source: trunk/MagicSoft/Mars/mcalib/MHCalibrationPixel.cc@ 2877

Last change on this file since 2877 was 2852, checked in by gaug, 21 years ago
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1/* ======================================================================== *\
2!
3! *
4! * This file is part of MARS, the MAGIC Analysis and Reconstruction
5! * Software. It is distributed to you in the hope that it can be a useful
6! * and timesaving tool in analysing Data of imaging Cerenkov telescopes.
7! * It is distributed WITHOUT ANY WARRANTY.
8! *
9! * Permission to use, copy, modify and distribute this software and its
10! * documentation for any purpose is hereby granted without fee,
11! * provided that the above copyright notice appear in all copies and
12! * that both that copyright notice and this permission notice appear
13! * in supporting documentation. It is provided "as is" without express
14! * or implied warranty.
15! *
16!
17!
18! Author(s): Markus Gaug 11/2003 <mailto:markus@ifae.es>
19!
20! Copyright: MAGIC Software Development, 2000-2002
21!
22!
23\* ======================================================================== */
24
25//////////////////////////////////////////////////////////////////////////////
26// //
27// MHCalibrationPixel //
28// //
29// Performs all the necessary fits to extract the mean number of photons //
30// out of the derived light flux //
31// //
32//////////////////////////////////////////////////////////////////////////////
33#include "MHCalibrationPixel.h"
34#include "MHCalibrationConfig.h"
35
36#include <TStyle.h>
37#include <TMath.h>
38
39#include <TFitter.h>
40#include <TGraph.h>
41#include <TAxis.h>
42
43#include <TF1.h>
44#include <TH2.h>
45#include <TProfile.h>
46#include <TCanvas.h>
47#include <TPad.h>
48#include <TPaveText.h>
49
50#include "MParList.h"
51
52#include "MLog.h"
53#include "MLogManip.h"
54
55ClassImp(MHCalibrationPixel);
56
57using namespace std;
58
59// --------------------------------------------------------------------------
60//
61// Default Constructor.
62//
63MHCalibrationPixel::MHCalibrationPixel(const char *name, const char *title)
64 : fPixId(-1),
65 fTotalEntries(0),
66 fHiGains(NULL),
67 fLoGains(NULL),
68 fChargeGausFit(NULL),
69 fTimeGausFit(NULL),
70 fHivsLoGain(NULL),
71 fFitLegend(NULL),
72 fLowerFitRange(-2000.),
73 fChargeFirstHiGain(-2000.5),
74 fChargeLastHiGain(9999.5),
75 fChargeNbinsHiGain(12000),
76 fChargeFirstLoGain(-2000.5),
77 fChargeLastLoGain(9999.5),
78 fChargeNbinsLoGain(1200),
79 fChargeChisquare(-1.),
80 fChargeProb(-1.),
81 fChargeNdf(-1),
82 fTimeChisquare(-1.),
83 fTimeProb(-1.),
84 fTimeNdf(-1),
85 fTimeMean(-1.),
86 fTimeSigma(-1.),
87 fTimeLowerFitRangeHiGain(0),
88 fTimeUpperFitRangeHiGain(0),
89 fTimeLowerFitRangeLoGain(0),
90 fTimeUpperFitRangeLoGain(0),
91 fUseLoGain(kFALSE),
92 fFitOK(kFALSE),
93 fOffset(0.),
94 fSlope(0.)
95{
96
97 fName = name ? name : "MHCalibrationPixel";
98 fTitle = title ? title : "Fill the accumulated charges and times of all events and perform fits";
99
100 // Create a large number of bins, later we will rebin
101 fHChargeHiGain = new TH1F("HChargeHiGain","Distribution of Summed FADC Hi Gain Slices Pixel ",
102 fChargeNbinsHiGain,fChargeFirstHiGain,fChargeLastHiGain);
103 fHChargeHiGain->SetXTitle("Sum FADC Slices (Hi Gain)");
104 fHChargeHiGain->SetYTitle("Nr. of events");
105 fHChargeHiGain->Sumw2();
106
107 fHChargeHiGain->SetDirectory(NULL);
108
109 fHChargeLoGain = new TH1F("HChargeLoGain","Distribution of Summed FADC Lo Gain Slices Pixel ",
110 fChargeNbinsLoGain,fChargeFirstLoGain,fChargeLastLoGain);
111 fHChargeLoGain->SetXTitle("Sum FADC Slices (Lo Gain)");
112 fHChargeLoGain->SetYTitle("Nr. of events");
113 fHChargeLoGain->Sumw2();
114
115 fHChargeLoGain->SetDirectory(NULL);
116
117 Axis_t tfirst = -0.5;
118 Axis_t tlast = 15.5;
119 Int_t ntbins = 16;
120
121 fHTimeHiGain = new TH1I("HTimeHiGain","Distribution of Mean Arrival Hi Gain Times Pixel ",
122 ntbins,tfirst,tlast);
123 fHTimeHiGain->SetXTitle("Mean Arrival Times [Hi Gain FADC slice nr]");
124 fHTimeHiGain->SetYTitle("Nr. of events");
125 fHTimeHiGain->SetDirectory(NULL);
126
127 fHTimeLoGain = new TH1I("HTimeLoGain","Distribution of Mean Arrival Lo Gain Times Pixel ",
128 ntbins,tfirst,tlast);
129 fHTimeLoGain->SetXTitle("Mean Arrival Times [Lo Gain FADC slice nr]");
130 fHTimeLoGain->SetYTitle("Nr. of events");
131 fHTimeLoGain->SetDirectory(NULL);
132
133 // We define a reasonable number and later enlarge it if necessary
134 Int_t nqbins = 20000;
135 Axis_t nfirst = -0.5;
136 Axis_t nlast = (Axis_t)nqbins - 0.5;
137
138 fHChargevsNHiGain = new TH1I("HChargevsNHiGain","Sum of Hi Gain Charges vs. Event Number Pixel ",
139 nqbins,nfirst,nlast);
140 fHChargevsNHiGain->SetXTitle("Event Nr.");
141 fHChargevsNHiGain->SetYTitle("Sum of Hi Gain FADC slices");
142
143 fHChargevsNHiGain->SetDirectory(NULL);
144
145 fHChargevsNLoGain = new TH1I("HChargevsNLoGain","Sum of Lo Gain Charges vs. Event Number Pixel ",
146 nqbins,nfirst,nlast);
147 fHChargevsNLoGain->SetXTitle("Event Nr.");
148 fHChargevsNLoGain->SetYTitle("Sum of Lo Gain FADC slices");
149
150 fHChargevsNLoGain->SetDirectory(NULL);
151
152 fHiGains = new TArrayF();
153 fLoGains = new TArrayF();
154
155}
156
157MHCalibrationPixel::~MHCalibrationPixel()
158{
159
160 delete fHChargeHiGain;
161 delete fHTimeHiGain;
162 delete fHChargevsNHiGain;
163
164 delete fHChargeLoGain;
165 delete fHTimeLoGain;
166 delete fHChargevsNLoGain;
167
168 delete fHiGains;
169 delete fLoGains;
170
171 if (fChargeGausFit)
172 delete fChargeGausFit;
173 if (fTimeGausFit)
174 delete fTimeGausFit;
175 if (fFitLegend)
176 delete fFitLegend;
177 if (fHivsLoGain)
178 delete fHivsLoGain;
179
180
181}
182
183
184void MHCalibrationPixel::ChangeHistId(Int_t id)
185{
186
187 fPixId = id;
188
189 //
190 // Names Hi gain Histograms
191 //
192 TString nameQHiGain = TString(fHChargeHiGain->GetName());
193 nameQHiGain += id;
194 fHChargeHiGain->SetName(nameQHiGain.Data());
195
196 TString nameTHiGain = TString(fHTimeHiGain->GetName());
197 nameTHiGain += id;
198 fHTimeHiGain->SetName(nameTHiGain.Data());
199
200 TString nameQvsNHiGain = TString(fHChargevsNHiGain->GetName());
201 nameQvsNHiGain += id;
202 fHChargevsNHiGain->SetName(nameQvsNHiGain.Data());
203
204 //
205 // Title Hi gain Histograms
206 //
207 TString titleQHiGain = TString(fHChargeHiGain->GetTitle());
208 titleQHiGain += id;
209 fHChargeHiGain->SetTitle(titleQHiGain.Data());
210
211 TString titleTHiGain = TString(fHTimeHiGain->GetTitle());
212 titleTHiGain += id;
213 fHTimeHiGain->SetTitle(titleTHiGain.Data());
214
215 TString titleQvsNHiGain = TString(fHChargevsNHiGain->GetTitle());
216 titleQvsNHiGain += id;
217 fHChargevsNHiGain->SetTitle(titleQvsNHiGain.Data());
218
219 //
220 // Names Low Gain Histograms
221 //
222 TString nameQLoGain = TString(fHChargeLoGain->GetName());
223 nameQLoGain += id;
224 fHChargeLoGain->SetName(nameQLoGain.Data());
225
226 TString nameTLoGain = TString(fHTimeLoGain->GetName());
227 nameTLoGain += id;
228 fHTimeLoGain->SetName(nameTLoGain.Data());
229
230 TString nameQvsNLoGain = TString(fHChargevsNLoGain->GetName());
231 nameQvsNLoGain += id;
232 fHChargevsNLoGain->SetName(nameQvsNLoGain.Data());
233
234 //
235 // Titles Low Gain Histograms
236 //
237 TString titleQLoGain = TString(fHChargeLoGain->GetTitle());
238 titleQLoGain += id;
239 fHChargeLoGain->SetTitle(titleQLoGain.Data());
240
241 TString titleTLoGain = TString(fHTimeLoGain->GetTitle());
242 titleTLoGain += id;
243 fHTimeLoGain->SetTitle(titleTLoGain.Data());
244
245 TString titleQvsNLoGain = TString(fHChargevsNLoGain->GetTitle());
246 titleQvsNLoGain += id;
247 fHChargevsNLoGain->SetTitle(titleQvsNLoGain.Data());
248}
249
250
251void MHCalibrationPixel::Reset()
252{
253
254 for (Int_t i = fHChargeHiGain->FindBin(fChargeFirstHiGain);
255 i <= fHChargeHiGain->FindBin(fChargeLastHiGain); i++)
256 fHChargeHiGain->SetBinContent(i, 1.e-20);
257
258 for (Int_t i = 0; i < 16; i++)
259 fHTimeHiGain->SetBinContent(i, 1.e-20);
260
261 fChargeLastHiGain = 9999.5;
262
263 fHChargeHiGain->GetXaxis()->SetRangeUser(0.,fChargeLastHiGain);
264
265 for (Int_t i = fHChargeLoGain->FindBin(fChargeFirstLoGain);
266 i <= fHChargeLoGain->FindBin(fChargeLastLoGain); i++)
267 fHChargeLoGain->SetBinContent(i, 1.e-20);
268
269 for (Int_t i = 0; i < 16; i++)
270 fHTimeLoGain->SetBinContent(i, 1.e-20);
271
272 fChargeLastLoGain = 9999.5;
273
274 fHChargeLoGain->GetXaxis()->SetRangeUser(0.,fChargeLastLoGain);
275
276 return;
277}
278
279
280Bool_t MHCalibrationPixel::UseLoGain()
281{
282
283 if (fHChargeHiGain->Integral() > fHChargeLoGain->Integral())
284 {
285 fUseLoGain = kFALSE;
286 return kFALSE;
287 }
288 else
289 {
290 fUseLoGain = kTRUE;
291 return kTRUE;
292 }
293}
294
295void MHCalibrationPixel::SetPointInGraph(Float_t qhi,Float_t qlo)
296{
297
298 fHiGains->Set(++fTotalEntries);
299 fLoGains->Set(fTotalEntries);
300
301 fHiGains->AddAt(qhi,fTotalEntries-1);
302 fLoGains->AddAt(qlo,fTotalEntries-1);
303
304}
305
306
307// -------------------------------------------------------------------------
308//
309// Draw a legend with the fit results
310//
311void MHCalibrationPixel::DrawLegend()
312{
313
314 fFitLegend = new TPaveText(0.05,0.05,0.95,0.95);
315
316 if (fFitOK)
317 fFitLegend->SetFillColor(80);
318 else
319 fFitLegend->SetFillColor(2);
320
321 fFitLegend->SetLabel("Results of the Gauss Fit:");
322 fFitLegend->SetTextSize(0.05);
323
324 const TString line1 =
325 Form("Mean: Q_{#mu} = %2.2f #pm %2.2f",fChargeMean,fChargeMeanErr);
326
327 fFitLegend->AddText(line1);
328
329
330 const TString line4 =
331 Form("Sigma: #sigma_{Q} = %2.2f #pm %2.2f",fChargeSigma,fChargeSigmaErr);
332
333 fFitLegend->AddText(line4);
334
335
336 const TString line7 =
337 Form("#chi^{2} / N_{dof}: %4.2f / %3i",fChargeChisquare,fChargeNdf);
338
339 fFitLegend->AddText(line7);
340
341
342 const TString line8 =
343 Form("Probability: %4.3f ",fChargeProb);
344
345 fFitLegend->AddText(line8);
346
347 if (fFitOK)
348 fFitLegend->AddText("Result of the Fit: OK");
349 else
350 fFitLegend->AddText("Result of the Fit: NOT OK");
351
352 fFitLegend->SetBit(kCanDelete);
353 fFitLegend->Draw();
354
355}
356
357
358// -------------------------------------------------------------------------
359//
360// Draw the histogram
361//
362void MHCalibrationPixel::Draw(Option_t *opt)
363{
364
365 if (!fHivsLoGain)
366 FitHiGainvsLoGain();
367
368 gStyle->SetOptFit(0);
369 gStyle->SetOptStat(1111111);
370
371 TCanvas *c = MakeDefCanvas(this,600,900);
372
373 gROOT->SetSelectedPad(NULL);
374
375 c->Divide(2,4);
376
377 c->cd(1);
378 gPad->SetBorderMode(0);
379 gPad->SetTicks();
380
381 if (fHChargeHiGain->Integral() > 0)
382 gPad->SetLogy(1);
383 else
384 gPad->SetLogy(0);
385
386 fHChargeHiGain->DrawCopy(opt);
387
388 c->Modified();
389 c->Update();
390
391 if (fUseLoGain)
392 {
393
394 c->cd(2);
395 gPad->SetTicks();
396
397 if (fHChargeLoGain->Integral() > 0)
398 gPad->SetLogy(1);
399 else
400 gPad->SetLogy(0);
401
402 fHChargeLoGain->DrawCopy(opt);
403
404 if (fChargeGausFit)
405 {
406 if (fFitOK)
407 fChargeGausFit->SetLineColor(kGreen);
408 else
409 fChargeGausFit->SetLineColor(kRed);
410
411 fChargeGausFit->DrawCopy("same");
412 }
413 c->Modified();
414 c->Update();
415
416 c->cd(3);
417 gROOT->SetSelectedPad(NULL);
418 gStyle->SetOptFit();
419 fHivsLoGain->Draw("prof");
420
421 gPad->Modified();
422 gPad->Update();
423
424 c->cd(4);
425 DrawLegend();
426
427 }
428 else
429 {
430 if (fChargeGausFit)
431 {
432 if (fFitOK)
433 fChargeGausFit->SetLineColor(kGreen);
434 else
435 fChargeGausFit->SetLineColor(kRed);
436
437 fChargeGausFit->DrawCopy("same");
438 }
439
440 c->cd(2);
441 gPad->SetTicks();
442
443 if (fHChargeLoGain->Integral() > 0)
444 gPad->SetLogy(1);
445 else
446 gPad->SetLogy(0);
447
448 fHChargeLoGain->DrawCopy(opt);
449 c->Modified();
450 c->Update();
451
452 c->cd(3);
453 DrawLegend();
454
455 c->cd(4);
456
457 gROOT->SetSelectedPad(NULL);
458 gStyle->SetOptFit();
459 fHivsLoGain->Draw("prof");
460 gPad->Modified();
461 gPad->Update();
462 }
463
464 c->Modified();
465 c->Update();
466
467 c->cd(5);
468 gStyle->SetOptStat(1111111);
469
470 gPad->SetTicks();
471 gPad->SetLogy(0);
472 fHTimeHiGain->DrawCopy(opt);
473 c->Modified();
474 c->Update();
475
476 if (fUseLoGain)
477 {
478
479 c->cd(6);
480 gPad->SetTicks();
481 gPad->SetLogy(0);
482 fHTimeLoGain->DrawCopy(opt);
483 c->Modified();
484 c->Update();
485
486 if (fTimeGausFit)
487 {
488 if (fTimeChisquare > 20.)
489 fTimeGausFit->SetLineColor(kRed);
490 else
491 fTimeGausFit->SetLineColor(kGreen);
492
493 fTimeGausFit->DrawCopy("same");
494 c->Modified();
495 c->Update();
496 }
497 }
498 else
499 {
500 if (fTimeGausFit)
501 {
502 if (fTimeChisquare > 20.)
503 fTimeGausFit->SetLineColor(kRed);
504 else
505 fTimeGausFit->SetLineColor(kGreen);
506
507 fTimeGausFit->DrawCopy("same");
508 c->Modified();
509 c->Update();
510 }
511
512 c->cd(6);
513 gPad->SetTicks();
514 gPad->SetLogy(0);
515 fHTimeLoGain->DrawCopy(opt);
516 c->Modified();
517 c->Update();
518
519 }
520 c->Modified();
521 c->Update();
522
523 c->cd(7);
524 gPad->SetTicks();
525 fHChargevsNHiGain->DrawCopy(opt);
526 c->Modified();
527 c->Update();
528
529 c->cd(8);
530 gPad->SetTicks();
531 fHChargevsNLoGain->DrawCopy(opt);
532 c->Modified();
533 c->Update();
534
535
536}
537
538void MHCalibrationPixel::FitHiGainvsLoGain()
539{
540
541 if (fHivsLoGain)
542 return;
543
544 gStyle->SetOptFit();
545
546 fHivsLoGain = new TProfile("HiGainvsLoGain","Plot the High Gain vs. Low Gain",100,0.,1000.,0.,1000.);
547 fHivsLoGain->GetXaxis()->SetTitle("Sum of Charges High Gain");
548 fHivsLoGain->GetYaxis()->SetTitle("Sum of Charges Low Gain");
549
550 TString titleHiLoGain = TString(fHivsLoGain->GetName());
551 titleHiLoGain += fPixId;
552 fHivsLoGain->SetName(titleHiLoGain.Data());
553
554
555 for (Int_t i=0;i<fTotalEntries;i++)
556 fHivsLoGain->Fill(fHiGains->At(i),fLoGains->At(i),1);
557
558 fHivsLoGain->Fit("pol1","rq","",fHivsLoGain->GetMean()-2.5*fHivsLoGain->GetRMS(),fHivsLoGain->GetMean()+2.*fHivsLoGain->GetRMS());
559
560 fOffset = fHivsLoGain->GetFunction("pol1")->GetParameter(0);
561 fSlope = fHivsLoGain->GetFunction("pol1")->GetParameter(1);
562
563}
564
565
566Bool_t MHCalibrationPixel::FitTimeHiGain(Axis_t rmin, Axis_t rmax, Option_t *option)
567{
568
569 if (fTimeGausFit)
570 return kFALSE;
571
572 rmin = (rmin != 0.) ? rmin : (Axis_t)fTimeLowerFitRangeHiGain;
573 rmax = (rmax != 0.) ? rmax : (Axis_t)fTimeUpperFitRangeHiGain;
574
575 const Stat_t entries = fHTimeHiGain->Integral();
576 const Double_t mu_guess = fHTimeHiGain->GetBinCenter(fHTimeHiGain->GetMaximumBin());
577 const Double_t sigma_guess = (rmax - rmin)/2.;
578 const Double_t area_guess = entries/gkSq2Pi;
579
580 TString name = TString("GausTime");
581 name += fPixId;
582 fTimeGausFit = new TF1(name.Data(),"gaus",rmin,rmax);
583
584 if (!fTimeGausFit)
585 {
586 *fLog << warn << dbginf << "WARNING: Could not create fit function for Time fit" << endl;
587 return kFALSE;
588 }
589
590 fTimeGausFit->SetParameters(area_guess,mu_guess,sigma_guess);
591 fTimeGausFit->SetParNames("Area","#mu","#sigma");
592 fTimeGausFit->SetParLimits(0,0.,entries);
593 fTimeGausFit->SetParLimits(1,rmin,rmax);
594 fTimeGausFit->SetParLimits(2,0.,(rmax-rmin));
595 fTimeGausFit->SetRange(rmin,rmax);
596
597 fHTimeHiGain->Fit(fTimeGausFit,option);
598
599 rmin = fTimeGausFit->GetParameter(1) - 3.*fTimeGausFit->GetParameter(2);
600 rmax = fTimeGausFit->GetParameter(1) + 3.*fTimeGausFit->GetParameter(2);
601 fTimeGausFit->SetRange(rmin,rmax);
602
603 fHTimeHiGain->Fit(fTimeGausFit,option);
604
605 fTimeChisquare = fTimeGausFit->GetChisquare();
606 fTimeNdf = fTimeGausFit->GetNDF();
607 fTimeProb = fTimeGausFit->GetProb();
608
609 fTimeMean = fTimeGausFit->GetParameter(1);
610 fTimeSigma = fTimeGausFit->GetParameter(2);
611
612 if (fTimeChisquare > 20.) // Cannot use Probability because Ndf is sometimes < 1
613 return kFALSE;
614
615 return kTRUE;
616
617}
618
619Bool_t MHCalibrationPixel::FitTimeLoGain(Axis_t rmin, Axis_t rmax, Option_t *option)
620{
621
622 if (fTimeGausFit)
623 return kFALSE;
624
625 rmin = (rmin != 0.) ? rmin : (Axis_t)fTimeLowerFitRangeLoGain;
626 rmax = (rmax != 0.) ? rmax : (Axis_t)fTimeUpperFitRangeLoGain;
627
628 const Stat_t entries = fHTimeLoGain->Integral();
629 const Double_t mu_guess = fHTimeLoGain->GetBinCenter(fHTimeLoGain->GetMaximumBin());
630 const Double_t sigma_guess = (rmax - rmin)/2.;
631 const Double_t area_guess = entries/gkSq2Pi;
632
633 TString name = TString("GausTime");
634 name += fPixId;
635 fTimeGausFit = new TF1(name.Data(),"gaus",rmin,rmax);
636
637 if (!fTimeGausFit)
638 {
639 *fLog << warn << dbginf << "WARNING: Could not create fit function for Time fit" << endl;
640 return kFALSE;
641 }
642
643 fTimeGausFit->SetParameters(area_guess,mu_guess,sigma_guess);
644 fTimeGausFit->SetParNames("Area","#mu","#sigma");
645 fTimeGausFit->SetParLimits(0,0.,entries);
646 fTimeGausFit->SetParLimits(1,rmin,rmax);
647 fTimeGausFit->SetParLimits(2,0.,(rmax-rmin));
648 fTimeGausFit->SetRange(rmin,rmax);
649
650 fHTimeLoGain->Fit(fTimeGausFit,option);
651
652 rmin = fTimeGausFit->GetParameter(1) - 3.*fTimeGausFit->GetParameter(2);
653 rmax = fTimeGausFit->GetParameter(1) + 3.*fTimeGausFit->GetParameter(2);
654 fTimeGausFit->SetRange(rmin,rmax);
655
656 fHTimeLoGain->Fit(fTimeGausFit,option);
657
658 fTimeChisquare = fTimeGausFit->GetChisquare();
659 fTimeNdf = fTimeGausFit->GetNDF();
660 fTimeProb = fTimeGausFit->GetProb();
661
662 fTimeMean = fTimeGausFit->GetParameter(1);
663 fTimeSigma = fTimeGausFit->GetParameter(2);
664
665 if (fTimeChisquare > 20.) // Cannot use Probability because Ndf is sometimes < 1
666 {
667 *fLog << warn << "WARNING: Fit of the Arrival times failed ! " << endl;
668 return kFALSE;
669 }
670
671 return kTRUE;
672
673}
674
675Bool_t MHCalibrationPixel::FitChargeHiGain(Option_t *option)
676{
677
678 if (fChargeGausFit)
679 return kFALSE;
680
681 //
682 // Get the fitting ranges
683 //
684 Axis_t rmin = (fLowerFitRange != 0.) ? fLowerFitRange : fChargeFirstHiGain;
685 Axis_t rmax = 0.;
686
687 //
688 // First guesses for the fit (should be as close to reality as possible,
689 // otherwise the fit goes gaga because of high number of dimensions ...
690 //
691 const Stat_t entries = fHChargeHiGain->Integral();
692 const Double_t area_guess = entries/gkSq2Pi;
693 const Double_t mu_guess = fHChargeHiGain->GetBinCenter(fHChargeHiGain->GetMaximumBin());
694 const Double_t sigma_guess = mu_guess/15.;
695
696 TString name = TString("ChargeGausFit");
697 name += fPixId;
698
699 fChargeGausFit = new TF1(name.Data(),"gaus",rmin,fChargeLastHiGain);
700
701 if (!fChargeGausFit)
702 {
703 *fLog << warn << dbginf << "WARNING: Could not create fit function for Gauss fit" << endl;
704 return kFALSE;
705 }
706
707 fChargeGausFit->SetParameters(area_guess,mu_guess,sigma_guess);
708 fChargeGausFit->SetParNames("Area","#mu","#sigma");
709 fChargeGausFit->SetParLimits(0,0.,entries);
710 fChargeGausFit->SetParLimits(1,rmin,fChargeLastHiGain);
711 fChargeGausFit->SetParLimits(2,0.,fChargeLastHiGain-rmin);
712 fChargeGausFit->SetRange(rmin,fChargeLastHiGain);
713
714 fHChargeHiGain->Fit(fChargeGausFit,option);
715
716 Axis_t rtry = fChargeGausFit->GetParameter(1) - 2.0*fChargeGausFit->GetParameter(2);
717
718 rmin = (rtry < rmin ? rmin : rtry);
719 rmax = fChargeGausFit->GetParameter(1) + 3.5*fChargeGausFit->GetParameter(2);
720 fChargeGausFit->SetRange(rmin,rmax);
721
722 fHChargeHiGain->Fit(fChargeGausFit,option);
723
724 fChargeChisquare = fChargeGausFit->GetChisquare();
725 fChargeNdf = fChargeGausFit->GetNDF();
726 fChargeProb = fChargeGausFit->GetProb();
727 fChargeMean = fChargeGausFit->GetParameter(1);
728 fChargeMeanErr = fChargeGausFit->GetParError(1);
729 fChargeSigma = fChargeGausFit->GetParameter(2);
730 fChargeSigmaErr = fChargeGausFit->GetParError(2);
731
732 //
733 // The fit result is accepted under condition
734 // The Probability is greater than gkProbLimit (default 0.001 == 99.9%)
735 //
736 if (fChargeProb < gkProbLimit)
737 {
738 *fLog << warn << "WARNING: Fit Probability " << fChargeProb
739 << " is smaller than the allowed value: " << gkProbLimit << endl;
740 fFitOK = kFALSE;
741 return kFALSE;
742 }
743
744 fFitOK = kTRUE;
745 return kTRUE;
746}
747
748
749Bool_t MHCalibrationPixel::FitChargeLoGain(Option_t *option)
750{
751
752 if (fChargeGausFit)
753 return kFALSE;
754
755 //
756 // Get the fitting ranges
757 //
758 Axis_t rmin = (fLowerFitRange != 0.) ? fLowerFitRange : fChargeFirstLoGain;
759 Axis_t rmax = 0.;
760
761 //
762 // First guesses for the fit (should be as close to reality as possible,
763 // otherwise the fit goes gaga because of high number of dimensions ...
764 //
765 const Stat_t entries = fHChargeLoGain->Integral();
766 const Double_t area_guess = entries/gkSq2Pi;
767 const Double_t mu_guess = fHChargeLoGain->GetBinCenter(fHChargeLoGain->GetMaximumBin());
768 const Double_t sigma_guess = mu_guess/15.;
769
770 TString name = TString("ChargeGausFit");
771 name += fPixId;
772
773 fChargeGausFit = new TF1(name.Data(),"gaus",rmin,fChargeLastLoGain);
774
775 if (!fChargeGausFit)
776 {
777 *fLog << warn << dbginf << "WARNING: Could not create fit function for Charges fit" << endl;
778 return kFALSE;
779 }
780
781 fChargeGausFit->SetParameters(area_guess,mu_guess,sigma_guess);
782 fChargeGausFit->SetParNames("Area","#mu","#sigma");
783 fChargeGausFit->SetParLimits(0,0.,entries);
784 fChargeGausFit->SetParLimits(1,rmin,fChargeLastLoGain);
785 fChargeGausFit->SetParLimits(2,0.,fChargeLastLoGain-rmin);
786 fChargeGausFit->SetRange(rmin,fChargeLastLoGain);
787
788 fHChargeLoGain->Fit(fChargeGausFit,option);
789
790 Axis_t rtry = fChargeGausFit->GetParameter(1) - 2.*fChargeGausFit->GetParameter(2);
791
792 rmin = (rtry < rmin ? rmin : rtry);
793 rmax = fChargeGausFit->GetParameter(1) + 3.5*fChargeGausFit->GetParameter(2);
794 fChargeGausFit->SetRange(rmin,rmax);
795
796 fHChargeLoGain->Fit(fChargeGausFit,option);
797
798 // rmin = fChargeGausFit->GetParameter(1) - 2.5*fChargeGausFit->GetParameter(2);
799 // rmax = fChargeGausFit->GetParameter(1) + 2.5*fChargeGausFit->GetParameter(2);
800 // fChargeGausFit->SetRange(rmin,rmax);
801
802 // fHChargeLoGain->Fit(fChargeGausFit,option);
803
804 fChargeChisquare = fChargeGausFit->GetChisquare();
805 fChargeNdf = fChargeGausFit->GetNDF();
806 fChargeProb = fChargeGausFit->GetProb();
807 fChargeMean = fChargeGausFit->GetParameter(1);
808 fChargeMeanErr = fChargeGausFit->GetParError(1);
809 fChargeSigma = fChargeGausFit->GetParameter(2);
810 fChargeSigmaErr = fChargeGausFit->GetParError(2);
811
812 //
813 // The fit result is accepted under condition
814 // The Probability is greater than gkProbLimit (default 0.01 == 99%)
815 //
816 if (fChargeProb < gkProbLimit)
817 {
818 *fLog << warn << "WARNING: Fit Probability " << fChargeProb
819 << " is smaller than the allowed value: " << gkProbLimit << endl;
820 fFitOK = kFALSE;
821 return kFALSE;
822 }
823
824
825 fFitOK = kTRUE;
826
827 return kTRUE;
828}
829
830
831void MHCalibrationPixel::CutAllEdges()
832{
833
834 Int_t nbins = 30;
835
836 CutEdges(fHChargeHiGain,nbins);
837
838 fChargeFirstHiGain = fHChargeHiGain->GetBinLowEdge(fHChargeHiGain->GetXaxis()->GetFirst());
839 fChargeLastHiGain = fHChargeHiGain->GetBinLowEdge(fHChargeHiGain->GetXaxis()->GetLast())
840 +fHChargeHiGain->GetBinWidth(0);
841 fChargeNbinsHiGain = nbins;
842
843 CutEdges(fHChargeLoGain,nbins);
844
845 fChargeFirstLoGain = fHChargeLoGain->GetBinLowEdge(fHChargeLoGain->GetXaxis()->GetFirst());
846 fChargeLastLoGain = fHChargeLoGain->GetBinLowEdge(fHChargeLoGain->GetXaxis()->GetLast())
847 +fHChargeLoGain->GetBinWidth(0);
848 fChargeNbinsLoGain = nbins;
849
850 CutEdges(fHChargevsNHiGain,0);
851 CutEdges(fHChargevsNLoGain,0);
852
853}
854
855void MHCalibrationPixel::PrintChargeFitResult()
856{
857
858 *fLog << all << "Results of the Summed Charges Fit: " << endl;
859 *fLog << all << "Chisquare: " << fChargeChisquare << endl;
860 *fLog << all << "DoF: " << fChargeNdf << endl;
861 *fLog << all << "Probability: " << fChargeProb << endl;
862 *fLog << all << endl;
863
864}
865
866void MHCalibrationPixel::PrintTimeFitResult()
867{
868
869 *fLog << all << "Results of the Time Slices Fit: " << endl;
870 *fLog << all << "Chisquare: " << fTimeChisquare << endl;
871 *fLog << all << "Ndf: " << fTimeNdf << endl;
872 *fLog << all << "Probability: " << fTimeProb << endl;
873 *fLog << all << endl;
874
875}
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