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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): Thomas Bretz 12/2000 <mailto:tbretz@atsro.uni-wuerzburh.de>
19	! Author(s): Markus Gaug 02/2004 <mailto:markus@ifae.es>
20	!
21	! Copyright: MAGIC Software Development, 2000-2004
22	!
23	!
24	\* ======================================================================== */
25
26	/////////////////////////////////////////////////////////////////////////////
27	//
28	// MHPedestalCam
29	//
30	// Fills the extracted pedestals of MExtractedSignalCam into
31	// the MHCalibrationPix-classes MHPedestalPix for every:
32	//
33	// - Pixel, stored in the TObjArray's MHCalibrationCam::fHiGainArray
34	// or MHCalibrationCam::fHiGainArray, respectively
35	//
36	// - Average pixel per AREA index (e.g. inner and outer for the MAGIC camera),
37	// stored in the TObjArray's MHCalibrationCam::fAverageHiGainAreas and
38	// MHCalibrationCam::fAverageHiGainAreas
39	//
40	// - Average pixel per camera SECTOR (e.g. sectors 1-6 for the MAGIC camera),
41	// stored in the TObjArray's MHCalibrationCam::fAverageHiGainSectors
42	// and MHCalibrationCam::fAverageHiGainSectors
43	//
44	// Every pedestal is directly taken from MExtractedSignalCam, filled by the
45	// appropriate extractor.
46	//
47	// The pedestals are filled into a histogram and an array, in order to perform
48	// a Fourier analysis (see MHGausEvents). The signals are moreover averaged on an
49	// event-by-event basis and written into the corresponding average pixels.
50	//
51	// The histograms are fitted to a Gaussian, mean and sigma with its errors
52	// and the fit probability are extracted. If none of these values are NaN's and
53	// if the probability is bigger than MHGausEvents::fProbLimit (default: 0.5%),
54	// the fit is declared valid.
55	// Otherwise, the fit is repeated within ranges of the previous mean
56	// +- MHCalibrationPix::fPickupLimit (default: 5) sigma (see MHCalibrationPix::RepeatFit())
57	// In case this does not make the fit valid, the histogram means and RMS's are
58	// taken directly (see MHCalibrationPix::BypassFit()).
59	//
60	// Outliers of more than MHCalibrationPix::fPickupLimit (default: 5) sigmas
61	// from the mean are counted as Pickup events (stored in MHCalibrationPix::fPickup)
62	//
63	// The number of summed FADC slices is taken to re-normalize
64	// the result to a pedestal per pixel with the formulas (see MHPedestalPix::Renorm()):
65	// - Mean Pedestal / slice = Mean Pedestal / Number slices
66	// - Mean Pedestal Error / slice = Mean Pedestal Error / Number slices
67	// - Sigma Pedestal / slice = Sigma Pedestal / Sqrt (Number slices)
68	// - Sigma Pedestal Error / slice = Sigma Pedestal Error / Sqrt (Number slices)
69	//
70	// The class also fills arrays with the signal vs. event number, creates a fourier
71	// spectrum (see MHGausEvents::CreateFourierSpectrum()) and investigates if the
72	// projected fourier components follow an exponential distribution.
73	//
74	// This same procedure is performed for the average pixels.
75	//
76	// The following results are written into MPedestalCam:
77	//
78	// - MCalibrationPix::SetMean()
79	// - MCalibrationPix::SetMeanErr()
80	// - MCalibrationPix::SetSigma()
81	// - MCalibrationPix::SetSigmaErr()
82	// - MCalibrationPix::SetProb()
83	// - MCalibrationPix::SetNumPickup()
84	//
85	// For all averaged areas, the fitted sigma is multiplied with the square root of
86	// the number involved pixels in order to be able to compare it to the average of
87	// sigmas in the camera.
88	//
89	/////////////////////////////////////////////////////////////////////////////
90	#include "MHPedestalCam.h"
91	#include "MHPedestalPix.h"
92
93	#include "MBadPixelsCam.h"
94	#include "MBadPixelsPix.h"
95
96	#include "MLog.h"
97	#include "MLogManip.h"
98
99	#include "MParList.h"
100
101	#include "MExtractedSignalCam.h"
102	#include "MExtractedSignalPix.h"
103
104	#include "MPedestalCam.h"
105	#include "MPedestalPix.h"
106	#include "MCalibrationPix.h"
107
108	#include "MGeomCam.h"
109	#include "MGeomPix.h"
110
111	#include "MCalibrationPedCam.h"
112
113	#include "TH1.h"
114	#include "TH1F.h"
115
116	#include <TOrdCollection.h>
117
118	ClassImp(MHPedestalCam);
119
120	using namespace std;
121
122	const Int_t MHPedestalCam::fgNbins = 100;
123	const Axis_t MHPedestalCam::fgFirst = -50.;
124	const Axis_t MHPedestalCam::fgLast = 50.;
125	const TString MHPedestalCam::gsHistName = "Pedestal";
126	const TString MHPedestalCam::gsHistTitle = "Pedestal";
127	const TString MHPedestalCam::gsHistXTitle = "Charge [FADC slices]";
128	const TString MHPedestalCam::gsHistYTitle = "Nr. events";
129	// --------------------------------------------------------------------------
130	//
131	// Default constructor.
132	//
133	// Initializes:
134	// - fExtractHiGainSlices to 0.
135	// - the event frequency to 1200 Hz.
136	// - the fRenorm flag to kFALSE
137	//
138	// - fNbins to fgNbins
139	// - fFirst to fgFirst
140	// - fLast to fgLast
141	//
142	// - fHistName to gsHistName
143	// - fHistTitle to gsHistTitle
144	// - fHistXTitle to gsHistXTitle
145	// - fHistYTitle to gsHistYTitle
146	//
147	MHPedestalCam::MHPedestalCam(const char name, const char title)
148	: fNumEvents(0), fExtractHiGainSlices(0.)
149	{
150
151	fName = name ? name : "MHPedestalCam";
152	fTitle = title ? title : "Class to fill the pedestal histograms";
153
154	SetPulserFrequency(1200);
155	SetRenorm(kTRUE);
156	SetLoGain(kFALSE);
157
158	SetNbins(fgNbins);
159	SetFirst(fgFirst);
160	SetLast (fgLast );
161
162	SetHistName (gsHistName .Data());
163	SetHistTitle (gsHistTitle .Data());
164	SetHistXTitle(gsHistXTitle.Data());
165	SetHistYTitle(gsHistYTitle.Data());
166	}
167
168	// --------------------------------------------------------------------------
169	//
170	// Calls MHCalibrationCam::ResetHists()
171	//
172	// Resets:
173	// - fSum
174	// - fSum2
175	// - fAreaSum
176	// - fAreaSum2
177	// - fAreaVal
178	// - fSectorSum
179	// - fSectorSum2
180	// - fSectorVal
181	//
182	void MHPedestalCam::ResetHists()
183	{
184
185	MHCalibrationCam::ResetHists();
186
187	fNumEvents = 0;
188
189	// If the size is yet set, set the size
190	if (fSum.GetSize()>0)
191	{
192	// Reset contents of arrays.
193	fSum.Reset();
194	fSum2.Reset();
195
196	fAreaSum. Reset();
197	fAreaSum2.Reset();
198	fAreaVal.Reset();
199
200	fSectorSum. Reset();
201	fSectorSum2.Reset();
202	fSectorVal.Reset();
203	}
204	}
205
206	// --------------------------------------------------------------------------
207	//
208	// Creates new MHCalibrationChargeCam only with the averaged areas:
209	// the rest has to be retrieved directly, e.g. via:
210	// MHPedestalCam *cam = MParList::FindObject("MHPedestalCam");
211	// - cam->GetAverageSector(5).DrawClone();
212	// - (*cam)[100].DrawClone()
213	//
214	TObject MHPedestalCam::Clone(const char ) const
215	{
216
217	MHPedestalCam *cam = new MHPedestalCam();
218
219	//
220	// Copy the data members
221	//
222	cam->fRunNumbers = fRunNumbers;
223	cam->fPulserFrequency = fPulserFrequency;
224	cam->fFlags = fFlags;
225	cam->fNbins = fNbins;
226	cam->fFirst = fFirst;
227	cam->fLast = fLast;
228
229	if (!IsAverageing())
230	return cam;
231
232	const Int_t navhi = fAverageHiGainAreas->GetSize();
233
234	for (int i=0; i<navhi; i++)
235	cam->fAverageHiGainAreas->AddAt(GetAverageHiGainArea(i).Clone(),i);
236
237	return cam;
238	}
239
240	// --------------------------------------------------------------------------
241	//
242	// Searches pointer to:
243	// - MPedestalCam
244	// - MExtractedSignalCam
245	//
246	// Searches or creates:
247	// - MCalibrationPedCam
248	//
249	// Retrieves from MExtractedSignalCam:
250	// - number of used High Gain FADC slices (MExtractedSignalCam::GetNumUsedHiGainFADCSlices())
251	//
252	// Initializes, if empty to MGeomCam::GetNumPixels():
253	// - MHCalibrationCam::fHiGainArray
254	//
255	// Initializes, if empty to MGeomCam::GetNumAreas() for:
256	// - MHCalibrationCam::fAverageHiGainAreas
257	//
258	// Initializes, if empty to MGeomCam::GetNumSectors() for:
259	// - MHCalibrationCam::fAverageHiGainSectors
260	//
261	// Calls MHCalibrationCam::InitPedHists() for every entry in:
262	// - MHCalibrationCam::fHiGainArray
263	// - MHCalibrationCam::fAverageHiGainAreas
264	// - MHCalibrationCam::fAverageHiGainSectors
265	//
266	// Sets Titles and Names for the Histograms
267	// - MHCalibrationCam::fAverageHiGainAreas
268	//
269	Bool_t MHPedestalCam::ReInitHists(MParList *pList)
270	{
271
272	MExtractedSignalCam signal = (MExtractedSignalCam)pList->FindObject("MExtractedSignalCam");
273	if (!signal)
274	{
275	*fLog << err << "Cannot find MExtractedSignalCam... abort." << endl;
276	return kFALSE;
277	}
278
279
280	fPedestals = (MPedestalCam*)pList->FindObject("MPedestalCam");
281
282	if (!fPedestals)
283	*fLog << warn << "Cannot find MPedestalCam ..." << endl;
284
285	const Int_t npixels = fGeom->GetNumPixels();
286	const Int_t nsectors = fGeom->GetNumSectors();
287	const Int_t nareas = fGeom->GetNumAreas();
288
289	fCam = (MCalibrationCam*)pList->FindObject("MCalibrationPedCam");
290	if (!fCam)
291	{
292	fCam = (MCalibrationCam*)pList->FindCreateObj(AddSerialNumber("MCalibrationPedCam"));
293	if (!fCam)
294	return kFALSE;
295
296	fCam->Init(*fGeom);
297	}
298
299	Float_t sliceshi = signal->GetNumUsedHiGainFADCSlices();
300
301	if (sliceshi == 0.)
302	{
303	*fLog << err << "Number of used signal slices in MExtractedSignalCam is zero ... abort."
304	<< endl;
305	return kFALSE;
306	}
307
308	if (fExtractHiGainSlices != 0. && sliceshi != fExtractHiGainSlices )
309	{
310	*fLog << err << "Number of used High Gain signal slices changed in MExtractedSignalCam ... abort."
311	<< endl;
312	return kFALSE;
313	}
314
315	fExtractHiGainSlices = sliceshi;
316
317	*fLog << endl;
318	*fLog << inf << GetDescriptor()
319	<< ": Number of found High Gain signal slices: " << fExtractHiGainSlices << endl;
320
321	InitHiGainArrays(npixels,nareas,nsectors);
322
323	if (fSum.GetSize()==0)
324	{
325	fSum. Set(npixels);
326	fSum2. Set(npixels);
327	fAreaSum. Set(nareas);
328	fAreaSum2. Set(nareas);
329	fAreaVal. Set(nareas);
330	fSectorSum. Set(nsectors);
331	fSectorSum2.Set(nsectors);
332	fSectorVal.Set(nsectors);
333	}
334
335	fNumEvents = 0;
336
337	return kTRUE;
338	}
339
340
341	// -------------------------------------------------------------------------------
342	//
343	// Retrieves pointer to MExtractedSignalCam:
344	//
345	// Retrieves from MGeomCam:
346	// - number of pixels
347	// - number of pixel areas
348	// - number of sectors
349	//
350	// Fills HiGain histograms (MHGausEvents::FillHistAndArray()), respectively
351	// with the signals MExtractedSignalCam::GetExtractedSignalHiGain().
352	//
353	Bool_t MHPedestalCam::FillHists(const MParContainer *par, const Stat_t w)
354	{
355
356	MExtractedSignalCam signal = (MExtractedSignalCam)par;
357	if (!signal)
358	{
359	*fLog << err << "No argument in MExtractedSignalCam::Fill... abort." << endl;
360	return kFALSE;
361	}
362
363	const UInt_t npixels = fGeom->GetNumPixels();
364	const UInt_t nareas = fGeom->GetNumAreas();
365	const UInt_t nsectors = fGeom->GetNumSectors();
366
367	MArrayF sumareahi(nareas);
368	MArrayF sumsectorhi(nsectors);
369	MArrayI numareahi(nareas);
370	MArrayI numsectorhi(nsectors);
371
372	for (UInt_t i=0; i<npixels; i++)
373	{
374
375	MHCalibrationPix &histhi = (*this)[i];
376
377	if (histhi.IsExcluded())
378	continue;
379
380	const MExtractedSignalPix &pix = (*signal)[i];
381
382	const Float_t pedhi = pix.GetExtractedSignalHiGain();
383
384	const Int_t aidx = (*fGeom)[i].GetAidx();
385	const Int_t sector = (*fGeom)[i].GetSector();
386
387	histhi.FillHistAndArray(pedhi) ;
388
389	fSum[i] += pedhi;
390	fAreaSum[aidx] += pedhi;
391	fSectorSum[sector] += pedhi;
392
393	const Float_t sqrsum = pedhi*pedhi;
394	fSum2[i] += sqrsum;
395	fAreaSum2[aidx] += sqrsum;
396	fSectorSum2[sector] += sqrsum;
397
398	sumareahi [aidx] += pedhi;
399	numareahi [aidx] ++;
400	sumsectorhi[sector] += pedhi;
401	numsectorhi[sector] ++;
402
403	}
404
405	for (UInt_t j=0; j<nareas; j++)
406	{
407	MHCalibrationPix &histhi = GetAverageHiGainArea(j);
408	histhi.FillHistAndArray(numareahi[j] == 0 ? 0. : sumareahi[j]/numareahi[j]);
409	}
410
411	for (UInt_t j=0; j<nsectors; j++)
412	{
413	MHCalibrationPix &histhi = GetAverageHiGainSector(j);
414	histhi.FillHistAndArray(numsectorhi[j] == 0 ? 0. : sumsectorhi[j]/numsectorhi[j]);
415
416	}
417
418	fNumEvents++;
419
420	return kTRUE;
421	}
422
423	// --------------------------------------------------------------------------
424	//
425	// Calls:
426	// - MHCalibrationCam::FitHiGainArrays() with Bad Pixels flags 0
427	//
428	Bool_t MHPedestalCam::FinalizeHists()
429	{
430
431	if (fNumEvents <= 1)
432	{
433	*fLog << err << GetDescriptor()
434	<< ": Number of processed events smaller or equal to 1" << endl;
435	return kFALSE;
436	}
437
438	FitHists();
439
440	if (fRenorm)
441	RenormResults();
442
443	return kTRUE;
444
445	}
446
447	void MHPedestalCam::FitHists()
448	{
449
450	for (Int_t i=0; i<fHiGainArray->GetSize(); i++)
451	{
452
453	MHCalibrationPix &hist = (*this)[i];
454	MCalibrationPix &pix = (*fCam)[i];
455
456	//
457	// 1) Store calculated means and variances in the low-gain slices
458	//
459	pix.SetLoGainMean ( fSum[i] / fNumEvents );
460	const Double_t diff = fSum2[i] - fSum[i]*fSum[i]/fNumEvents;
461	pix.SetLoGainSigma ( diff > 0. ? TMath::Sqrt( diff / (fNumEvents-1) ) : 0.);
462	pix.SetLoGainMeanVar ( pix.GetLoGainSigma() * pix.GetLoGainSigma() / fNumEvents );
463	pix.SetLoGainSigmaVar( pix.GetLoGainMeanVar() / 4. );
464
465	if (hist.IsEmpty() \|\| hist.IsOnlyOverflow() \|\| hist.IsOnlyUnderflow())
466	continue;
467
468	//
469	// 2) Fit the Hi Gain histograms with a Gaussian
470	//
471	hist.FitGaus();
472	//
473	// 3) Take histogram means and RMS
474	//
475	hist.BypassFit();
476	//
477	// 4) Check for oscillations
478	//
479	if (IsOscillations())
480	hist.CreateFourierSpectrum();
481	//
482	// 5) Retrieve the results and store them in this class
483	//
484	pix.SetHiGainMean ( hist.GetMean() );
485	pix.SetHiGainMeanVar ( hist.GetMeanErr() * hist.GetMeanErr() );
486	pix.SetHiGainRms ( hist.GetHistRms() );
487	pix.SetHiGainSigma ( hist.GetSigma() );
488	pix.SetHiGainSigmaVar ( hist.GetSigmaErr()* hist.GetSigmaErr() );
489	pix.SetHiGainProb ( hist.GetProb() );
490	pix.SetHiGainNumBlackout( hist.GetBlackout() );
491	pix.SetHiGainNumPickup ( hist.GetPickup() );
492	}
493
494	if (!IsAverageing())
495	return;
496
497	for (Int_t j=0; j<fAverageHiGainAreas->GetSize(); j++)
498	{
499
500	MHCalibrationPix &hist = GetAverageHiGainArea(j);
501	MCalibrationPix &pix = fCam->GetAverageArea(j);
502
503	if (hist.IsEmpty() \|\| hist.IsOnlyOverflow() \|\| hist.IsOnlyUnderflow())
504	continue;
505
506	//
507	// 2) Fit the Hi Gain histograms with a Gaussian
508	//
509	hist.FitGaus();
510	//
511	// 3) Take histogram means and RMS
512	//
513	hist.BypassFit();
514	//
515	// 4) Check for oscillations
516	//
517	if (IsOscillations())
518	hist.CreateFourierSpectrum();
519	//
520	// 5) Retrieve the results and store them in this class
521	//
522	pix.SetHiGainMean ( hist.GetMean() );
523	pix.SetHiGainMeanVar ( hist.GetMeanErr() * hist.GetMeanErr() );
524	pix.SetHiGainRms ( hist.GetHistRms() );
525	pix.SetHiGainSigma ( hist.GetSigma() );
526	pix.SetHiGainSigmaVar ( hist.GetSigmaErr()* hist.GetSigmaErr() );
527	pix.SetHiGainProb ( hist.GetProb() );
528	pix.SetHiGainNumBlackout( hist.GetBlackout() );
529	pix.SetHiGainNumPickup ( hist.GetPickup() );
530	//
531	// 6) Store calculated means and variances in the low-gain slices
532	//
533	const ULong_t aevts = fNumEvents * fAreaVal[j];
534	if (aevts <= 1)
535	continue;
536
537	pix.SetLoGainMean ( fAreaSum[j] / aevts );
538	const Double_t diff = fAreaSum2[j] - fAreaSum[j]*fAreaSum[j]/aevts ;
539	pix.SetLoGainSigma( diff > 0. ? TMath::Sqrt( diff / (aevts-1) ) : 0.);
540	}
541
542	for (Int_t j=0; j<fAverageHiGainSectors->GetSize(); j++)
543	{
544	MHCalibrationPix &hist = GetAverageHiGainSector(j);
545	MCalibrationPix &pix = fCam->GetAverageSector(j);
546
547	if (hist.IsEmpty() \|\| hist.IsOnlyOverflow() \|\| hist.IsOnlyUnderflow())
548	continue;
549
550	//
551	// 2) Fit the Hi Gain histograms with a Gaussian
552	//
553	hist.FitGaus();
554	//
555	// 3) Take histogram means and RMS
556	//
557	hist.BypassFit();
558	//
559	// 4) Check for oscillations
560	//
561	if (IsOscillations())
562	hist.CreateFourierSpectrum();
563	//
564	// 5) Retrieve the results and store them in this class
565	//
566	pix.SetHiGainMean ( hist.GetMean() );
567	pix.SetHiGainMeanVar ( hist.GetMeanErr() * hist.GetMeanErr() );
568	pix.SetHiGainRms ( hist.GetHistRms() );
569	pix.SetHiGainSigma ( hist.GetSigma() );
570	pix.SetHiGainSigmaVar ( hist.GetSigmaErr()* hist.GetSigmaErr() );
571	pix.SetHiGainProb ( hist.GetProb() );
572	pix.SetHiGainNumBlackout( hist.GetBlackout() );
573	pix.SetHiGainNumPickup ( hist.GetPickup() );
574	//
575	// 6) Store calculated means and variances in the low-gain slices
576	//
577	const ULong_t sevts = fNumEvents * fSectorVal[j];
578	if (sevts <= 1)
579	continue;
580
581	pix.SetLoGainMean ( fSectorSum[j] / sevts );
582	const Double_t diff = fSectorSum2[j] - fSectorSum[j]*fSectorSum[j]/sevts ;
583	pix.SetLoGainSigma( diff > 0. ? TMath::Sqrt( diff / (sevts-1) ) : 0.);
584	}
585	}
586
587	// --------------------------------------------------------------------------
588	//
589	// Renormalizes the pedestal fit results by the following formulae:
590	//
591	// - Mean Pedestal / slice -> Mean Pedestal / Number slices
592	// - Mean Pedestal Error / slice -> Mean Pedestal Error / Number slices
593	// - Sigma Pedestal / slice -> Sigma Pedestal / Sqrt (Number slices)
594	// - Sigma Pedestal Error / slice -> Sigma Pedestal Error / Sqrt (Number slices)
595	//
596	void MHPedestalCam::RenormResults()
597	{
598
599	//
600	// One never knows...
601	//
602	if (fExtractHiGainSlices <= 0)
603	return;
604
605	const Float_t sqslices = TMath::Sqrt(fExtractHiGainSlices);
606
607	for (Int_t i=0; i<fHiGainArray->GetSize(); i++)
608	{
609
610	MCalibrationPix &pix = (*fCam)[i];
611	pix.SetHiGainMean ( pix.GetHiGainMean() / fExtractHiGainSlices );
612	pix.SetLoGainMean ( pix.GetLoGainMean() / fExtractHiGainSlices );
613	//
614	// Mean error goes with PedestalRMS/Sqrt(entries) -> scale with sqrt(slices)
615	//
616	pix.SetHiGainMeanVar ( pix.GetHiGainMeanVar() / fExtractHiGainSlices );
617	pix.SetLoGainMeanVar ( pix.GetHiGainMeanVar() / fExtractHiGainSlices );
618	//
619	// Sigma goes like PedestalRMS -> scale with sqrt(slices)
620	//
621	pix.SetHiGainSigma ( pix.GetHiGainSigma() / sqslices );
622	pix.SetLoGainSigma ( pix.GetLoGainSigma() / sqslices );
623	//
624	// Sigma error goes like PedestalRMS/2.(entries) -> scale with sqrt(slices)
625	//
626	pix.SetHiGainSigmaVar ( pix.GetHiGainSigmaVar() / fExtractHiGainSlices );
627	pix.SetLoGainSigmaVar ( pix.GetLoGainSigmaVar() / fExtractHiGainSlices );
628	}
629
630	if (!IsAverageing())
631	return;
632
633	for (Int_t j=0; j<fAverageHiGainAreas->GetSize(); j++)
634	{
635
636	MCalibrationPix &pix = fCam->GetAverageArea(j);
637	pix.SetHiGainMean ( pix.GetHiGainMean() / fExtractHiGainSlices );
638	pix.SetLoGainMean ( pix.GetLoGainMean() / fExtractHiGainSlices );
639	pix.SetHiGainMeanVar ( pix.GetHiGainMeanVar() / fExtractHiGainSlices );
640	pix.SetHiGainSigma ( pix.GetHiGainSigma() / sqslices );
641	pix.SetLoGainSigma ( pix.GetLoGainSigma() / sqslices );
642	pix.SetHiGainSigmaVar ( pix.GetHiGainSigmaVar() / fExtractHiGainSlices );
643	}
644
645	for (Int_t j=0; j<fAverageHiGainSectors->GetSize(); j++)
646	{
647	MCalibrationPix &pix = fCam->GetAverageSector(j);
648	pix.SetHiGainMean ( pix.GetHiGainMean() / fExtractHiGainSlices );
649	pix.SetLoGainMean ( pix.GetLoGainMean() / fExtractHiGainSlices );
650	pix.SetHiGainMeanVar ( pix.GetHiGainMeanVar() / fExtractHiGainSlices );
651	pix.SetHiGainSigma ( pix.GetHiGainSigma() / sqslices );
652	pix.SetLoGainSigma ( pix.GetLoGainSigma() / sqslices );
653	pix.SetHiGainSigmaVar ( pix.GetHiGainSigmaVar() / fExtractHiGainSlices );
654	}
655
656	}
657
658
659	// ------------------------------------------------------------------
660	//
661	// The types are as follows:
662	//
663	// Fitted values:
664	// ==============
665	//
666	// 0: Fitted Charge
667	// 1: Error of fitted Charge
668	// 2: Sigma of fitted Charge
669	// 3: Error of Sigma of fitted Charge
670	//
671	//
672	// Useful variables derived from the fit results:
673	// =============================================
674	//
675	// 4: Returned probability of Gauss fit to Charge distribution
676	// 5: Relative differenc of calculated pedestal (per slice) and fitted (per slice)
677	// 6: Error of the Relative differenc of calculated pedestal (per slice) and fitted (per slice)
678	// 7: Relative difference of the error of the mean pedestal (per slice) - calculated and fitted
679	// 8: Relative differenc of calculated pedestal RMS (per slice) and fitted sigma (per slice)
680	// 9: Error of Relative differenc of calculated pedestal RMS (per slice) and fitted sigma (per slice)
681	// 10: Relative difference of the error of the pedestal RMS (per slice) - calculated and fitted
682	//
683	// Localized defects:
684	// ==================
685	//
686	// 11: Gaus fit not OK
687	// 12: Fourier spectrum not OK
688	//
689	Bool_t MHPedestalCam::GetPixelContent(Double_t &val, Int_t idx, const MGeomCam &cam, Int_t type) const
690	{
691
692	if (fHiGainArray->GetSize() <= idx)
693	return kFALSE;
694
695	if ((*this)[idx].IsExcluded())
696	return kFALSE;
697
698	const Float_t ped = (*fPedestals)[idx].GetPedestal();
699	const Float_t rms = (*fPedestals)[idx].GetPedestalRms();
700
701	const Float_t entsqr = TMath::Sqrt((Float_t)fPedestals->GetTotalEntries());
702
703	const Float_t pederr = rms/entsqr;
704	const Float_t rmserr = rms/entsqr/2.;
705
706	const Float_t mean = (*this)[idx].GetMean();
707	const Float_t meanerr = (*this)[idx].GetMeanErr();
708	const Float_t sigma = (*this)[idx].GetSigma() ;
709	const Float_t sigmaerr = (*this)[idx].GetSigmaErr();
710
711	switch (type)
712	{
713	case 0:
714	val = mean;
715	break;
716	case 1:
717	val = meanerr;
718	break;
719	case 2:
720	val = sigma;
721	break;
722	case 3:
723	val = sigmaerr;
724	break;
725	case 4:
726	val = (*this)[idx].GetProb();
727	break;
728	case 5:
729	val = 2.*(mean-ped)/(ped+mean);
730	break;
731	case 6:
732	val = TMath::Sqrt((pederrpederr + meanerrmeanerr) * (pedped + meanmean))
733	*2./(ped+mean)/(ped+mean);
734	break;
735	case 7:
736	val = 2.*(meanerr-pederr)/(pederr + meanerr);
737	break;
738	case 8:
739	val = 2.*(sigma-rms)/(sigma+rms);
740	break;
741	case 9:
742	val = TMath::Sqrt((rmserrrmserr + sigmaerrsigmaerr) * (rmsrms + sigmasigma))
743	*2./(rms+sigma)/(rms+sigma);
744	break;
745	case 10:
746	val = 2.*(sigmaerr - rmserr)/(sigmaerr + rmserr);
747	break;
748	case 11:
749	if (!(*this)[idx].IsGausFitOK())
750	val = 1.;
751	break;
752	case 12:
753	if (!(*this)[idx].IsFourierSpectrumOK())
754	val = 1.;
755	break;
756	default:
757	return kFALSE;
758	}
759	return kTRUE;
760	}
761
762	// --------------------------------------------------------------------------
763	//
764	// Calls MHGausEvents::DrawClone() for pixel idx
765	//
766	void MHPedestalCam::DrawPixelContent(Int_t idx) const
767	{
768	(*this)[idx].DrawClone();
769	}

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