaximum()); | |
5935 | } | |
5936 | ||
5937 | if (fPH->GetParameter(3) != 0) { | |
5938 | if(fFitPHNDB == 0) fNumberFitSuccess++; | |
5939 | fVdriftCoef[0] = kDrWidth / (fPH->GetParameter(3)); | |
5940 | vdriftCoefE = (fPH->GetParError(3)/fPH->GetParameter(3))*fVdriftCoef[0]; | |
5941 | fT0Coef[0] = fPH->GetParameter(1); | |
5942 | t0CoefE = fPH->GetParError(1); | |
5943 | } | |
5944 | else { | |
5945 | fVdriftCoef[0] = -TMath::Abs(fVdriftCoef[2]); | |
5946 | fT0Coef[0] = fT0Coef[2]; | |
5947 | } | |
5948 | ||
5949 | if ((fDebug == 1) || | |
5950 | (fDebug == 4)) { | |
5951 | fCoefVdrift[0][idect] = fVdriftCoef[0]; | |
5952 | fCoefVdriftE[0][idect] = vdriftCoefE; | |
5953 | fCoefT0[0][idect] = fT0Coef[0]; | |
5954 | fCoefT0E[0][idect] = t0CoefE; | |
5955 | } | |
5956 | if (fDebug == 2) { | |
5957 | AliInfo(Form("fVdriftCoef[0]: %f",(Float_t) fVdriftCoef[0])); | |
5958 | } | |
5959 | ||
5960 | } | |
5961 | ||
5962 | else { | |
5963 | ||
5964 | // Put the default value | |
5965 | if ((fDebug <= 1) || | |
5966 | (fDebug == 4)) { | |
5967 | fCoefVdrift[0][idect] = -TMath::Abs(fVdriftCoef[2]); | |
5968 | fCoefT0[0][idect] = -TMath::Abs(fT0Coef[2]); | |
5969 | } | |
5970 | ||
5971 | } | |
5972 | ||
5973 | if (fDebug != 2) { | |
5974 | delete fPH; | |
5975 | } | |
5976 | ||
5977 | } | |
5978 | ||
5979 | //_____________________________________________________________________________ | |
5980 | void AliTRDCalibraFit::FitPRF(TH1 *projPRF, Int_t idect) | |
5981 | { | |
5982 | // | |
5983 | // Fit methode for the sigma of the pad response function | |
5984 | // | |
5985 | ||
5986 | fPRFCoef[0] = 0.0; | |
5987 | Double_t prfCoefE = 0.0; | |
5988 | ||
5989 | if (fDebug != 2) { | |
5990 | ||
5991 | projPRF->Fit("gaus","0M","",-fRangeFitPRF,fRangeFitPRF); | |
5992 | ||
5993 | } | |
5994 | ||
5995 | if (fDebug == 2) { | |
5996 | TCanvas *cfit = new TCanvas("cfit","cfit",50,50,600,800); | |
5997 | cfit->cd(); | |
5998 | projPRF->Fit("gaus","M+","",-fRangeFitPRF,fRangeFitPRF); | |
5999 | projPRF->Draw(); | |
6000 | ||
6001 | } | |
6002 | ||
6003 | fPRFCoef[0] = projPRF->GetFunction("gaus")->GetParameter(2); | |
6004 | prfCoefE = projPRF->GetFunction("gaus")->GetParError(2); | |
6005 | ||
6006 | if(fPRFCoef[0] <= 0.0) fPRFCoef[0] = -fPRFCoef[1]; | |
6007 | else { | |
6008 | if(fFitPRFNDB == 0) fNumberFitSuccess++; | |
6009 | } | |
6010 | ||
6011 | if ((fDebug == 1) || | |
6012 | (fDebug == 4)) { | |
6013 | fCoefPRF[0][idect] = fPRFCoef[0]; | |
6014 | fCoefPRFE[0][idect] = prfCoefE; | |
6015 | } | |
6016 | if (fDebug == 2) { | |
6017 | AliInfo(Form("fPRFCoef[0]: %f",(Float_t) fPRFCoef[0])); | |
6018 | } | |
6019 | ||
6020 | } | |
6021 | ||
6022 | //_____________________________________________________________________________ | |
6023 | void AliTRDCalibraFit::RmsPRF(TH1 *projPRF, Int_t idect) | |
6024 | { | |
6025 | // | |
6026 | // Fit methode for the sigma of the pad response function | |
6027 | // | |
6028 | ||
6029 | fPRFCoef[2] = 0.0; | |
6030 | Double_t prfCoefE = 0.0; | |
6031 | ||
6032 | ||
6033 | if (fDebug == 2) { | |
6034 | TCanvas *cfit = new TCanvas("cfit","cfit",50,50,600,800); | |
6035 | cfit->cd(); | |
6036 | projPRF->Draw(); | |
6037 | ||
6038 | } | |
6039 | ||
6040 | fPRFCoef[2] = projPRF->GetRMS(); | |
6041 | ||
6042 | if(fPRFCoef[2] <= 0.0) fPRFCoef[2] = -fPRFCoef[1]; | |
6043 | else { | |
6044 | if(fFitPRFNDB == 2) fNumberFitSuccess++; | |
6045 | } | |
6046 | ||
6047 | if ((fDebug == 1) || | |
6048 | (fDebug == 4)) { | |
6049 | fCoefPRF[2][idect] = fPRFCoef[2]; | |
6050 | fCoefPRFE[1][idect] = prfCoefE; | |
6051 | } | |
6052 | if (fDebug == 2) { | |
6053 | AliInfo(Form("fPRFCoef[2]: %f",(Float_t) fPRFCoef[2])); | |
6054 | } | |
6055 | ||
6056 | } | |
6057 | ||
6058 | //_____________________________________________________________________________ | |
6059 | void AliTRDCalibraFit::FitMean(TH1 *projch, Int_t idect, Double_t nentries) | |
6060 | { | |
6061 | // | |
6062 | // Only mean methode for the gain factor | |
6063 | // | |
6064 | ||
6065 | Double_t chargeCoefE1 = 0.0; | |
6066 | if(nentries > 0) chargeCoefE1 = projch->GetRMS()/TMath::Sqrt(nentries); | |
6067 | ||
6068 | if (fDebug == 2) { | |
6069 | TCanvas *cpmean = new TCanvas("cpmean","cpmean",50,50,600,800); | |
6070 | cpmean->cd(); | |
6071 | projch->Draw(); | |
6072 | } | |
6073 | ||
6074 | if(fFitChargeNDB == 1){ | |
6075 | CalculChargeCoefMean(fCountDet[0],(Int_t) idect,kTRUE); | |
6076 | fNumberFitSuccess++; | |
6077 | } | |
6078 | if ((fDebug == 1) || | |
6079 | (fDebug == 4)) { | |
6080 | fCoefCharge[1][idect]= fChargeCoef[1]; | |
6081 | fCoefChargeE[1][idect]= chargeCoefE1; | |
6082 | } | |
6083 | } | |
6084 | ||
6085 | //_____________________________________________________________________________ | |
6086 | void AliTRDCalibraFit::FitMeanW(TH1 *projch, Int_t idect) | |
6087 | { | |
6088 | // | |
6089 | // mean w methode for the gain factor | |
6090 | // | |
6091 | ||
6092 | //Number of bins | |
6093 | Int_t nybins = projch->GetNbinsX(); | |
6094 | ||
6095 | //The weight function | |
6096 | Double_t a = 0.00228515; | |
6097 | Double_t b = -0.00231487; | |
6098 | Double_t c = 0.00044298; | |
6099 | Double_t d = -0.00379239; | |
6100 | Double_t e = 0.00338349; | |
6101 | ||
6102 | // 0 |0.00228515 | |
6103 | // 1 |-0.00231487 | |
6104 | // 2 |0.00044298 | |
6105 | // 3 |-0.00379239 | |
6106 | // 4 |0.00338349 | |
6107 | ||
6108 | //A arbitrary error for the moment | |
6109 | Double_t chargeCoefE4 = 0.0; | |
6110 | fChargeCoef[4] = 0.0; | |
6111 | ||
6112 | //Calcul | |
6113 | Double_t sumw = 0.0; | |
6114 | Double_t sum = 0.0; | |
6115 | Int_t sumAll = (Int_t) projch->GetEntries(); | |
6116 | Int_t sumCurrent = 0; | |
6117 | for(Int_t k = 0; k <nybins; k++){ | |
6118 | Double_t fraction = Float_t(sumCurrent)/Float_t(sumAll); | |
6119 | if (fraction>0.95) break; | |
6120 | Double_t weight = a + b*fraction + c*fraction*fraction + d *fraction*fraction*fraction+ | |
6121 | e*fraction*fraction*fraction*fraction; | |
6122 | sumw += weight*projch->GetBinContent(k+1)*projch->GetBinCenter(k+1); | |
6123 | sum += weight*projch->GetBinContent(k+1); | |
6124 | sumCurrent += (Int_t) projch->GetBinContent(k+1); | |
6125 | //printf("fraction %f, weight %f, bincontent %f\n",fraction,weight,projch->GetBinContent(k+1)); | |
6126 | } | |
6127 | if(sum > 0.0) fChargeCoef[4] = (sumw/sum); | |
6128 | ||
6129 | if (fDebug == 2) { | |
6130 | AliInfo(Form("fChargeCoef[4] is %f for the dect %d",fChargeCoef[4],idect)); | |
6131 | TCanvas *cpmeanw = new TCanvas("cpmeanw","cpmeanw",50,50,600,800); | |
6132 | cpmeanw->cd(); | |
6133 | projch->Draw(); | |
6134 | } | |
6135 | ||
6136 | if(fFitChargeNDB == 4){ | |
6137 | fNumberFitSuccess++; | |
6138 | CalculChargeCoefMean(fCountDet[0],(Int_t) idect,kTRUE); | |
6139 | } | |
6140 | if ((fDebug == 1) || | |
6141 | (fDebug == 4)) { | |
6142 | fCoefCharge[4][idect]= fChargeCoef[4]; | |
6143 | fCoefChargeE[3][idect]= chargeCoefE4; | |
6144 | } | |
6145 | ||
6146 | } | |
6147 | ||
6148 | //_____________________________________________________________________________ | |
6149 | void AliTRDCalibraFit::FitCH(TH1 *projch, Int_t idect) | |
6150 | { | |
6151 | // | |
6152 | // Fit methode for the gain factor | |
6153 | // | |
6154 | ||
6155 | fChargeCoef[0] = 0.0; | |
6156 | Double_t chargeCoefE0 = 0.0; | |
6157 | Double_t chisqrl = 0.0; | |
6158 | Double_t chisqrg = 0.0; | |
6159 | Double_t chisqr = 0.0; | |
6160 | TF1 *fLandauGaus = new TF1("fLandauGaus",FuncLandauGaus,0,300,5); | |
6161 | ||
6162 | projch->Fit("landau","0","" | |
6163 | ,(Float_t) fChargeCoef[1]/fBeginFitCharge | |
6164 | ,projch->GetBinCenter(projch->GetNbinsX())); | |
6165 | Double_t l3P0 = projch->GetFunction("landau")->GetParameter(0); | |
6166 | Double_t l3P1 = projch->GetFunction("landau")->GetParameter(1); | |
6167 | Double_t l3P2 = projch->GetFunction("landau")->GetParameter(2); | |
6168 | chisqrl = projch->GetFunction("landau")->GetChisquare(); | |
6169 | ||
6170 | projch->Fit("gaus","0","" | |
6171 | ,(Float_t) fChargeCoef[1]/fBeginFitCharge | |
6172 | ,projch->GetBinCenter(projch->GetNbinsX())); | |
6173 | Double_t g3P0 = projch->GetFunction("gaus")->GetParameter(0); | |
6174 | Double_t g3P2 = projch->GetFunction("gaus")->GetParameter(2); | |
6175 | chisqrg = projch->GetFunction("gaus")->GetChisquare(); | |
6176 | ||
6177 | fLandauGaus->SetParameters(l3P0,l3P1,l3P2,g3P0,g3P2); | |
6178 | if ((fDebug <= 1) || | |
6179 | (fDebug >= 3)) { | |
6180 | projch->Fit("fLandauGaus","0","" | |
6181 | ,(Float_t) fChargeCoef[1]/fBeginFitCharge | |
6182 | ,projch->GetBinCenter(projch->GetNbinsX())); | |
6183 | chisqr = projch->GetFunction("fLandauGaus")->GetChisquare(); | |
6184 | } | |
6185 | ||
6186 | if (fDebug == 2) { | |
6187 | TCanvas *cp = new TCanvas("cp","cp",50,50,600,800); | |
6188 | cp->cd(); | |
6189 | projch->Fit("fLandauGaus","+","" | |
6190 | ,(Float_t) fChargeCoef[1]/fBeginFitCharge | |
6191 | ,projch->GetBinCenter(projch->GetNbinsX())); | |
6192 | chisqr = projch->GetFunction("fLandauGaus")->GetChisquare(); | |
6193 | projch->Draw(); | |
6194 | fLandauGaus->Draw("same"); | |
6195 | } | |
6196 | ||
6197 | if ((projch->GetFunction("fLandauGaus")->GetParameter(1) > 0) && | |
6198 | (projch->GetFunction("fLandauGaus")->GetParError(1) < | |
6199 | (0.05*projch->GetFunction("fLandauGaus")->GetParameter(1))) && | |
6200 | (chisqr < chisqrl) && | |
6201 | (chisqr < chisqrg)) { | |
6202 | // Calcul of "real" coef | |
6203 | if(fFitChargeNDB == 0){ | |
6204 | fNumberFitSuccess++; | |
6205 | CalculChargeCoefMean(fCountDet[0],(Int_t) idect,kTRUE); | |
6206 | } | |
6207 | else { | |
6208 | CalculChargeCoefMean(fCountDet[0],(Int_t) idect,kFALSE); | |
6209 | } | |
6210 | fChargeCoef[0] = projch->GetFunction("fLandauGaus")->GetParameter(1); | |
6211 | chargeCoefE0 = projch->GetFunction("fLandauGaus")->GetParError(1); | |
6212 | } | |
6213 | else { | |
6214 | // Calcul of "real" coef | |
6215 | CalculChargeCoefMean(fCountDet[0],(Int_t) idect,kFALSE); | |
6216 | fChargeCoef[0] = -TMath::Abs(fChargeCoef[3]); | |
6217 | } | |
6218 | ||
6219 | if (fDebug == 2) { | |
6220 | AliInfo(Form("fChargeCoef[0]: %f",(Float_t) fChargeCoef[0])); | |
6221 | AliInfo(Form("fChargeCoef[1]: %f",(Float_t) fChargeCoef[1])); | |
6222 | } | |
6223 | ||
6224 | if ((fDebug == 1) || | |
6225 | (fDebug == 4)) { | |
6226 | if (fChargeCoef[0] > 0.0) { | |
6227 | fCoefCharge[0][idect]= fChargeCoef[0]; | |
6228 | fCoefChargeE[0][idect]= chargeCoefE0; | |
6229 | } | |
6230 | } | |
6231 | ||
6232 | if (fDebug != 2) { | |
6233 | delete fLandauGaus; | |
6234 | } | |
6235 | ||
6236 | } | |
6237 | ||
6238 | //_____________________________________________________________________________ | |
6239 | void AliTRDCalibraFit::FitBisCH(TH1* projch, Int_t idect) | |
6240 | { | |
6241 | // | |
6242 | // Fit methode for the gain factor more time consuming | |
6243 | // | |
6244 | ||
6245 | //Some parameters to initialise | |
6246 | Double_t widthLandau, widthGaus, MPV, Integral; | |
6247 | Double_t chisquarel = 0.0; | |
6248 | Double_t chisquareg = 0.0; | |
6249 | ||
6250 | projch->Fit("landau","0M+","" | |
6251 | ,(Float_t) fChargeCoef[1]/6 | |
6252 | ,projch->GetBinCenter(projch->GetNbinsX())); | |
6253 | widthLandau = projch->GetFunction("landau")->GetParameter(2); | |
6254 | chisquarel = projch->GetFunction("landau")->GetChisquare(); | |
6255 | ||
6256 | projch->Fit("gaus","0M+","" | |
6257 | ,(Float_t) fChargeCoef[1]/6 | |
6258 | ,projch->GetBinCenter(projch->GetNbinsX())); | |
6259 | widthGaus = projch->GetFunction("gaus")->GetParameter(2); | |
6260 | chisquareg = projch->GetFunction("gaus")->GetChisquare(); | |
6261 | ||
6262 | MPV = (projch->GetFunction("landau")->GetParameter(1))/2; | |
6263 | Integral = (projch->GetFunction("gaus")->Integral(0.3*fChargeCoef[1],3*fChargeCoef[1]) | |
6264 | + projch->GetFunction("landau")->Integral(0.3*fChargeCoef[1],3*fChargeCoef[1]))/2; | |
6265 | ||
6266 | // Setting fit range and start values | |
6267 | Double_t fr[2]; | |
6268 | //Double_t sv[4] = { l3P2, fChargeCoef[1], projch->Integral("width"), fG3P2 }; | |
6269 | //Double_t sv[4] = { fL3P2, fChargeCoef[1], fL3P0, fG3P2 }; | |
6270 | Double_t sv[4] = { widthLandau, MPV, Integral, widthGaus}; | |
6271 | Double_t pllo[4] = { 0.001, 0.001, projch->Integral()/3, 0.001}; | |
6272 | Double_t plhi[4] = { 300.0, 300.0, 30*projch->Integral(), 300.0}; | |
6273 | Double_t fp[4] = { 1.0, 1.0, 1.0, 1.0 }; | |
6274 | Double_t fpe[4] = { 1.0, 1.0, 1.0, 1.0 }; | |
6275 | fr[0] = 0.3 * fChargeCoef[1]; | |
6276 | fr[1] = 3.0 * fChargeCoef[1]; | |
6277 | fChargeCoef[2] = 0.0; | |
6278 | Double_t chargeCoefE2 = 0.0; | |
6279 | ||
6280 | Double_t chisqr; | |
6281 | Int_t ndf; | |
6282 | TF1 *fitsnr = LanGauFit(projch,&fr[0],&sv[0] | |
6283 | ,&pllo[0],&plhi[0] | |
6284 | ,&fp[0],&fpe[0] | |
6285 | ,&chisqr,&ndf); | |
6286 | ||
6287 | Double_t projchPeak; | |
6288 | Double_t projchFWHM; | |
6289 | LanGauPro(fp,projchPeak,projchFWHM); | |
6290 | ||
6291 | if ((fp[1] > 0) && ((fpe[1] < (0.05*fp[1])) && (chisqr < chisquarel) && (chisqr < chisquareg))) { | |
6292 | //if ((fp[1] > 0) && ((chisqr < chisquarel) && (chisqr < chisquareg))) { | |
6293 | if(fFitChargeNDB == 2){ | |
6294 | fNumberFitSuccess++; | |
6295 | CalculChargeCoefMean(fCountDet[0],(Int_t) idect,kTRUE); | |
6296 | } | |
6297 | else { | |
6298 | CalculChargeCoefMean(fCountDet[0],(Int_t) idect,kFALSE); | |
6299 | } | |
6300 | fChargeCoef[2] = fp[1]; | |
6301 | chargeCoefE2 = fpe[1]; | |
6302 | //chargeCoefE2 = chisqr; | |
6303 | } | |
6304 | else { | |
6305 | CalculChargeCoefMean(fCountDet[0],(Int_t) idect,kFALSE); | |
6306 | fChargeCoef[2] = -TMath::Abs(fChargeCoef[3]); | |
6307 | } | |
6308 | ||
6309 | if (fDebug == 2) { | |
6310 | AliInfo(Form("fChargeCoef[2]: %f",(Float_t) fChargeCoef[2])); | |
6311 | TCanvas *cpy = new TCanvas("cpy","cpy",50,50,600,800); | |
6312 | cpy->cd(); | |
6313 | projch->Draw(); | |
6314 | fitsnr->Draw("same"); | |
6315 | } | |
6316 | ||
6317 | if ((fDebug == 1) || | |
6318 | (fDebug == 4)) { | |
6319 | if (fChargeCoef[2] > 0.0) { | |
6320 | fCoefCharge[2][idect]= fChargeCoef[2]; | |
6321 | fCoefChargeE[2][idect]= chargeCoefE2; | |
6322 | } | |
6323 | } | |
6324 | ||
6325 | if (fDebug != 2) { | |
6326 | delete fitsnr; | |
6327 | } | |
6328 | ||
6329 | } | |
6330 | ||
6331 | //_____________________________________________________________________________ | |
6332 | Double_t *AliTRDCalibraFit::CalculPolynomeLagrange2(Double_t *x, Double_t *y) | |
6333 | { | |
6334 | // | |
6335 | // Calcul the coefficients of the polynome passant par ces trois points de degre 2 | |
6336 | // | |
6337 | ||
6338 | Double_t *c = new Double_t[5]; | |
6339 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])); | |
6340 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])); | |
6341 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])); | |
6342 | ||
6343 | c[4] = 0.0; | |
6344 | c[3] = 0.0; | |
6345 | c[2] = x0+x1+x2; | |
6346 | c[1] = -(x0*(x[1]+x[2])+x1*(x[0]+x[2])+x2*(x[0]+x[1])); | |
6347 | c[0] = x0*x[1]*x[2]+x1*x[0]*x[2]+x2*x[0]*x[1]; | |
6348 | ||
6349 | return c; | |
6350 | ||
6351 | } | |
6352 | ||
6353 | //_____________________________________________________________________________ | |
6354 | Double_t *AliTRDCalibraFit::CalculPolynomeLagrange3(Double_t *x, Double_t *y) | |
6355 | { | |
6356 | // | |
6357 | // Calcul the coefficients of the polynome passant par ces quatre points de degre 3 | |
6358 | // | |
6359 | ||
6360 | Double_t *c = new Double_t[5]; | |
6361 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])*(x[0]-x[3])); | |
6362 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])*(x[1]-x[3])); | |
6363 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])*(x[2]-x[3])); | |
6364 | Double_t x3 = y[3]/((x[3]-x[0])*(x[3]-x[1])*(x[3]-x[2])); | |
6365 | ||
6366 | c[4] = 0.0; | |
6367 | c[3] = x0+x1+x2+x3; | |
6368 | c[2] = -(x0*(x[1]+x[2]+x[3]) | |
6369 | +x1*(x[0]+x[2]+x[3]) | |
6370 | +x2*(x[0]+x[1]+x[3]) | |
6371 | +x3*(x[0]+x[1]+x[2])); | |
6372 | c[1] = (x0*(x[1]*x[2]+x[1]*x[3]+x[2]*x[3]) | |
6373 | +x1*(x[0]*x[2]+x[0]*x[3]+x[2]*x[3]) | |
6374 | +x2*(x[0]*x[1]+x[0]*x[3]+x[1]*x[3]) | |
6375 | +x3*(x[0]*x[1]+x[0]*x[2]+x[1]*x[2])); | |
6376 | ||
6377 | c[0] = -(x0*x[1]*x[2]*x[3] | |
6378 | +x1*x[0]*x[2]*x[3] | |
6379 | +x2*x[0]*x[1]*x[3] | |
6380 | +x3*x[0]*x[1]*x[2]); | |
6381 | ||
6382 | return c; | |
6383 | ||
6384 | } | |
6385 | ||
6386 | //_____________________________________________________________________________ | |
6387 | Double_t *AliTRDCalibraFit::CalculPolynomeLagrange4(Double_t *x, Double_t *y) | |
6388 | { | |
6389 | // | |
6390 | // Calcul the coefficients of the polynome passant par ces cinqs points de degre 4 | |
6391 | // | |
6392 | ||
6393 | Double_t *c = new Double_t[5]; | |
6394 | Double_t x0 = y[0]/((x[0]-x[1])*(x[0]-x[2])*(x[0]-x[3])*(x[0]-x[4])); | |
6395 | Double_t x1 = y[1]/((x[1]-x[0])*(x[1]-x[2])*(x[1]-x[3])*(x[1]-x[4])); | |
6396 | Double_t x2 = y[2]/((x[2]-x[0])*(x[2]-x[1])*(x[2]-x[3])*(x[2]-x[4])); | |
6397 | Double_t x3 = y[3]/((x[3]-x[0])*(x[3]-x[1])*(x[3]-x[2])*(x[3]-x[4])); | |
6398 | Double_t x4 = y[4]/((x[4]-x[0])*(x[4]-x[1])*(x[4]-x[2])*(x[4]-x[3])); | |
6399 | ||
6400 | c[4] = x0+x1+x2+x3+x4; | |
6401 | c[3] = -(x0*(x[1]+x[2]+x[3]+x[4]) | |
6402 | +x1*(x[0]+x[2]+x[3]+x[4]) | |
6403 | +x2*(x[0]+x[1]+x[3]+x[4]) | |
6404 | +x3*(x[0]+x[1]+x[2]+x[4]) | |
6405 | +x4*(x[0]+x[1]+x[2]+x[3])); | |
6406 | c[2] = (x0*(x[1]*x[2]+x[1]*x[3]+x[1]*x[4]+x[2]*x[3]+x[2]*x[4]+x[3]*x[4]) | |
6407 | +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]) | |
6408 | +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]) | |
6409 | +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]) | |
6410 | +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])); | |
6411 | ||
6412 | c[1] = -(x0*(x[1]*x[2]*x[3]+x[1]*x[2]*x[4]+x[1]*x[3]*x[4]+x[2]*x[3]*x[4]) | |
6413 | +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]) | |
6414 | +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]) | |
6415 | +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]) | |
6416 | +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])); | |
6417 | ||
6418 | c[0] = (x0*x[1]*x[2]*x[3]*x[4] | |
6419 | +x1*x[0]*x[2]*x[3]*x[4] | |
6420 | +x2*x[0]*x[1]*x[3]*x[4] | |
6421 | +x3*x[0]*x[1]*x[2]*x[4] | |
6422 | +x4*x[0]*x[1]*x[2]*x[3]); | |
6423 | ||
6424 | return c; | |
6425 | ||
6426 | } | |
6427 | ||
6428 | //_____________________________________________________________________________ | |
6429 | void AliTRDCalibraFit::NormierungCharge() | |
6430 | { | |
6431 | // | |
6432 | // Normalisation of the gain factor resulting for the fits | |
6433 | // | |
6434 | ||
6435 | // Calcul of the mean of choosen method by fFitChargeNDB | |
6436 | Double_t sum = 0.0; | |
6437 | //printf("total number of entries %d\n",fVectorFitCH->GetEntriesFast()); | |
6438 | for (Int_t k = 0; k < (Int_t) fVectorFitCH->GetEntriesFast(); k++) { | |
6439 | Int_t total = 0; | |
6440 | Int_t detector = ((AliTRDFitCHInfo *) fVectorFitCH->At(k))->GetDetector(); | |
6441 | Float_t *coef = ((AliTRDFitCHInfo *) fVectorFitCH->At(k))->GetCoef(); | |
6442 | //printf("detector %d coef[0] %f\n",detector,coef[0]); | |
6443 | if (GetChamber(detector) == 2) { | |
6444 | total = 1728; | |
6445 | } | |
6446 | if (GetChamber(detector) != 2) { | |
6447 | total = 2304; | |
6448 | } | |
6449 | for (Int_t j = 0; j < total; j++) { | |
6450 | if (coef[j] >= 0) { | |
6451 | sum += coef[j]; | |
6452 | } | |
6453 | } | |
6454 | } | |
6455 | ||
6456 | if (sum > 0) { | |
6457 | fScaleFitFactor = fScaleFitFactor / sum; | |
6458 | } | |
6459 | else { | |
6460 | fScaleFitFactor = 1.0; | |
6461 | } | |
6462 | ||
6463 | if ((fDebug == 3) || | |
6464 | (fDebug == 4)) { | |
6465 | if ((fFitChargeOn) && | |
6466 | (fCoefChargeDB[0]->GetEntries() > 0.0) && | |
6467 | (fCoefChargeDB[0]->GetSumOfWeights() > 0.0)) { | |
6468 | fCoefChargeDB[0]->Scale(fCoefChargeDB[0]->GetEntries() / fCoefChargeDB[0]->GetSumOfWeights()); | |
6469 | } | |
6470 | if ((fMeanChargeOn) && | |
6471 | (fCoefChargeDB[1]->GetEntries() > 0.0) && | |
6472 | (fCoefChargeDB[1]->GetSumOfWeights() > 0.0)) { | |
6473 | fCoefChargeDB[1]->Scale(fCoefChargeDB[1]->GetEntries() / fCoefChargeDB[1]->GetSumOfWeights()); | |
6474 | } | |
6475 | if ((fFitChargeBisOn) && | |
6476 | (fCoefChargeDB[2]->GetEntries() > 0.0) && | |
6477 | (fCoefChargeDB[2]->GetSumOfWeights() > 0.0)) { | |
6478 | fCoefChargeDB[2]->Scale(fCoefChargeDB[2]->GetEntries() / fCoefChargeDB[2]->GetSumOfWeights()); | |
6479 | } | |
6480 | if ((fFitMeanWOn) && | |
6481 | (fCoefChargeDB[3]->GetEntries() > 0.0) && | |
6482 | (fCoefChargeDB[3]->GetSumOfWeights() > 0.0)) { | |
6483 | fCoefChargeDB[3]->Scale(fCoefChargeDB[3]->GetEntries() / fCoefChargeDB[3]->GetSumOfWeights()); | |
6484 | } | |
6485 | } | |
6486 | ||
6487 | } | |
6488 | ||
6489 | //_____________________________________________________________________________ | |
6490 | TH1I *AliTRDCalibraFit::ReBin(TH1I *hist) const | |
6491 | { | |
6492 | // | |
6493 | // Rebin of the 1D histo for the gain calibration if needed. | |
6494 | // you have to choose fRebin, divider of fNumberBinCharge | |
6495 | // | |
6496 | ||
6497 | TAxis *xhist = hist->GetXaxis(); | |
6498 | TH1I *rehist = new TH1I("projrebin","",(Int_t) xhist->GetNbins()/fRebin | |
6499 | ,xhist->GetBinLowEdge(1) | |
6500 | ,xhist->GetBinUpEdge(xhist->GetNbins())); | |
6501 | ||
6502 | AliInfo(Form("fRebin: %d",fRebin)); | |
6503 | Int_t i = 1; | |
6504 | for (Int_t k = 1; k <= (Int_t) xhist->GetNbins()/fRebin; k++) { | |
6505 | Double_t sum = 0.0; | |
6506 | for (Int_t ji = i; ji < i+fRebin; ji++) { | |
6507 | sum += hist->GetBinContent(ji); | |
6508 | } | |
6509 | sum = sum / fRebin; | |
6510 | rehist->SetBinContent(k,sum); | |
6511 | i += fRebin; | |
6512 | } | |
6513 | ||
6514 | if (fDebug == 2) { | |
6515 | TCanvas *crebin = new TCanvas("crebin","",50,50,600,800); | |
6516 | crebin->cd(); | |
6517 | rehist->Draw(); | |
6518 | } | |
6519 | ||
6520 | return rehist; | |
6521 | ||
6522 | } | |
6523 | ||
6524 | //_____________________________________________________________________________ | |
6525 | TH1F *AliTRDCalibraFit::ReBin(TH1F *hist) const | |
6526 | { | |
6527 | // | |
6528 | // Rebin of the 1D histo for the gain calibration if needed | |
6529 | // you have to choose fRebin divider of fNumberBinCharge | |
6530 | // | |
6531 | ||
6532 | TAxis *xhist = hist->GetXaxis(); | |
6533 | TH1F *rehist = new TH1F("projrebin","",(Int_t) xhist->GetNbins()/fRebin | |
6534 | ,xhist->GetBinLowEdge(1) | |
6535 | ,xhist->GetBinUpEdge(xhist->GetNbins())); | |
6536 | ||
6537 | AliInfo(Form("fRebin: %d",fRebin)); | |
6538 | Int_t i = 1; | |
6539 | for (Int_t k = 1; k <= (Int_t) xhist->GetNbins()/fRebin; k++) { | |
6540 | Double_t sum = 0.0; | |
6541 | for (Int_t ji = i; ji < i+fRebin; ji++) { | |
6542 | sum += hist->GetBinContent(ji); | |
6543 | } | |
6544 | sum = sum/fRebin; | |
6545 | rehist->SetBinContent(k,sum); | |
6546 | i += fRebin; | |
6547 | } | |
6548 | ||
6549 | if (fDebug == 2) { | |
6550 | TCanvas *crebin = new TCanvas("crebin","",50,50,600,800); | |
6551 | crebin->cd(); | |
6552 | rehist->Draw(); | |
6553 | } | |
6554 | ||
6555 | return rehist; | |
6556 | ||
6557 | } | |
6558 | ||
6559 | //_____________________________________________________________________________ | |
6560 | TH1F *AliTRDCalibraFit::CorrectTheError(TGraphErrors *hist) | |
6561 | { | |
6562 | // | |
6563 | // In the case of the vectors method the trees contains TGraphErrors for PH and PRF | |
6564 | // to be able to add them after | |
6565 | // We convert it to a TH1F to be able to applied the same fit function method | |
6566 | // After having called this function you can not add the statistics anymore | |
6567 | // | |
6568 | ||
6569 | TH1F *rehist = 0x0; | |
6570 | ||
6571 | Int_t nbins = hist->GetN(); | |
6572 | Double_t *x = hist->GetX(); | |
6573 | Double_t *entries = hist->GetEX(); | |
6574 | Double_t *mean = hist->GetY(); | |
6575 | Double_t *square = hist->GetEY(); | |
6576 | fEntriesCurrent = 0; | |
6577 | ||
6578 | if (nbins < 2) { | |
6579 | return rehist; | |
6580 | } | |
6581 | ||
6582 | Double_t step = x[1] - x[0]; | |
6583 | Double_t minvalue = x[0] - step/2; | |
6584 | Double_t maxvalue = x[(nbins-1)] + step/2; | |
6585 | ||
6586 | rehist = new TH1F("projcorrecterror","",nbins,minvalue,maxvalue); | |
6587 | ||
6588 | for (Int_t k = 0; k < nbins; k++) { | |
6589 | rehist->SetBinContent(k+1,mean[k]); | |
6590 | if (entries[k] > 0.0) { | |
6591 | fEntriesCurrent += (Int_t) entries[k]; | |
6592 | Double_t d = TMath::Abs(square[k] - (mean[k]*mean[k])); | |
6593 | rehist->SetBinError(k+1,TMath::Sqrt(d/entries[k])); | |
6594 | } | |
6595 | else { | |
6596 | rehist->SetBinError(k+1,0.0); | |
6597 | } | |
6598 | } | |
6599 | ||
6600 | return rehist; | |
6601 | ||
6602 | } | |
6603 | ||
6604 | // | |
6605 | //____________Some basic geometry function_____________________________________ | |
6606 | // | |
6607 | ||
6608 | //_____________________________________________________________________________ | |
6609 | Int_t AliTRDCalibraFit::GetPlane(Int_t d) const | |
6610 | { | |
6611 | // | |
6612 | // Reconstruct the plane number from the detector number | |
6613 | // | |
6614 | ||
6615 | return ((Int_t) (d % 6)); | |
6616 | ||
6617 | } | |
6618 | ||
6619 | //_____________________________________________________________________________ | |
6620 | Int_t AliTRDCalibraFit::GetChamber(Int_t d) const | |
6621 | { | |
6622 | // | |
6623 | // Reconstruct the chamber number from the detector number | |
6624 | // | |
6625 | Int_t fgkNplan = 6; | |
6626 | ||
6627 | return ((Int_t) (d % 30) / fgkNplan); | |
6628 | ||
6629 | } | |
6630 | ||
6631 | //_____________________________________________________________________________ | |
6632 | Int_t AliTRDCalibraFit::GetSector(Int_t d) const | |
6633 | { | |
6634 | // | |
6635 | // Reconstruct the sector number from the detector number | |
6636 | // | |
6637 | Int_t fg = 30; | |
6638 | ||
6639 | return ((Int_t) (d / fg)); | |
6640 | ||
6641 | } | |
6642 | ||
6643 | // | |
6644 | //____________Fill and Init tree Gain, PRF, Vdrift and T0______________________ | |
6645 | // | |
6646 | ||
6647 | //_____________________________________________________________________________ | |
6648 | void AliTRDCalibraFit::InitTreePRF() | |
6649 | { | |
6650 | // | |
6651 | // Init the tree where the coefficients from the fit methods can be stored | |
6652 | // | |
6653 | ||
6654 | gDirectory = gROOT; | |
6655 | fPRFPad = new Float_t[2304]; | |
6656 | fPRF = new TTree("PRF","PRF"); | |
6657 | fPRF->Branch("detector",&fPRFDetector,"detector/I"); | |
6658 | fPRF->Branch("width" ,fPRFPad ,"width[2304]/F"); | |
6659 | ||
6660 | // Set to default value for the plane 0 supposed to be the first one | |
6661 | for (Int_t k = 0; k < 2304; k++) { | |
6662 | fPRFPad[k] = 0.515; | |
6663 | } | |
6664 | fPRFDetector = -1; | |
6665 | ||
6666 | } | |
6667 | ||
6668 | //_____________________________________________________________________________ | |
6669 | void AliTRDCalibraFit::FillTreePRF(Int_t countdet) | |
6670 | { | |
6671 | // | |
6672 | // Fill the tree with the sigma of the pad response function for the detector countdet | |
6673 | // | |
6674 | ||
6675 | Int_t numberofgroup = 0; | |
6676 | fPRFDetector = countdet; | |
6677 | fPRF->Fill(); | |
6678 | ||
6679 | if (GetChamber((Int_t)(countdet+1)) == 2) { | |
6680 | numberofgroup = 1728; | |
6681 | } | |
6682 | else { | |
6683 | numberofgroup = 2304; | |
6684 | } | |
6685 | ||
6686 | // Reset to default value for the next | |
6687 | for (Int_t k = 0; k < numberofgroup; k++) { | |
6688 | if (GetPlane((Int_t) (countdet+1)) == 0) { | |
6689 | fPRFPad[k] = 0.515; | |
6690 | } | |
6691 | if (GetPlane((Int_t) (countdet+1)) == 1) { | |
6692 | fPRFPad[k] = 0.502; | |
6693 | } | |
6694 | if (GetPlane((Int_t) (countdet+1)) == 2) { | |
6695 | fPRFPad[k] = 0.491; | |
6696 | } | |
6697 | if (GetPlane((Int_t) (countdet+1)) == 3) { | |
6698 | fPRFPad[k] = 0.481; | |
6699 | } | |
6700 | if (GetPlane((Int_t) (countdet+1)) == 4) { | |
6701 | fPRFPad[k] = 0.471; | |
6702 | } | |
6703 | if (GetPlane((Int_t) (countdet+1)) == 5) { | |
6704 | fPRFPad[k] = 0.463; | |
6705 | } | |
6706 | } | |
6707 | ||
6708 | fPRFDetector = -1; | |
6709 | ||
6710 | } | |
6711 | ||
6712 | //_____________________________________________________________________________ | |
6713 | void AliTRDCalibraFit::ConvertVectorFitCHTree() | |
6714 | { | |
6715 | // | |
6716 | // Convert the vector stuff to a tree of 1D histos if the user | |
6717 | // want to write it after the fill functions | |
6718 | // | |
6719 | ||
6720 | Int_t detector = -1; | |
6721 | Int_t numberofgroup = 1; | |
6722 | Float_t gainPad[2304]; | |
6723 | ||
6724 | fGain = new TTree("Gain","Gain"); | |
6725 | fGain->Branch("detector",&detector,"detector/I"); | |
6726 | fGain->Branch("gainPad" ,gainPad ,"gainPad[2304]/F"); | |
6727 | ||
6728 | Int_t loop = (Int_t) fVectorFitCH->GetEntriesFast(); | |
6729 | for (Int_t k = 0; k < loop; k++) { | |
6730 | detector = ((AliTRDFitCHInfo *) fVectorFitCH->At(k))->GetDetector(); | |
6731 | if (GetChamber((Int_t) ((AliTRDFitCHInfo *) fVectorFitCH->At(k))->GetDetector()) == 2) { | |
6732 | numberofgroup = 1728; | |
6733 | } | |
6734 | else { | |
6735 | numberofgroup = 2304; | |
6736 | } | |
6737 | for (Int_t i = 0; i < numberofgroup; i++) { | |
6738 | if (((AliTRDFitCHInfo *) fVectorFitCH->At(k))->GetCoef()[i] >= 0) { | |
6739 | gainPad[i] = ((AliTRDFitCHInfo *) fVectorFitCH->At(k))->GetCoef()[i] * fScaleFitFactor; | |
6740 | } | |
6741 | else { | |
6742 | gainPad[i] = (Float_t) ((AliTRDFitCHInfo *) fVectorFitCH->At(k))->GetCoef()[i]; | |
6743 | } | |
6744 | } | |
6745 | //Finish the vector | |
6746 | if(numberofgroup < 2304){ | |
6747 | for(Int_t i = numberofgroup; i < 2304; i++){ | |
6748 | gainPad[i] = -100.0; | |
6749 | } | |
6750 | } | |
6751 | fGain->Fill(); | |
6752 | } | |
6753 | ||
6754 | } | |
6755 | ||
6756 | //_____________________________________________________________________________ | |
6757 | void AliTRDCalibraFit::FillTreeVdrift(Int_t countdet) | |
6758 | { | |
6759 | // | |
6760 | // Fill the tree with the drift velocities for the detector countdet | |
6761 | // | |
6762 | ||
6763 | Int_t numberofgroup = 0; | |
6764 | fVdriftDetector = countdet; | |
6765 | ||
6766 | fVdrift->Fill(); | |
6767 | if (GetChamber((Int_t)(countdet+1)) == 2) { | |
6768 | numberofgroup = 1728; | |
6769 | } | |
6770 | else { | |
6771 | numberofgroup = 2304; | |
6772 | } | |
6773 | // Reset to default value the gain coef | |
6774 | for (Int_t k = 0; k < numberofgroup; k++) { | |
6775 | fVdriftPad[k] = -1.5; | |
6776 | } | |
6777 | fVdriftDetector = -1; | |
6778 | ||
6779 | } | |
6780 | ||
6781 | //_____________________________________________________________________________ | |
6782 | void AliTRDCalibraFit::InitTreePH() | |
6783 | { | |
6784 | // | |
6785 | // Init the tree where the coefficients from the fit methods can be stored | |
6786 | // | |
6787 | ||
6788 | gDirectory = gROOT; | |
6789 | fVdriftPad = new Float_t[2304]; | |
6790 | fVdrift = new TTree("Vdrift","Vdrift"); | |
6791 | fVdrift->Branch("detector",&fVdriftDetector,"detector/I"); | |
6792 | fVdrift->Branch("vdrift" ,fVdriftPad ,"vdrift[2304]/F"); | |
6793 | // Set to default value for the plane 0 supposed to be the first one | |
6794 | for (Int_t k = 0; k < 2304; k++) { | |
6795 | fVdriftPad[k] = -1.5; | |
6796 | } | |
6797 | fVdriftDetector = -1; | |
6798 | ||
6799 | } | |
6800 | ||
6801 | //_____________________________________________________________________________ | |
6802 | void AliTRDCalibraFit::FillTreeT0(Int_t countdet) | |
6803 | { | |
6804 | // | |
6805 | // Fill the tree with the t0 value for the detector countdet | |
6806 | // | |
6807 | ||
6808 | Int_t numberofgroup = 0; | |
6809 | ||
6810 | fT0Detector = countdet; | |
6811 | ||
6812 | fT0->Fill(); | |
6813 | if (GetChamber((Int_t) (countdet+1)) == 2) { | |
6814 | numberofgroup = 1728; | |
6815 | } | |
6816 | else { | |
6817 | numberofgroup = 2304; | |
6818 | } | |
6819 | // Reset to default value | |
6820 | for (Int_t k = 0; k < numberofgroup; k++) { | |
6821 | fT0Pad[k] = 0.0; | |
6822 | } | |
6823 | fT0Detector = -1; | |
6824 | ||
6825 | } | |
6826 | ||
6827 | //_____________________________________________________________________________ | |
6828 | void AliTRDCalibraFit::InitTreeT0() | |
6829 | { | |
6830 | // | |
6831 | // Init the tree where the coefficients from the fit methods can be stored | |
6832 | // | |
6833 | ||
6834 | gDirectory = gROOT; | |
6835 | fT0Pad = new Float_t[2304]; | |
6836 | fT0 = new TTree("T0","T0"); | |
6837 | fT0->Branch("detector",&fT0Detector,"detector/I"); | |
6838 | fT0->Branch("t0",fT0Pad,"t0[2304]/F"); | |
6839 | //Set to default value for the plane 0 supposed to be the first one | |
6840 | for(Int_t k = 0; k < 2304; k++){ | |
6841 | fT0Pad[k] = 0.0; | |
6842 | } | |
6843 | fT0Detector = -1; | |
6844 | ||
6845 | } | |
6846 | ||
6847 | // | |
6848 | //____________Private Functions________________________________________________ | |
6849 | // | |
6850 | ||
6851 | //_____________________________________________________________________________ | |
6852 | Double_t AliTRDCalibraFit::PH(Double_t *x, Double_t *par) | |
6853 | { | |
6854 | // | |
6855 | // Function for the fit | |
6856 | // | |
6857 | ||
6858 | //TF1 *fAsymmGauss = new TF1("fAsymmGauss",AsymmGauss,0,4,6); | |
6859 | ||
6860 | //PARAMETERS FOR FIT PH | |
6861 | // PASAv.4 | |
6862 | //fAsymmGauss->SetParameter(0,0.113755); | |
6863 | //fAsymmGauss->SetParameter(1,0.350706); | |
6864 | //fAsymmGauss->SetParameter(2,0.0604244); | |
6865 | //fAsymmGauss->SetParameter(3,7.65596); | |
6866 | //fAsymmGauss->SetParameter(4,1.00124); | |
6867 | //fAsymmGauss->SetParameter(5,0.870597); // No tail cancelation | |
6868 | ||
6869 | Double_t xx = x[0]; | |
6870 | ||
6871 | if (xx < par[1]) { | |
6872 | return par[5]; | |
6873 | } | |
6874 | ||
6875 | Double_t dx = 0.005; | |
6876 | Double_t xs = par[1]; | |
6877 | Double_t ss = 0.0; | |
6878 | Double_t paras[2] = { 0.0, 0.0 }; | |
6879 | ||
6880 | while (xs < xx) { | |
6881 | if ((xs >= par[1]) && | |
6882 | (xs < (par[1]+par[2]))) { | |
6883 | //fAsymmGauss->SetParameter(0,par[0]); | |
6884 | //fAsymmGauss->SetParameter(1,xs); | |
6885 | //ss += fAsymmGauss->Eval(xx); | |
6886 | paras[0] = par[0]; | |
6887 | paras[1] = xs; | |
6888 | ss += AsymmGauss(&xx,paras); | |
6889 | } | |
6890 | if ((xs >= (par[1]+par[2])) && | |
6891 | (xs < (par[1]+par[2]+par[3]))) { | |
6892 | //fAsymmGauss->SetParameter(0,par[0]*par[4]); | |
6893 | //fAsymmGauss->SetParameter(1,xs); | |
6894 | //ss += fAsymmGauss->Eval(xx); | |
6895 | paras[0] = par[0]*par[4]; | |
6896 | paras[1] = xs; | |
6897 | ss += AsymmGauss(&xx,paras); | |
6898 | } | |
6899 | xs += dx; | |
6900 | } | |
6901 | ||
6902 | return ss + par[5]; | |
6903 | ||
6904 | } | |
6905 | ||
6906 | //_____________________________________________________________________________ | |
6907 | Double_t AliTRDCalibraFit::AsymmGauss(Double_t *x, Double_t *par) | |
6908 | { | |
6909 | // | |
6910 | // Function for the fit | |
6911 | // | |
6912 | ||
6913 | //par[0] = normalization | |
6914 | //par[1] = mean | |
6915 | //par[2] = sigma | |
6916 | //norm0 = 1 | |
6917 | //par[3] = lambda0 | |
6918 | //par[4] = norm1 | |
6919 | //par[5] = lambda1 | |
6920 | ||
6921 | Double_t par1save = par[1]; | |
6922 | //Double_t par2save = par[2]; | |
6923 | Double_t par2save = 0.0604244; | |
6924 | //Double_t par3save = par[3]; | |
6925 | Double_t par3save = 7.65596; | |
6926 | //Double_t par5save = par[5]; | |
6927 | Double_t par5save = 0.870597; | |
6928 | Double_t dx = x[0] - par1save; | |
6929 | ||
6930 | Double_t sigma2 = par2save*par2save; | |
6931 | Double_t sqrt2 = TMath::Sqrt(2.0); | |
6932 | Double_t exp1 = par3save * TMath::Exp(-par3save * (dx - 0.5 * par3save * sigma2)) | |
6933 | * (1.0 - TMath::Erf((par3save * sigma2 - dx) / (sqrt2 * par2save))); | |
6934 | Double_t exp2 = par5save * TMath::Exp(-par5save * (dx - 0.5 * par5save * sigma2)) | |
6935 | * (1.0 - TMath::Erf((par5save * sigma2 - dx) / (sqrt2 * par2save))); | |
6936 | ||
6937 | //return par[0]*(exp1+par[4]*exp2); | |
6938 | return par[0] * (exp1 + 1.00124 * exp2); | |
6939 | ||
6940 | } | |
6941 | ||
6942 | //_____________________________________________________________________________ | |
6943 | Double_t AliTRDCalibraFit::FuncLandauGaus(Double_t *x, Double_t *par) | |
6944 | { | |
6945 | // | |
6946 | // Sum Landau + Gaus with identical mean | |
6947 | // | |
6948 | ||
6949 | Double_t valLandau = par[0] * TMath::Landau(x[0],par[1],par[2]); | |
6950 | //Double_t valGaus = par[3] * TMath::Gaus(x[0],par[4],par[5]); | |
6951 | Double_t valGaus = par[3] * TMath::Gaus(x[0],par[1],par[4]); | |
6952 | Double_t val = valLandau + valGaus; | |
6953 | ||
6954 | return val; | |
6955 | ||
6956 | } | |
6957 | ||
6958 | //_____________________________________________________________________________ | |
6959 | Double_t AliTRDCalibraFit::LanGauFun(Double_t *x, Double_t *par) | |
6960 | { | |
6961 | // | |
6962 | // Function for the fit | |
6963 | // | |
6964 | // Fit parameters: | |
6965 | // par[0]=Width (scale) parameter of Landau density | |
6966 | // par[1]=Most Probable (MP, location) parameter of Landau density | |
6967 | // par[2]=Total area (integral -inf to inf, normalization constant) | |
6968 | // par[3]=Width (sigma) of convoluted Gaussian function | |
6969 | // | |
6970 | // In the Landau distribution (represented by the CERNLIB approximation), | |
6971 | // the maximum is located at x=-0.22278298 with the location parameter=0. | |
6972 | // This shift is corrected within this function, so that the actual | |
6973 | // maximum is identical to the MP parameter. | |
6974 | // | |
6975 | ||
6976 | // Numeric constants | |
6977 | Double_t invsq2pi = 0.3989422804014; // (2 pi)^(-1/2) | |
6978 | Double_t mpshift = -0.22278298; // Landau maximum location | |
6979 | ||
6980 | // Control constants | |
6981 | Double_t np = 100.0; // Number of convolution steps | |
6982 | Double_t sc = 5.0; // Convolution extends to +-sc Gaussian sigmas | |
6983 | ||
6984 | // Variables | |
6985 | Double_t xx; | |
6986 | Double_t mpc; | |
6987 | Double_t fland; | |
6988 | Double_t sum = 0.0; | |
6989 | Double_t xlow; | |
6990 | Double_t xupp; | |
6991 | Double_t step; | |
6992 | Double_t i; | |
6993 | ||
6994 | // MP shift correction | |
6995 | mpc = par[1] - mpshift * par[0]; | |
6996 | ||
6997 | // Range of convolution integral | |
6998 | xlow = x[0] - sc * par[3]; | |
6999 | xupp = x[0] + sc * par[3]; | |
7000 | ||
7001 | step = (xupp - xlow) / np; | |
7002 | ||
7003 | // Convolution integral of Landau and Gaussian by sum | |
7004 | for (i = 1.0; i <= np/2; i++) { | |
7005 | ||
7006 | xx = xlow + (i-.5) * step; | |
7007 | fland = TMath::Landau(xx,mpc,par[0]) / par[0]; | |
7008 | sum += fland * TMath::Gaus(x[0],xx,par[3]); | |
7009 | ||
7010 | xx = xupp - (i-.5) * step; | |
7011 | fland = TMath::Landau(xx,mpc,par[0]) / par[0]; | |
7012 | sum += fland * TMath::Gaus(x[0],xx,par[3]); | |
7013 | ||
7014 | } | |
7015 | ||
7016 | return (par[2] * step * sum * invsq2pi / par[3]); | |
7017 | ||
7018 | } | |
7019 | ||
7020 | //_____________________________________________________________________________ | |
7021 | TF1 *AliTRDCalibraFit::LanGauFit(TH1 *his, Double_t *fitrange, Double_t *startvalues | |
7022 | , Double_t *parlimitslo, Double_t *parlimitshi | |
7023 | , Double_t *fitparams, Double_t *fiterrors | |
7024 | , Double_t *chiSqr, Int_t *ndf) | |
7025 | { | |
7026 | // | |
7027 | // Function for the fit | |
7028 | // | |
7029 | ||
7030 | Int_t i; | |
7031 | Char_t funname[100]; | |
7032 | ||
7033 | TF1 *ffitold = (TF1 *) gROOT->GetListOfFunctions()->FindObject(funname); | |
7034 | if (ffitold) { | |
7035 | delete ffitold; | |
7036 | } | |
7037 | ||
7038 | TF1 *ffit = new TF1(funname,LanGauFun,fitrange[0],fitrange[1],4); | |
7039 | ffit->SetParameters(startvalues); | |
7040 | ffit->SetParNames("Width","MP","Area","GSigma"); | |
7041 | ||
7042 | for (i = 0; i < 4; i++) { | |
7043 | ffit->SetParLimits(i,parlimitslo[i],parlimitshi[i]); | |
7044 | } | |
7045 | ||
7046 | his->Fit(funname,"RB0"); // Fit within specified range, use ParLimits, do not plot | |
7047 | ||
7048 | ffit->GetParameters(fitparams); // Obtain fit parameters | |
7049 | for (i = 0; i < 4; i++) { | |
7050 | fiterrors[i] = ffit->GetParError(i); // Obtain fit parameter errors | |
7051 | } | |
7052 | chiSqr[0] = ffit->GetChisquare(); // Obtain chi^2 | |
7053 | ndf[0] = ffit->GetNDF(); // Obtain ndf | |
7054 | ||
7055 | return (ffit); // Return fit function | |
7056 | ||
7057 | } | |
7058 | ||
7059 | //_____________________________________________________________________________ | |
7060 | Int_t AliTRDCalibraFit::LanGauPro(Double_t *params, Double_t &maxx, Double_t &fwhm) | |
7061 | { | |
7062 | // | |
7063 | // Function for the fit | |
7064 | // | |
7065 | ||
7066 | Double_t p; | |
7067 | Double_t x; | |
7068 | Double_t fy; | |
7069 | Double_t fxr; | |
7070 | Double_t fxl; | |
7071 | Double_t step; | |
7072 | Double_t l; | |
7073 | Double_t lold; | |
7074 | ||
7075 | Int_t i = 0; | |
7076 | Int_t maxcalls = 10000; | |
7077 | ||
7078 | // Search for maximum | |
7079 | p = params[1] - 0.1 * params[0]; | |
7080 | step = 0.05 * params[0]; | |
7081 | lold = -2.0; | |
7082 | l = -1.0; | |
7083 | ||
7084 | while ((l != lold) && (i < maxcalls)) { | |
7085 | i++; | |
7086 | lold = l; | |
7087 | x = p + step; | |
7088 | l = LanGauFun(&x,params); | |
7089 | if (l < lold) { | |
7090 | step = -step / 10.0; | |
7091 | } | |
7092 | p += step; | |
7093 | } | |
7094 | ||
7095 | if (i == maxcalls) { | |
7096 | return (-1); | |
7097 | } | |
7098 | maxx = x; | |
7099 | fy = l / 2.0; | |
7100 | ||
7101 | // Search for right x location of fy | |
7102 | p = maxx + params[0]; | |
7103 | step = params[0]; | |
7104 | lold = -2.0; | |
7105 | l = -1e300; | |
7106 | i = 0; | |
7107 | ||
7108 | while ( (l != lold) && (i < maxcalls) ) { | |
7109 | i++; | |
7110 | ||
7111 | lold = l; | |
7112 | x = p + step; | |
7113 | l = TMath::Abs(LanGauFun(&x,params) - fy); | |
7114 | ||
7115 | if (l > lold) | |
7116 | step = -step/10; | |
7117 | ||
7118 | p += step; | |
7119 | } | |
7120 | ||
7121 | if (i == maxcalls) | |
7122 | return (-2); | |
7123 | ||
7124 | fxr = x; | |
7125 | ||
7126 | // Search for left x location of fy | |
7127 | ||
7128 | p = maxx - 0.5 * params[0]; | |
7129 | step = -params[0]; | |
7130 | lold = -2.0; | |
7131 | l = -1.0e300; | |
7132 | i = 0; | |
7133 | ||
7134 | while ((l != lold) && (i < maxcalls)) { | |
7135 | i++; | |
7136 | lold = l; | |
7137 | x = p + step; | |
7138 | l = TMath::Abs(LanGauFun(&x,params) - fy); | |
7139 | if (l > lold) { | |
7140 | step = -step / 10.0; | |
7141 | } | |
7142 | p += step; | |
7143 | } | |
7144 | ||
7145 | if (i == maxcalls) { | |
7146 | return (-3); | |
7147 | } | |
7148 | ||
7149 | fxl = x; | |
7150 | fwhm = fxr - fxl; | |
7151 | ||
7152 | return (0); | |
7153 | ||
7154 | } | |
7155 | ||
7156 | //_____________________________________________________________________________ | |
7157 | Double_t AliTRDCalibraFit::GausConstant(Double_t *x, Double_t *par) | |
7158 | { | |
7159 | // | |
7160 | // Gaus with identical mean | |
7161 | // | |
7162 | ||
7163 | Double_t gauss = par[0] * TMath::Gaus(x[0],0.0,par[1])+par[2]; | |
7164 | ||
7165 | return gauss; | |
7166 | ||
7167 | } |