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source: trunk/MagicSoft/Mars/mcalib/MHCalibrationChargeBlindPix.cc@ 4389

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Last change on this file since 4389 was 4383, 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 02/2004 <mailto:markus@ifae.es>
19	!
20	! Copyright: MAGIC Software Development, 2000-2004
21	!
22	!
23	\* ======================================================================== */
24
25	//////////////////////////////////////////////////////////////////////////////
26	//
27	// MHCalibrationChargeBlindPix
28	//
29	// Histogram class for the charge calibration of the Blind Pixel.
30	// Stores and fits the charges and stores the averaged assumed pedestal and
31	// single-phe FADC slice entries. Charges are taken from MExtractedSignalBlindPix.
32	// Performs the Single Photo-electron fit to extract the Poisson mean and its errors.
33	//
34	// Different fits can be chosen with the function ChangeFitFunc().
35	//
36	// The fit result is accepted under the condition that:
37	// 1) the Probability is greater than fProbLimit (default 0.001 == 99.7%)
38	// 2) at least fNumSinglePheLimit events are found in the single Photo-electron peak
39	//
40	// The single FADC slice entries are averaged and stored in fASinglePheFADCSlices, if
41	// their sum exceeds fSinglePheCut, otherwise in fAPedestalFADCSlices.
42	//
43	// Used numbers are the following:
44	//
45	// Electronic conversion factor:
46	// Assume, we have N_e electrons at the anode,
47	// thus a charge of N_e*e (e = electron charge) Coulomb.
48	//
49	// This charge is AC coupled and runs into a R_pre = 50 Ohm resistency.
50	// The corresponding current is amplified by a gain factor G_pre = 400
51	// (the precision of this value still has to be checked !!!) and again AC coupled to
52	// the output.
53	// The corresponding signal goes through the whole transmission and
54	// amplification chain and is digitized in the FADCs.
55	// The conversion Signal Area to FADC counts (Conv_trans) has been measured
56	// by David and Oscar to be approx. 3.9 pVs^-1
57	//
58	// Thus: Conversion FADC counts to Number of Electrons at Anode:
59	// FADC counts = (1/Conv_tran) * G_pre * R_pre * e * N_e = 8 * 10^-4 N_e.
60	//
61	// Also: FADC counts = 810^-4 GAIN * N_phe
62	//
63	// In the blind pixel, there is an additional pre-amplifier with an amplification of
64	// about 10. Therefore, we have for the blind pixel:
65	//
66	//
67	// FADC counts (Blind Pixel) = 810^-3 GAIN * N_phe
68	//
69	//////////////////////////////////////////////////////////////////////////////
70	#include "MHCalibrationChargeBlindPix.h"
71	#include "MExtractBlindPixel.h"
72
73	#include <TStyle.h>
74	#include <TCanvas.h>
75	#include <TPaveText.h>
76
77	#include <TVector.h>
78	#include <TF1.h>
79	#include <TH1.h>
80	#include <TRandom.h>
81
82	#include "MLog.h"
83	#include "MLogManip.h"
84
85	#include "MParList.h"
86
87	#include "MRawEvtData.h"
88	#include "MRawEvtPixelIter.h"
89
90	#include "MExtractedSignalBlindPixel.h"
91	#include "MCalibrationChargeBlindPix.h"
92
93	ClassImp(MHCalibrationChargeBlindPix);
94
95	using namespace std;
96
97	const Double_t MHCalibrationChargeBlindPix::gkElectronicAmp = 0.008;
98	const Double_t MHCalibrationChargeBlindPix::gkElectronicAmpErr = 0.002;
99	const Float_t MHCalibrationChargeBlindPix::gkSignalInitializer = -9999.;
100
101	const Int_t MHCalibrationChargeBlindPix::fgChargeNbins = 512;
102	const Axis_t MHCalibrationChargeBlindPix::fgChargeFirst = -0.5;
103	const Axis_t MHCalibrationChargeBlindPix::fgChargeLast = 255.5;
104	const Float_t MHCalibrationChargeBlindPix::fgSinglePheCut = 60.;
105	const Float_t MHCalibrationChargeBlindPix::fgNumSinglePheLimit = 50.;
106	// --------------------------------------------------------------------------
107	//
108	// Default Constructor.
109	//
110	// Sets:
111	// - the default number for fNbins (fgChargeNbins)
112	// - the default number for fFirst (fgChargeFirst)
113	// - the default number for fLast (fgChargeLast)
114	// - the default number for fSinglePheCut (fgSingePheCut)
115	// - the default number for fNumSinglePheLimit (fgNumSinglePheLimit)
116	// - the default number of bins after stripping (30)
117	//
118	// - the default name of the fHGausHist ("HCalibrationChargeBlindPix")
119	// - the default title of the fHGausHist ("Distribution of Summed FADC slices Blind Pixel ")
120	// - the default x-axis title for fHGausHist ("Sum FADC Slices")
121	// - the default y-axis title for fHGausHist ("Nr. of events")
122	//
123	// Initializes:
124	// - all pointers to NULL
125	// - fASinglePheFADCSlices(0);
126	// - fAPedestalFADCSlices(0);
127	// - fPixId to 0
128	//
129	// Calls:
130	// - Clear()
131	//
132	MHCalibrationChargeBlindPix::MHCalibrationChargeBlindPix(const char name, const char title)
133	: fBlindPix(NULL), fSignal(NULL), fRawEvt(NULL),
134	fSinglePheFit(NULL),
135	fFitLegend(NULL),
136	fHSinglePheFADCSlices(NULL), fHPedestalFADCSlices(NULL)
137	{
138
139	fName = name ? name : "MHCalibrationChargeBlindPix";
140	fTitle = title ? title : "Statistics of the FADC sums of Blind Pixel calibration events";
141
142	SetNbins( fgChargeNbins );
143	SetFirst( fgChargeFirst );
144	SetLast ( fgChargeLast );
145
146	fASinglePheFADCSlices.ResizeTo(1);
147	fAPedestalFADCSlices.ResizeTo(1);
148
149	SetSinglePheCut();
150	SetNumSinglePheLimit();
151	SetProbLimit(0.001);
152	SetBinsAfterStripping(64);
153
154	fHGausHist.SetName("HCalibrationChargeBlindPix");
155	fHGausHist.SetTitle("Distribution of Summed FADC slices Blind Pixel");
156	fHGausHist.SetXTitle("Sum FADC Slices");
157	fHGausHist.SetYTitle("Nr. of events");
158
159	fPixId = 0;
160
161	Clear();
162	}
163
164	// --------------------------------------------------------------------------
165	//
166	// Default Destructor.
167	//
168	// Deletes (if Pointer is not NULL):
169	//
170	// - fSinglePheFit
171	// - fFitLegend
172	// - fHSinglePheFADCSlices
173	// - fHPedestalFADCSlices
174	//
175	MHCalibrationChargeBlindPix::~MHCalibrationChargeBlindPix()
176	{
177
178	if (fSinglePheFit)
179	delete fSinglePheFit;
180
181	if (fFitLegend)
182	delete fFitLegend;
183
184	if (fHSinglePheFADCSlices)
185	delete fHSinglePheFADCSlices;
186
187	if (fHPedestalFADCSlices)
188	delete fHPedestalFADCSlices;
189
190	}
191
192	// --------------------------------------------------------------------------
193	//
194	// Sets:
195	// - all variables to 0., except the fit result variables to gkSignalInitializer
196	// - all flags to kFALSE
197	// - all pointers to NULL
198	// - the default fit function (kEPoisson5)
199	//
200	// Deletes:
201	// - all pointers unequal NULL
202	//
203	// Calls:
204	// - MHCalibrationChargePix::Clear()
205	//
206	void MHCalibrationChargeBlindPix::Clear(Option_t *o)
207	{
208
209	fLambda = gkSignalInitializer;
210	fMu0 = gkSignalInitializer;
211	fMu1 = gkSignalInitializer;
212	fSigma0 = gkSignalInitializer;
213	fSigma1 = gkSignalInitializer;
214	fLambdaErr = gkSignalInitializer;
215	fMu0Err = gkSignalInitializer;
216	fMu1Err = gkSignalInitializer;
217	fSigma0Err = gkSignalInitializer;
218	fSigma1Err = gkSignalInitializer;
219
220	fLambdaCheck = gkSignalInitializer;
221	fLambdaCheckErr = gkSignalInitializer;
222
223	// fFitFunc = kEMichele;
224	fFitFunc = kEPoisson4;
225
226	fNumSinglePhes = 0;
227	fNumPedestals = 0;
228
229	fChisquare = 0.;
230	fNDF = 0 ;
231	fProb = 0.;
232
233	SetSinglePheFitOK ( kFALSE );
234	SetPedestalFitOK ( kFALSE );
235
236	if (fFitLegend)
237	{
238	delete fFitLegend;
239	fFitLegend = NULL;
240	}
241
242	if (fSinglePheFit)
243	{
244	delete fSinglePheFit;
245	fSinglePheFit = NULL;
246	}
247
248	if (fHSinglePheFADCSlices)
249	{
250	delete fHSinglePheFADCSlices;
251	fHSinglePheFADCSlices = NULL;
252	}
253
254	if (fHPedestalFADCSlices)
255	{
256	delete fHPedestalFADCSlices;
257	fHPedestalFADCSlices = NULL;
258	}
259
260
261	MHCalibrationChargePix::Clear();
262	return;
263	}
264
265	/*
266	// --------------------------------------------------------------------------
267	//
268	// Our own clone function is necessary since root 3.01/06 or Mars 0.4
269	// I don't know the reason.
270	//
271	// Creates new MHCalibrationCam
272	//
273	TObject MHCalibrationChargeBlindPix::Clone(const char ) const
274	{
275
276	MHCalibrationChargeBlindPix *pix = new MHCalibrationChargeBlindPix();
277	this->Copy(*pix);
278
279	this->fHGausHist.Copy(pix->fHGausHist);
280	this->fSinglePheFit->Copy(*(pix->fSinglePheFit));
281	this->fHSinglePheFADCSlices->Copy(*(pix->fHSinglePheFADCSlices));
282	this->fHPedestalFADCSlices->Copy(*(pix->fHPedestalFADCSlices));
283
284
285	return pix;
286	}
287	*/
288
289	// --------------------------------------------------------------------------
290	//
291	// Set bit kSinglePheFitOK from outside
292	//
293	void MHCalibrationChargeBlindPix::SetSinglePheFitOK (const Bool_t b )
294	{
295	b ? SETBIT(fFlags,kSinglePheFitOK) : CLRBIT(fFlags,kSinglePheFitOK);
296	}
297
298	// --------------------------------------------------------------------------
299	//
300	// Set bit kPedestalFitOK from outside
301	//
302	void MHCalibrationChargeBlindPix::SetPedestalFitOK(const Bool_t b)
303	{
304	b ? SETBIT(fFlags,kPedestalFitOK) : CLRBIT(fFlags,kPedestalFitOK);
305	}
306
307	// --------------------------------------------------------------------------
308	//
309	// Ask for status of bit kSinglePheFitOK
310	//
311	const Bool_t MHCalibrationChargeBlindPix::IsSinglePheFitOK() const
312	{
313	return TESTBIT(fFlags,kSinglePheFitOK);
314	}
315
316	// --------------------------------------------------------------------------
317	//
318	// Ask for status of bit kPedestalFitOK
319	//
320	const Bool_t MHCalibrationChargeBlindPix::IsPedestalFitOK() const
321	{
322	return TESTBIT(fFlags,kPedestalFitOK);
323	}
324
325	// --------------------------------------------------------------------------
326	//
327	// Gets the pointers to:
328	// - MRawEvtData
329	// - MExtractedSignalBlindPixel
330	//
331	// Calls:
332	// - MHGausHist::InitBins()
333	//
334	Bool_t MHCalibrationChargeBlindPix::SetupFill(const MParList *pList)
335	{
336
337	fRawEvt = (MRawEvtData*)pList->FindObject("MRawEvtData");
338	if (!fRawEvt)
339	{
340	*fLog << err << "MRawEvtData not found... aborting." << endl;
341	return kFALSE;
342	}
343
344	fSignal = (MExtractedSignalBlindPixel*)pList->FindObject("MExtractedSignalBlindPixel");
345	if (!fSignal)
346	{
347	*fLog << err << "MExtractedSignalBlindPixel not found... aborting " << endl;
348	return kFALSE;
349	}
350
351	return kTRUE;
352	}
353
354	// --------------------------------------------------------------------------
355	//
356	// Gets or creates the pointers to:
357	// - MCalibrationChargeBlindPix
358	//
359	Bool_t MHCalibrationChargeBlindPix::ReInit(MParList *pList)
360	{
361
362	fBlindPix = (MCalibrationChargeBlindPix*)pList->FindCreateObj("MCalibrationChargeBlindPix");
363	if (!fBlindPix)
364	return kFALSE;
365
366	/*
367	fExtractor = (MExtractBlindPixel*)pList->FindObject("MExtractBlindPixel");
368	if (!fExtractor)
369	{
370	*fLog << err << "MExtractBlindPixel not found... aborting " << endl;
371	return kFALSE;
372	}
373
374	const Int_t samples = fSignal->GetNumFADCSamples();
375	const Int_t integ = fExtractor->IsExtractionType( MExtractBlindPixel::kIntegral );
376
377	//
378	// Modify the histogram size in case, integrals have been used
379	//
380	if ( fLast < samplesintegfgChargeLast )
381	{
382	SetLast ( samples * 256. - 0.5 );
383	SetSinglePheCut( samples * fgSinglePheCut );
384	}
385	*/
386	SetLast ( 20. * 256. - 0.5 );
387	MHGausEvents::InitBins();
388
389	return kTRUE;
390	}
391
392	// --------------------------------------------------------------------------
393	//
394	// Retrieves from MExtractedSignalBlindPixel:
395	// - number of FADC samples
396	// - extracted signal
397	// - blind Pixel ID
398	//
399	// Resizes (if necessary):
400	// - fASinglePheFADCSlices to sum of HiGain and LoGain samples
401	// - fAPedestalFADCSlices to sum of HiGain and LoGain samples
402	//
403	// Fills the following histograms:
404	// - MHGausEvents::FillHistAndArray(signal)
405	//
406	// Creates MRawEvtPixelIter, jumps to blind pixel ID,
407	// fills the vectors fASinglePheFADCSlices and fAPedestalFADCSlices
408	// with the full FADC slices, depending on the size of the signal w.r.t. fSinglePheCut
409	//
410	Bool_t MHCalibrationChargeBlindPix::Fill(const MParContainer *par, const Stat_t w)
411	{
412
413	const Int_t samples = (Int_t)fRawEvt->GetNumHiGainSamples()+(Int_t)fRawEvt->GetNumLoGainSamples();
414
415	if (!fASinglePheFADCSlices.IsValid())
416	{
417	fASinglePheFADCSlices.ResizeTo(samples);
418	fAPedestalFADCSlices.ResizeTo(samples);
419	}
420
421	if (fASinglePheFADCSlices.GetNrows() != samples)
422	{
423	fASinglePheFADCSlices.ResizeTo(samples);
424	fAPedestalFADCSlices.ResizeTo(samples);
425	}
426
427	Float_t slices = (Float_t)fSignal->GetNumFADCSamples();
428
429	if (slices == 0.)
430	{
431	*fLog << err << "Number of used signal slices in MExtractedSignalBlindPix is zero ... abort."
432	<< endl;
433	return kFALSE;
434	}
435
436	//
437	// Signal extraction and histogram filling
438	//
439	const Float_t signal = fSignal->GetExtractedSignal(fPixId);
440	if (signal > -0.5)
441	FillHistAndArray(signal);
442	else
443	return kTRUE;
444
445	//
446	// In order to study the single-phe posistion, we extract the slices
447	//
448	const Int_t blindpixIdx = fSignal->GetBlindPixelIdx(fPixId);
449
450	MRawEvtPixelIter pixel(fRawEvt);
451	pixel.Jump(blindpixIdx);
452
453	if (signal > fSinglePheCut)
454	FillSinglePheFADCSlices(pixel);
455	else
456	FillPedestalFADCSlices(pixel);
457
458	return kTRUE;
459	}
460
461	// --------------------------------------------------------------------------
462	//
463	// Returns kFALSE, if empty
464	//
465	// - Creates the fourier spectrum and sets bit MHGausEvents::IsFourierSpectrumOK()
466	// - Retrieves the pedestals from MExtractedSignalBlindPixel
467	// - Normalizes fASinglePheFADCSlices and fAPedestalFADCSlices
468	// - Executes FitPedestal()
469	// - Executes FitSinglePhe()
470	// - Retrieves fit results and stores them in MCalibrationChargeBlindPix
471	//
472	Bool_t MHCalibrationChargeBlindPix::Finalize()
473	{
474
475	if (IsEmpty())
476	{
477	*fLog << err << GetDescriptor() << ": My histogram has not been filled !! " << endl;
478	return kFALSE;
479	}
480
481	CreateFourierSpectrum();
482	fBlindPix->SetOscillating ( !IsFourierSpectrumOK() );
483
484	fBlindPix->SetValid(kTRUE);
485
486	fMeanPedestal = fSignal->GetPed();
487	fMeanPedestalErr = fSignal->GetPedErr();
488	fSigmaPedestal = fSignal->GetPedRms();
489	fSigmaPedestalErr = fSignal->GetPedRmsErr();
490
491	if (fNumSinglePhes > 1)
492	for (Int_t i=0;i<fASinglePheFADCSlices.GetNrows();i++)
493	fASinglePheFADCSlices[i] = fASinglePheFADCSlices[i]/fNumSinglePhes;
494	if (fNumPedestals > 1)
495	for (Int_t i=0;i<fAPedestalFADCSlices.GetNrows();i++)
496	fAPedestalFADCSlices[i] = fAPedestalFADCSlices[i]/fNumPedestals;
497
498	FitPedestal();
499
500	if (FitSinglePhe())
501	fBlindPix->SetSinglePheFitOK();
502	else
503	fBlindPix->SetValid(IsPedestalFitOK());
504
505	fBlindPix->SetLambda ( fLambdaCheck );
506	fBlindPix->SetLambdaVar ( fLambdaCheckErr*fLambdaCheckErr );
507	fBlindPix->SetMu0 ( fMu0 );
508	fBlindPix->SetMu0Err ( fMu0Err );
509	fBlindPix->SetMu1 ( fMu1 );
510	fBlindPix->SetMu1Err ( fMu1Err );
511	fBlindPix->SetSigma0 ( fSigma0 );
512	fBlindPix->SetSigma0Err ( fSigma0Err );
513	fBlindPix->SetSigma1 ( fSigma1 );
514	fBlindPix->SetSigma1Err ( fSigma1Err );
515	fBlindPix->SetProb ( fProb );
516
517	fBlindPix->SetLambdaCheck ( fLambda );
518	fBlindPix->SetLambdaCheckErr ( fLambdaErr );
519
520	return kTRUE;
521	}
522
523
524	// --------------------------------------------------------------------------
525	//
526	// Checks again for the size and fills fASinglePheFADCSlices with the FADC slice entries
527	//
528	void MHCalibrationChargeBlindPix::FillSinglePheFADCSlices(const MRawEvtPixelIter &iter)
529	{
530
531	const Int_t n = iter.GetNumHiGainSamples() + iter.GetNumLoGainSamples();
532
533	if (fASinglePheFADCSlices.GetNrows() < n)
534	fASinglePheFADCSlices.ResizeTo(n);
535
536	Int_t i=0;
537
538	Byte_t *start = iter.GetHiGainSamples();
539	Byte_t *end = start + iter.GetNumHiGainSamples();
540
541	for (Byte_t *ptr = start; ptr < end; ptr++, i++)
542	fASinglePheFADCSlices(i) = fASinglePheFADCSlices(i) + (Float_t)*ptr;
543
544	start = iter.GetLoGainSamples();
545	end = start + iter.GetNumLoGainSamples();
546
547	for (Byte_t *ptr = start; ptr < end; ptr++, i++)
548	fASinglePheFADCSlices(i) = fASinglePheFADCSlices(i) + (Float_t)*ptr;
549
550	fNumSinglePhes++;
551	}
552
553	// --------------------------------------------------------------------------
554	//
555	// Checks again for the size and fills fAPedestalFADCSlices with the FADC slice entries
556	//
557	void MHCalibrationChargeBlindPix::FillPedestalFADCSlices(const MRawEvtPixelIter &iter)
558	{
559
560	const Int_t n = iter.GetNumHiGainSamples() + iter.GetNumLoGainSamples();
561
562	if (fAPedestalFADCSlices.GetNrows() < n)
563	fAPedestalFADCSlices.ResizeTo(n);
564
565	Int_t i = 0;
566	Byte_t *start = iter.GetHiGainSamples();
567	Byte_t *end = start + iter.GetNumHiGainSamples();
568
569	for (Byte_t *ptr = start; ptr < end; ptr++, i++)
570	fAPedestalFADCSlices(i) = fAPedestalFADCSlices(i)+ (Float_t)*ptr;
571
572	start = iter.GetLoGainSamples();
573	end = start + iter.GetNumLoGainSamples();
574
575	for (Byte_t *ptr = start; ptr < end; ptr++, i++)
576	fAPedestalFADCSlices(i) = fAPedestalFADCSlices(i)+ (Float_t)*ptr;
577
578	fNumPedestals++;
579	}
580
581
582	// --------------------------------------------------------------------------
583	//
584	// Task to simulate single phe spectrum with the given parameters
585	//
586	Bool_t MHCalibrationChargeBlindPix::SimulateSinglePhe(Double_t lambda, Double_t mu0, Double_t mu1, Double_t sigma0, Double_t sigma1)
587	{
588
589	gRandom->SetSeed();
590
591	if (fHGausHist.GetIntegral() != 0)
592	{
593	*fLog << err << "Histogram " << fHGausHist.GetTitle() << " is already filled. " << endl;
594	*fLog << err << "Create new class MHCalibrationBlindPixel for simulation! " << endl;
595	return kFALSE;
596	}
597
598	if (!InitFit())
599	return kFALSE;
600
601	for (Int_t i=0;i<10000; i++)
602	fHGausHist.Fill(fSinglePheFit->GetRandom());
603
604	return kTRUE;
605	}
606
607	// --------------------------------------------------------------------------
608	//
609	// - Get the ranges from the stripped histogram
610	// - choose reasonable start values for the fit
611	// - initialize the fit function depending on fFitFunc
612	// - initialize parameter names and limits depending on fFitFunc
613	//
614	Bool_t MHCalibrationChargeBlindPix::InitFit()
615	{
616
617	//
618	// Get the fitting ranges
619	//
620	Axis_t rmin = fHGausHist.GetBinCenter(fHGausHist.GetXaxis()->GetFirst());
621	Axis_t rmax = fHGausHist.GetBinCenter(fHGausHist.GetXaxis()->GetLast());
622
623	if (rmin < 0.)
624	rmin = 0.;
625
626	//
627	// First guesses for the fit (should be as close to reality as possible,
628	// otherwise the fit goes gaga because of high number of dimensions ...
629	//
630	const Stat_t entries = fHGausHist.Integral("width");
631	const Double_t lambda_guess = 0.05;
632	const Double_t maximum_bin = fHGausHist.GetBinCenter(fHGausHist.GetMaximumBin());
633	const Double_t norm = entries/TMath::Sqrt(TMath::TwoPi());
634
635	//
636	// Initialize the fit function
637	//
638	switch (fFitFunc)
639	{
640	case kEPoisson4:
641	fSinglePheFit = new TF1("SinglePheFit",&fPoissonKto4,rmin,rmax,6);
642	break;
643	case kEPoisson5:
644	fSinglePheFit = new TF1("SinglePheFit",&fPoissonKto5,rmin,rmax,6);
645	break;
646	case kEPoisson6:
647	fSinglePheFit = new TF1("SinglePheFit",&fPoissonKto6,rmin,rmax,6);
648	break;
649	case kEPolya:
650	fSinglePheFit = new TF1("SinglePheFit",&fPolya,rmin,rmax,8);
651	break;
652	case kEMichele:
653	fSinglePheFit = new TF1("SinglePheFit",&fFitFuncMichele,rmin,rmax,10);
654	break;
655	default:
656	*fLog << warn << "WARNING: Could not find Fit Function for Blind Pixel " << endl;
657	return kFALSE;
658	break;
659	}
660
661	if (!fSinglePheFit)
662	{
663	*fLog << warn << dbginf << "WARNING: Could not create fit function for Single Phe fit" << endl;
664	return kFALSE;
665	}
666
667	const Double_t mu_0_guess = maximum_bin;
668	const Double_t si_0_guess = 40.;
669	const Double_t mu_1_guess = mu_0_guess + 4000.;
670	const Double_t si_1_guess = si_0_guess + si_0_guess;
671	// Michele
672	const Double_t lambda_1cat_guess = 0.05;
673	const Double_t lambda_1dyn_guess = lambda_1cat_guess/10.;
674	const Double_t mu_1cat_guess = 1000.;
675	const Double_t mu_1dyn_guess = 2500.;
676	const Double_t si_1cat_guess = si_0_guess+ 500.;
677	const Double_t si_1dyn_guess = si_0_guess+ 1000.;
678	const Double_t offset_guess = 0.5;
679	// Polya
680	const Double_t excessPoisson_guess = 0.5;
681	const Double_t delta1_guess = 8.;
682	const Double_t delta2_guess = 5.;
683	const Double_t electronicAmp_guess = gkElectronicAmp;
684	const Double_t electronicAmp_limit = gkElectronicAmpErr;
685
686	//
687	// Initialize boundaries and start parameters
688	//
689	switch (fFitFunc)
690	{
691
692	case kEPoisson4:
693	fSinglePheFit->SetParNames( "#lambda", "#mu_{0}", "#mu_{1}", "#sigma_{0}", "#sigma_{1}","Area");
694	// fSinglePheFit->SetParameters(lambda_guess,fMeanPedestal,mu_1_guess,fSigmaPedestal,si_1_guess,norm);
695	fSinglePheFit->SetParameters(0.05,10.,75.,20.,70.,norm);
696
697	fSinglePheFit->SetParLimits(0,0.,0.5);
698	// fSinglePheFit->SetParLimits(1,
699	// fMeanPedestal-5.*fMeanPedestalErr,
700	// fMeanPedestal+5.*fMeanPedestalErr);
701	fSinglePheFit->SetParLimits(1,0.,30.);
702	// fSinglePheFit->SetParLimits(2,rmin,rmax);
703	fSinglePheFit->SetParLimits(2,50.,150.);
704	// fSinglePheFit->SetParLimits(3,
705	// fSigmaPedestal-5.*fSigmaPedestalErr,
706	// fSigmaPedestal+5.*fSigmaPedestalErr);
707	fSinglePheFit->SetParLimits(3,0.,50.);
708	// fSinglePheFit->SetParLimits(4,0.,(rmax-rmin));
709	fSinglePheFit->SetParLimits(4,0.,100.);
710	fSinglePheFit->SetParLimits(5,norm-(0.5norm),norm+(0.5norm));
711	break;
712	case kEPoisson5:
713	case kEPoisson6:
714	fSinglePheFit->SetParameters(lambda_guess,mu_0_guess,mu_1_guess,si_0_guess,si_1_guess,norm);
715	fSinglePheFit->SetParNames("#lambda","#mu_{0}","#mu_{1}","#sigma_{0}","#sigma_{1}","Area");
716	fSinglePheFit->SetParLimits(0,0.,1.);
717	fSinglePheFit->SetParLimits(1,rmin,(rmax-rmin)/1.5);
718	fSinglePheFit->SetParLimits(2,(rmax-rmin)/2.,(rmax-0.05*(rmax-rmin)));
719	fSinglePheFit->SetParLimits(3,1.0,(rmax-rmin)/2.0);
720	fSinglePheFit->SetParLimits(4,1.0,(rmax-rmin)/2.5);
721	fSinglePheFit->SetParLimits(5,norm-0.1,norm+0.1);
722	break;
723
724	case kEPolya:
725	fSinglePheFit->SetParameters(lambda_guess, excessPoisson_guess,
726	delta1_guess,delta2_guess,
727	electronicAmp_guess,
728	fSigmaPedestal,
729	norm,
730	fMeanPedestal);
731	fSinglePheFit->SetParNames("#lambda","b_{tot}",
732	"#delta_{1}","#delta_{2}",
733	"amp_{e}","#sigma_{0}",
734	"Area", "#mu_{0}");
735	fSinglePheFit->SetParLimits(0,0.,1.);
736	fSinglePheFit->SetParLimits(1,0.,1.);
737	fSinglePheFit->SetParLimits(2,6.,12.);
738	fSinglePheFit->SetParLimits(3,3.,8.);
739	fSinglePheFit->SetParLimits(4,electronicAmp_guess-electronicAmp_limit,
740	electronicAmp_guess+electronicAmp_limit);
741	fSinglePheFit->SetParLimits(5,
742	fSigmaPedestal-3.*fSigmaPedestalErr,
743	fSigmaPedestal+3.*fSigmaPedestalErr);
744	fSinglePheFit->SetParLimits(6,norm-0.1,norm+0.1);
745	fSinglePheFit->SetParLimits(7,
746	fMeanPedestal-3.*fMeanPedestalErr,
747	fMeanPedestal+3.*fMeanPedestalErr);
748	break;
749	case kEMichele:
750	fSinglePheFit->SetParameters(lambda_1cat_guess, lambda_1dyn_guess,
751	20., mu_1cat_guess,mu_1dyn_guess,
752	si_0_guess, si_1cat_guess,si_1dyn_guess,
753	norm, offset_guess);
754	fSinglePheFit->SetParNames("#lambda_{cat}","#lambda_{dyn}",
755	"#mu_{0}","#mu_{1cat}","#mu_{1dyn}",
756	"#sigma_{0}","#sigma_{1cat}","#sigma_{1dyn}",
757	"Area","offset");
758	fSinglePheFit->SetParLimits(0,0.,0.5);
759	fSinglePheFit->SetParLimits(1,0.,0.05);
760	fSinglePheFit->SetParLimits(2,0.,fSinglePheCut);
761	fSinglePheFit->SetParLimits(3,1500.,5500.);
762	fSinglePheFit->SetParLimits(4,fSinglePheCut,1500.);
763	fSinglePheFit->SetParLimits(5,0.1,fSinglePheCut/1.25);
764	fSinglePheFit->SetParLimits(6,fSinglePheCut/1.25,1000.);
765	fSinglePheFit->SetParLimits(7,1000.,1500.);
766	fSinglePheFit->SetParLimits(8,norm/1.1,norm*1.1);
767	fSinglePheFit->SetParLimits(9,0.,1.);
768	break;
769
770	default:
771	*fLog << warn << "WARNING: Could not find Fit Function for Blind Pixel " << endl;
772	return kFALSE;
773	break;
774	}
775
776	fSinglePheFit->SetRange(rmin,rmax);
777
778	return kTRUE;
779	}
780
781	// --------------------------------------------------------------------------
782	//
783	// - Retrieve the parameters depending on fFitFunc
784	// - Retrieve probability, Chisquare and NDF
785	//
786	void MHCalibrationChargeBlindPix::ExitFit()
787	{
788
789
790	//
791	// Finalize
792	//
793	switch (fFitFunc)
794	{
795
796	case kEPoisson4:
797	case kEPoisson5:
798	case kEPoisson6:
799	case kEPoisson7:
800	fLambda = fSinglePheFit->GetParameter(0);
801	fMu0 = fSinglePheFit->GetParameter(1);
802	fMu1 = fSinglePheFit->GetParameter(2);
803	fSigma0 = fSinglePheFit->GetParameter(3);
804	fSigma1 = fSinglePheFit->GetParameter(4);
805
806	fLambdaErr = fSinglePheFit->GetParError(0);
807	fMu0Err = fSinglePheFit->GetParError(1);
808	fMu1Err = fSinglePheFit->GetParError(2);
809	fSigma0Err = fSinglePheFit->GetParError(3);
810	fSigma1Err = fSinglePheFit->GetParError(4);
811	break;
812	case kEPolya:
813	fLambda = fSinglePheFit->GetParameter(0);
814	fMu0 = fSinglePheFit->GetParameter(7);
815	fMu1 = 0.;
816	fSigma0 = fSinglePheFit->GetParameter(5);
817	fSigma1 = 0.;
818
819	fLambdaErr = fSinglePheFit->GetParError(0);
820	fMu0Err = fSinglePheFit->GetParError(7);
821	fMu1Err = 0.;
822	fSigma0Err = fSinglePheFit->GetParError(5);
823	fSigma1Err = 0.;
824	case kEMichele:
825	fLambda = fSinglePheFit->GetParameter(0);
826	fMu0 = fSinglePheFit->GetParameter(2);
827	fMu1 = fSinglePheFit->GetParameter(3);
828	fSigma0 = fSinglePheFit->GetParameter(5);
829	fSigma1 = fSinglePheFit->GetParameter(6);
830
831	fLambdaErr = fSinglePheFit->GetParError(0);
832	fMu0Err = fSinglePheFit->GetParError(2);
833	fMu1Err = fSinglePheFit->GetParError(3);
834	fSigma0Err = fSinglePheFit->GetParError(5);
835	fSigma1Err = fSinglePheFit->GetParError(6);
836	break;
837	default:
838	break;
839	}
840
841	fProb = fSinglePheFit->GetProb();
842	fChisquare = fSinglePheFit->GetChisquare();
843	fNDF = fSinglePheFit->GetNDF();
844
845	*fLog << all << "Results of the Blind Pixel Fit: " << endl;
846	*fLog << all << "Chisquare: " << fChisquare << endl;
847	*fLog << all << "DoF: " << fNDF << endl;
848	*fLog << all << "Probability: " << fProb << endl;
849
850	}
851
852	// --------------------------------------------------------------------------
853	//
854	// - Executes InitFit()
855	// - Fits the fHGausHist with fSinglePheFit
856	// - Executes ExitFit()
857	//
858	// The fit result is accepted under condition:
859	// 1) The results are not nan's
860	// 2) The NDF is not smaller than fNDFLimit (5)
861	// 3) The Probability is greater than fProbLimit (default 0.001 == 99.9%)
862	// 4) at least fNumSinglePheLimit events are in the single Photo-electron peak
863	//
864	Bool_t MHCalibrationChargeBlindPix::FitSinglePhe(Option_t *opt)
865	{
866
867	if (!InitFit())
868	return kFALSE;
869
870	fHGausHist.Fit(fSinglePheFit,opt);
871
872	ExitFit();
873
874	//
875	// The fit result is accepted under condition:
876	// 1) The results are not nan's
877	// 2) The NDF is not smaller than fNDFLimit (5)
878	// 3) The Probability is greater than fProbLimit (default 0.001 == 99.9%)
879	// 4) at least fNumSinglePheLimit events are in the single Photo-electron peak
880	//
881	if ( TMath::IsNaN(fLambda)
882	\|\| TMath::IsNaN(fLambdaErr)
883	\|\| TMath::IsNaN(fProb)
884	\|\| TMath::IsNaN(fMu0)
885	\|\| TMath::IsNaN(fMu0Err)
886	\|\| TMath::IsNaN(fMu1)
887	\|\| TMath::IsNaN(fMu1Err)
888	\|\| TMath::IsNaN(fSigma0)
889	\|\| TMath::IsNaN(fSigma0Err)
890	\|\| TMath::IsNaN(fSigma1)
891	\|\| TMath::IsNaN(fSigma1Err)
892	\|\| fNDF < fNDFLimit
893	\|\| fProb < fProbLimit )
894	return kFALSE;
895
896	const Stat_t entries = fHGausHist.Integral("width");
897	const Float_t numSinglePhe = TMath::Exp(-1.0fLambda)fLambda*entries;
898
899	if (numSinglePhe < fNumSinglePheLimit)
900	{
901	*fLog << warn << "WARNING - Statistics is too low: Only " << numSinglePhe
902	<< " in the Single Photo-Electron peak " << endl;
903	return kFALSE;
904	}
905	else
906	*fLog << all << numSinglePhe << " in Single Photo-Electron peak " << endl;
907
908	SetSinglePheFitOK();
909	return kTRUE;
910	}
911
912	// --------------------------------------------------------------------------
913	//
914	// - Retrieves limits for the fit
915	// - Fits the fHGausHist with Gauss
916	// - Retrieves the results to fLambdaCheck and fLambdaCheckErr
917	// - Sets a flag IsPedestalFitOK()
918	//
919	void MHCalibrationChargeBlindPix::FitPedestal (Option_t *opt)
920	{
921
922	// Perform the cross-check fitting only the pedestal:
923	const Axis_t rmin = 0.;
924	// const Axis_t rmax = fHGausHist.GetBinCenter(fHGausHist.GetMaximumBin());
925	const Axis_t rmax = fSinglePheCut;
926
927	FitGaus(opt, rmin, rmax);
928
929	const Stat_t entries = fHGausHist.Integral("width");
930	const Double_t pedarea = fFGausFit->Integral(0.,fSinglePheCut);
931
932	fLambdaCheck = TMath::Log(entries/pedarea);
933	// estimate the error by the error of the obtained area from the Gauss-function:
934	fLambdaCheckErr = fFGausFit->GetParError(0)/fFGausFit->GetParameter(0);
935
936	SetPedestalFitOK(IsGausFitOK());
937	return;
938	}
939
940
941	// -------------------------------------------------------------------------
942	//
943	// Draw a legend with the fit results
944	//
945	void MHCalibrationChargeBlindPix::DrawLegend()
946	{
947
948	if (!fFitLegend)
949	{
950	fFitLegend = new TPaveText(0.05,0.05,0.95,0.95);
951	fFitLegend->SetLabel(Form("%s%s", "Results of the single PhE Fit (",
952	(fFitFunc == kEPoisson4) ? "Poisson(k=4))" :
953	(fFitFunc == kEPoisson5) ? "Poisson(k=5))" :
954	(fFitFunc == kEPoisson6) ? "Poisson(k=6))" :
955	(fFitFunc == kEPolya ) ? "Polya(k=4))" :
956	(fFitFunc == kEMichele ) ? "Michele)" : " none )" ));
957	fFitLegend->SetTextSize(0.05);
958	}
959	else
960	fFitLegend->Clear();
961
962	const TString line1 =
963	Form("Mean: #lambda = %2.2f #pm %2.2f",fLambda,fLambdaErr);
964	TText *t1 = fFitLegend->AddText(line1.Data());
965	t1->SetBit(kCanDelete);
966
967	const TString line6 =
968	Form("Mean #lambda (check) = %2.2f #pm %2.2f",fLambdaCheck,fLambdaCheckErr);
969	TText *t2 = fFitLegend->AddText(line6.Data());
970	t2->SetBit(kCanDelete);
971
972	const TString line2 =
973	Form("Pedestal: #mu_{0} = %2.2f #pm %2.2f",fMu0,fMu0Err);
974	TText *t3 = fFitLegend->AddText(line2.Data());
975	t3->SetBit(kCanDelete);
976
977	const TString line3 =
978	Form("Width Pedestal: #sigma_{0} = %2.2f #pm %2.2f",fSigma0,fSigma0Err);
979	TText *t4 = fFitLegend->AddText(line3.Data());
980	t4->SetBit(kCanDelete);
981
982	const TString line4 =
983	Form("1^{st} Phe-peak: #mu_{1} = %2.2f #pm %2.2f",fMu1,fMu1Err);
984	TText *t5 = fFitLegend->AddText(line4.Data());
985	t5->SetBit(kCanDelete);
986
987	const TString line5 =
988	Form("Width 1^{st} Phe-peak: #sigma_{1} = %2.2f #pm %2.2f",fSigma1,fSigma1Err);
989	TText *t6 = fFitLegend->AddText(line5.Data());
990	t6->SetBit(kCanDelete);
991
992	const TString line7 =
993	Form("#chi^{2} / N_{dof}: %4.2f / %3i",fChisquare,fNDF);
994	TText *t7 = fFitLegend->AddText(line7.Data());
995	t7->SetBit(kCanDelete);
996
997	const TString line8 =
998	Form("Probability: %4.2f ",fProb);
999	TText *t8 = fFitLegend->AddText(line8.Data());
1000	t8->SetBit(kCanDelete);
1001
1002	if (IsSinglePheFitOK())
1003	{
1004	TText *t = fFitLegend->AddText(0.,0.,"Result of the Fit: OK");
1005	t->SetBit(kCanDelete);
1006	}
1007	else
1008	{
1009	TText *t = fFitLegend->AddText("Result of the Fit: NOT OK");
1010	t->SetBit(kCanDelete);
1011	}
1012
1013	fFitLegend->SetFillColor(IsSinglePheFitOK() ? 80 : 2);
1014	fFitLegend->Draw();
1015
1016	return;
1017	}
1018
1019
1020	// -------------------------------------------------------------------------
1021	//
1022	// Draw the histogram
1023	//
1024	// The following options can be chosen:
1025	//
1026	// "": displays the fHGausHist, the legend and fASinglePheFADCSlices and fAPedestalFADCSlices
1027	// "all": executes additionally MHGausEvents::Draw(), with option "fourierevents"
1028	//
1029	void MHCalibrationChargeBlindPix::Draw(Option_t *opt)
1030	{
1031
1032	TString option(opt);
1033	option.ToLower();
1034
1035	Int_t win = 1;
1036
1037	TVirtualPad *oldpad = gPad ? gPad : MH::MakeDefCanvas(this,900, 600);
1038	TVirtualPad *pad = NULL;
1039
1040	oldpad->SetBorderMode(0);
1041
1042	if (option.Contains("all"))
1043	{
1044	option.ReplaceAll("all","");
1045	oldpad->Divide(2,1);
1046	win = 2;
1047	oldpad->cd(1);
1048	TVirtualPad *newpad = gPad;
1049	pad = newpad;
1050	pad->Divide(2,2);
1051	pad->cd(1);
1052	}
1053	else
1054	{
1055	pad = oldpad;
1056	pad->Divide(2,2);
1057	pad->cd(1);
1058	}
1059
1060	if (!IsEmpty())
1061	gPad->SetLogy();
1062
1063	gPad->SetTicks();
1064
1065	fHGausHist.Draw();
1066	if (fFGausFit)
1067	{
1068	fFGausFit->SetLineColor(kBlue);
1069	fFGausFit->Draw("same");
1070	TLine *line = new TLine(fSinglePheCut, 0., fSinglePheCut, 10.);
1071	line->SetBit(kCanDelete);
1072	line->SetLineColor(kBlue);
1073	line->SetLineWidth(3);
1074	line->DrawLine(fSinglePheCut, 0., fSinglePheCut, 2.);
1075	}
1076	if (fSinglePheFit)
1077	{
1078	fSinglePheFit->SetLineColor(IsSinglePheFitOK() ? kGreen : kRed);
1079	fSinglePheFit->Draw("same");
1080	}
1081
1082
1083	pad->cd(2);
1084	DrawLegend();
1085
1086	pad->cd(3);
1087
1088	if (fASinglePheFADCSlices.GetNrows()!=1)
1089	{
1090	if (fHSinglePheFADCSlices)
1091	delete fHSinglePheFADCSlices;
1092	fHSinglePheFADCSlices = new TH1F(fASinglePheFADCSlices);
1093	fHSinglePheFADCSlices->SetName("SinglePheFADCSlices");
1094	fHSinglePheFADCSlices->SetTitle(Form("%s%f","Assumed Single Phe FADC Slices, Sum > ",fSinglePheCut));
1095	fHSinglePheFADCSlices->SetXTitle("FADC slice number");
1096	fHSinglePheFADCSlices->SetYTitle("FADC counts");
1097	fHSinglePheFADCSlices->Draw();
1098	}
1099
1100	pad->cd(4);
1101	if (fAPedestalFADCSlices.GetNrows()!=1)
1102	{
1103
1104	if (fHPedestalFADCSlices)
1105	delete fHPedestalFADCSlices;
1106
1107	fHPedestalFADCSlices = new TH1F(fAPedestalFADCSlices);
1108	fHPedestalFADCSlices->SetName("PedestalFADCSlices");
1109	fHPedestalFADCSlices->SetTitle(Form("%s%f","Pedestal FADC Slices, Sum < ",fSinglePheCut));
1110	fHPedestalFADCSlices->SetXTitle("FADC slice number");
1111	fHPedestalFADCSlices->SetYTitle("FADC counts");
1112	fHPedestalFADCSlices->Draw();
1113	}
1114
1115	if (win < 2)
1116	return;
1117
1118	oldpad->cd(2);
1119	MHGausEvents::Draw("fourierevents");
1120	}
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