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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, 2000-2004
21	!
22	!
23	\* ======================================================================== */
24	/////////////////////////////////////////////////////////////////////////////
25	//
26	// MCalibrationChargeCam
27	//
28	// Storage container for charge calibration results from the signal distribution
29	// fits (see MHCalibrationChargeCam and MHCalibrationChargePix), the calculation
30	// of reduced sigmas and number of photo-electrons (this class) and conversion
31	// factors sum FADC slices to photo-electrons (see MCalibrationChargeCalc)
32	//
33	// Individual pixels have to be cast when retrieved e.g.:
34	// MCalibrationChargePix &avpix = (MCalibrationChargePix&)(*fChargeCam)[i]
35	//
36	// Averaged values over one whole area index (e.g. inner or outer pixels for
37	// the MAGIC camera), can be retrieved via:
38	// MCalibrationChargePix &avpix = (MCalibrationChargePix&)fChargeCam->GetAverageArea(i)
39	//
40	// Averaged values over one whole camera sector can be retrieved via:
41	// MCalibrationChargePix &avpix = (MCalibrationChargePix&)fChargeCam->GetAverageSector(i)
42	//
43	// Note the averageing has been done on an event-by-event basis. Resulting
44	// Sigma's of the Gauss fit have been multiplied with the square root of the number
45	// of involved pixels in order to make a direct comparison possible with the mean of
46	// sigmas.
47	//
48	// Final numbers of uncalibrated or unreliable pixels can be retrieved via the commands:
49	// GetNumUncalibrated(aidx) and GetNumUnreliable(aidx) where aidx is the area index (0 for
50	// inner and 1 for outer pixels in the MAGIC camera).
51	//
52	// The following "calibration" constants are used for the calibration of each pixel
53	// (see MCalibrate):
54	//
55	// - MCalibrationQEPix::GetMeanConvFADC2Phe(): The mean conversion factor from the
56	// summed FADC slices to the number of photo-electrons (in first order independent
57	// on colour and intensity)
58	// - MCalibrationQEPix::GetMeanFFactorFADC2Phot(): The mean F-Factor of the total
59	// readout chain dividing the signal to noise of the incoming number of photons
60	// (= sqrt(number photons)) by the signal to noise of the outgoing summed FADC slices
61	// signal (= MCalibrationPix::GetMean() / MCalibrationChargePix::GetRSigma() )
62	//
63	// The following calibration constants can be retrieved directly from this class:
64	//
65	// - GetConversionFactorFFactor ( Int_t idx, Float_t &mean, Float_t &err, Float_t &sigma );
66	//
67	// where:
68	// - idx is the pixel software ID
69	// - "mean" is the mean conversion constant, to be multiplied with the retrieved signal
70	// in order to get a calibrated number of PHOTONS.
71	// - "err" is the pure statistical uncertainty about the MEAN
72	// - "sigma", if mulitplied with the square root of signal, gives the approximate sigma of the
73	// retrieved mean number of incident Cherenkov photons.
74	//
75	// Note, Conversion is ALWAYS (included the F-Factor method!) from summed FADC slices to PHOTONS.
76	//
77	// See also: MCalibrationChargePix, MCalibrationChargeCalc, MCalibrationQECam
78	// MHCalibrationChargePix, MHCalibrationChargeCam
79	// MCalibrationBlindPix, MCalibrationChargePINDiode
80	//
81	/////////////////////////////////////////////////////////////////////////////
82	#include "MCalibrationChargeCam.h"
83	#include "MCalibrationChargePix.h"
84
85	#include <TOrdCollection.h>
86	#include <TH1D.h>
87	#include <TF1.h>
88
89	#include "MLog.h"
90	#include "MLogManip.h"
91
92	#include "MGeomCam.h"
93	#include "MGeomPix.h"
94
95	#include "MBadPixelsCam.h"
96	#include "MBadPixelsPix.h"
97
98	#include "MCalibrationQECam.h"
99	#include "MCalibrationQEPix.h"
100
101	#include "MHCamera.h"
102
103	ClassImp(MCalibrationChargeCam);
104
105	using namespace std;
106	// --------------------------------------------------------------------------
107	//
108	// Default constructor.
109	//
110	// Calls:
111	// - Clear()
112	//
113	MCalibrationChargeCam::MCalibrationChargeCam(const char name, const char title)
114	{
115	fName = name ? name : "MCalibrationChargeCam";
116	fTitle = title ? title : "Storage container for the Calibration Information in the camera";
117
118	Clear();
119	}
120
121	/*
122	// --------------------------------------------------------------------------
123	//
124	// Creates new MCalibrationCam only for the averaged areas:
125	// the rest has to be retrieved directly, e.g. via:
126	//
127	TObject MCalibrationChargeCam::Clone(const char ) const
128	{
129
130	//
131	// FIXME, this might be done faster and more elegant, by direct copy.
132	//
133	MCalibrationChargeCam *cam = new MCalibrationChargeCam(fName,fTitle);
134
135	cam->fNumUnsuitable = fNumUnsuitable;
136	cam->fNumUnreliable = fNumUnreliable;
137	cam->fNumHiGainFADCSlices = fNumHiGainFADCSlices;
138	cam->fNumLoGainFADCSlices = fNumLoGainFADCSlices;
139	cam->fPulserColor = fPulserColor;
140
141	cam->fFlags = fFlags;
142
143	cam->fNumPhotonsBlindPixelMethod = fNumPhotonsBlindPixelMethod;
144	cam->fNumPhotonsFFactorMethod = fNumPhotonsFFactorMethod;
145	cam->fNumPhotonsPINDiodeMethod = fNumPhotonsPINDiodeMethod;
146	cam->fNumPhotonsBlindPixelMethodErr = fNumPhotonsBlindPixelMethodErr;
147	cam->fNumPhotonsFFactorMethodErr = fNumPhotonsFFactorMethodErr;
148	cam->fNumPhotonsPINDiodeMethodErr = fNumPhotonsPINDiodeMethodErr;
149
150	for (Int_t i=0; i<GetSize(); i++)
151	cam->fPixels->AddAt((*this)[i].Clone(),i);
152
153	for (Int_t i=0; i<GetAverageAreas(); i++)
154	{
155	cam->fAverageAreas->AddAt(GetAverageArea(i).Clone(),i);
156	cam->fAverageBadAreas->AddAt(GetAverageBadArea(i).Clone(),i);
157	}
158	for (Int_t i=0; i<GetAverageSectors(); i++)
159	{
160	cam->fAverageSectors->AddAt(GetAverageSector(i).Clone(),i);
161	cam->fAverageBadSectors->AddAt(GetAverageBadSector(i).Clone(),i);
162	}
163
164	return cam;
165	}
166	*/
167
168	// -------------------------------------------------------------------
169	//
170	// Add MCalibrationChargePix's in the ranges from - to to fPixels
171	//
172	void MCalibrationChargeCam::Add(const UInt_t a, const UInt_t b)
173	{
174	for (UInt_t i=a; i<b; i++)
175	{
176	fPixels->AddAt(new MCalibrationChargePix,i);
177	(*this)[i].SetPixId(i);
178	}
179	}
180
181	// -------------------------------------------------------------------
182	//
183	// Add MCalibrationChargePix's in the ranges from - to to fAverageAreas
184	//
185	void MCalibrationChargeCam::AddArea(const UInt_t a, const UInt_t b)
186	{
187	for (UInt_t i=a; i<b; i++)
188	{
189	fAverageAreas->AddAt(new MCalibrationChargePix,i);
190	GetAverageArea(i).SetPixId(i);
191	}
192	}
193
194	// -------------------------------------------------------------------
195	//
196	// Add MCalibrationChargePix's in the ranges from - to to fAverageSectors
197	//
198	void MCalibrationChargeCam::AddSector(const UInt_t a, const UInt_t b)
199	{
200	for (UInt_t i=a; i<b; i++)
201	{
202	fAverageSectors->AddAt(new MCalibrationChargePix,i);
203	GetAverageSector(i).SetPixId(i);
204	}
205	}
206
207
208	// --------------------------------------
209	//
210	// Sets all variable to 0.
211	// Sets all flags to kFALSE
212	// Calls MCalibrationCam::Clear()
213	//
214	void MCalibrationChargeCam::Clear(Option_t *o)
215	{
216
217	SetFFactorMethodValid ( kFALSE );
218
219	fNumPhotonsBlindPixelMethod = 0.;
220	fNumPhotonsFFactorMethod = 0.;
221	fNumPhotonsPINDiodeMethod = 0.;
222	fNumPhotonsBlindPixelMethodErr = 0.;
223	fNumPhotonsFFactorMethodErr = 0.;
224	fNumPhotonsPINDiodeMethodErr = 0.;
225
226	MCalibrationCam::Clear();
227
228	return;
229	}
230
231	// -----------------------------------------------
232	//
233	// Sets the kFFactorMethodValid bit from outside
234	//
235	void MCalibrationChargeCam::SetFFactorMethodValid(const Bool_t b)
236	{
237	b ? SETBIT(fFlags, kFFactorMethodValid) : CLRBIT(fFlags, kFFactorMethodValid);
238	}
239
240
241	// --------------------------------------------------------------------------
242	//
243	// Test bit kFFactorMethodValid
244	//
245	Bool_t MCalibrationChargeCam::IsFFactorMethodValid() const
246	{
247	return TESTBIT(fFlags,kFFactorMethodValid);
248	}
249
250	// --------------------------------------------------------------------------
251	//
252	// Copy High-gain vs. low-gain conversion factors from cam to this.
253	//
254	Bool_t MCalibrationChargeCam::MergeHiLoConversionFactors(const MCalibrationChargeCam &cam) const
255	{
256
257	if (GetSize() != cam.GetSize())
258	{
259	*fLog << warn << "Sizes mismatch! Cannot merge high-gain vs. low-gain convertion factors" << endl;
260	return kFALSE;
261	}
262
263	for (Int_t i=0; i<GetSize(); i++)
264	{
265	((MCalibrationChargePix&)(*this)[i]).SetConversionHiLo (((MCalibrationChargePix&)cam[i]).GetConversionHiLo());
266	((MCalibrationChargePix&)(*this)[i]).SetConversionHiLoErr(((MCalibrationChargePix&)cam[i]).GetConversionHiLoErr());
267	}
268
269	return kTRUE;
270	}
271
272	// --------------------------------------------------------------------------
273	//
274	// Print first the well fitted pixels
275	// and then the ones which are not FitValid
276	//
277	void MCalibrationChargeCam::Print(Option_t *o) const
278	{
279
280	*fLog << all << GetDescriptor() << ":" << endl;
281	int id = 0;
282
283	*fLog << all << "Calibrated pixels:" << endl;
284	*fLog << all << endl;
285
286	TIter Next(fPixels);
287	MCalibrationChargePix *pix;
288	while ((pix=(MCalibrationChargePix*)Next()))
289	{
290
291	if (pix->IsFFactorMethodValid())
292	{
293
294	*fLog << all
295	<< Form("%s%3i","Pixel: ",pix->GetPixId())
296	<< Form("%s%4.2f%s%4.2f"," Ped.Rms: ",pix->GetPedRms(),"+-",pix->GetPedRmsErr())
297	<< Form("%s%4.2f%s%4.2f"," Charge: " ,pix->GetConvertedMean(),"+-",pix->GetConvertedSigma())
298	<< Form("%s%4.2f%s%4.2f"," Red.Sigma: ",pix->GetConvertedRSigma(),"+-",pix->GetConvertedRSigmaErr())
299	<< Form("%s%4.2f%s%4.2f"," Num.Phes: ",pix->GetPheFFactorMethod(),"+-",pix->GetPheFFactorMethodErr())
300	<< Form("%s%4.2f%s%4.2f"," Conv.FADC2Phe: ",pix->GetMeanConvFADC2Phe(),"+-",pix->GetMeanConvFADC2PheErr())
301	<< " Saturated? :" << pix->IsHiGainSaturation()
302	<< Form("%s%4.2f%s%4.2f"," Conv.HiLo: ",pix->GetConversionHiLo(),"+-",pix->GetConversionHiLoErr())
303	<< endl;
304	id++;
305	}
306	}
307
308	*fLog << all << id << " pixels" << endl;
309	id = 0;
310
311
312	*fLog << all << endl;
313	*fLog << all << "Previously Excluded pixels:" << endl;
314	*fLog << all << endl;
315
316	id = 0;
317
318	TIter Next4(fPixels);
319	while ((pix=(MCalibrationChargePix*)Next4()))
320	{
321	if (pix->IsExcluded())
322	{
323	*fLog << all << pix->GetPixId() << " ";
324	id++;
325
326	if (!(id % 25))
327	*fLog << endl;
328	}
329	}
330
331	*fLog << all << endl;
332	*fLog << all << "New Excluded pixels:" << endl;
333	*fLog << all << endl;
334
335	TIter Next5(fPixels);
336	while ((pix=(MCalibrationChargePix*)Next5()))
337	{
338	if (!pix->IsFFactorMethodValid() && !pix->IsExcluded())
339	{
340	*fLog << all << pix->GetPixId() << " ";
341	id++;
342
343	if (!(id % 25))
344	*fLog << endl;
345	}
346	}
347
348	*fLog << endl;
349	*fLog << all << id << " Excluded pixels " << endl;
350	*fLog << endl;
351
352	*fLog << all << endl;
353	*fLog << all << "Averaged Areas:" << endl;
354	*fLog << all << endl;
355
356	TIter Next6(fAverageAreas);
357	while ((pix=(MCalibrationChargePix*)Next6()))
358	{
359	*fLog << all << Form("%s%3i","Area Idx: ",pix->GetPixId())
360	<< " Ped. Rms: " << pix->GetPedRms() << " +- " << pix->GetPedRmsErr()
361	<< " Mean signal: " << pix->GetMean() << " +- " << pix->GetMeanErr()
362	<< " Sigma signal: " << pix->GetSigma() << " +- "<< pix->GetSigmaErr()
363	<< " Reduced Sigma: " << pix->GetRSigma()
364	<< " Nr Phe's: " << pix->GetPheFFactorMethod()
365	<< endl;
366	}
367
368	*fLog << all << endl;
369	*fLog << all << "Averaged Sectors:" << endl;
370	*fLog << all << endl;
371
372	TIter Next7(fAverageSectors);
373	while ((pix=(MCalibrationChargePix*)Next7()))
374	{
375	*fLog << all << Form("%s%3i","Sector: ",pix->GetPixId())
376	<< " Ped. Rms: " << pix->GetPedRms() << " +- " << pix->GetPedRmsErr()
377	<< " Mean signal: " << pix->GetMean() << " +- " << pix->GetMeanErr()
378	<< " Sigma signal: " << pix->GetSigma() << " +- "<< pix->GetSigmaErr()
379	<< " Reduced Sigma: " << pix->GetRSigma()
380	<< " Nr Phe's: " << pix->GetPheFFactorMethod()
381	<< endl;
382	}
383	*fLog << all << endl;
384	}
385
386
387	// --------------------------------------------------------------------------
388	//
389	// The types are as follows:
390	//
391	// Fitted values:
392	// ==============
393	//
394	// 0: Fitted Charge (see MCalibrationPix::GetMean())
395	// 1: Error of fitted Charge (see MCalibrationPix::GetMeanErr())
396	// 2: Sigma of fitted Charge (see MCalibrationPix::GetSigma())
397	// 3: Error of Sigma of fitted Charge (see MCalibrationPix::GetSigmaErr())
398	//
399	// Useful variables derived from the fit results:
400	// =============================================
401	//
402	// 4: Probability Gauss fit Charge distribution (see MCalibrationPix::GetProb())
403	// 5: Reduced Sigma of fitted Charge (see MCalibrationChargePix::GetRSigma())
404	// 6: Error Reduced Sigma of fitted Charge (see MCalibrationChargePix::GetRSigmaErr())
405	// 7: Reduced Sigma per Charge (see MCalibrationChargePix::GetRSigmaPerCharge())
406	// 8: Error of Reduced Sigma per Charge (see MCalibrationChargePix::GetRSigmaPerChargeErr())
407	//
408	// Results of the F-Factor calibration Method:
409	// ===========================================
410	//
411	// 9: Nr. Photo-electrons from F-Factor Method (see MCalibrationChargePix::GetPheFFactorMethod())
412	// 10: Error Nr. Photo-el. from F-Factor Method (see MCalibrationChargePix::GetPheFFactorMethodErr())
413	// 11: Conversion factor from F-Factor Method (see MCalibrationChargePix::GetMeanConvFADC2Phe()
414	// 12: Error conv. factor from F-Factor Method (see MCalibrationChargePix::GetMeanConvFADC2PheErr()
415	// 13: Overall F-Factor from F-Factor Method (see MCalibrationChargePix::GetMeanFFactorFADC2Phot()
416	// 14: Error F-Factor from F-Factor Method (see MCalibrationChargePix::GetMeanFFactorFADC2PhotErr()
417	// 15: Pixels valid calibration F-Factor-Method (see MCalibrationChargePix::IsFFactorMethodValid())
418	//
419	// Results of the Low-Gain vs. High-Gain Conversion:
420	// =================================================
421	//
422	// 16: Mean Signal Hi-Gain / Mean Signal Lo-Gain (see MCalibrationPix::GetHiLoMeansDivided())
423	// 17: Error Signal High-Gain / Signal Low Gain (see MCalibrationPix::GetHiLoMeansDividedErr())
424	// 18: Sigma High-Gain / Sigma Low Gain (see MCalibrationPix::GetHiLoSigmasDivided())
425	// 19: Error Sigma High-Gain / Sigma Low Gain (see MCalibrationPix::GetHiLoSigmasDividedErr())
426	//
427	// Localized defects:
428	// ==================
429	//
430	// 20: Excluded Pixels
431	// 21: Number of pickup events in the Hi Gain (see MCalibrationPix::GetHiGainNumPickup())
432	// 22: Number of pickup events in the Lo Gain (see MCalibrationPix::GetLoGainNumPickup())
433	// 23: Number of blackout events in the Hi Gain (see MCalibrationPix::GetHiGainNumBlackout())
434	// 24: Number of blackout events in the Lo Gain (see MCalibrationPix::GetLoGainNumBlackout())
435	//
436	// Other classifications of pixels:
437	// ================================
438	//
439	// 25: Pixels with saturated High-Gain (see MCalibrationPix::IsHiGainSaturation())
440	//
441	// Calculated absolute arrival times (very low precision!):
442	// ========================================================
443	//
444	// 26: Absolute Arrival time of the signal (see MCalibrationChargePix::GetAbsTimeMean())
445	// 27: RMS Ab. Arrival time of the signal (see MCalibrationChargePix::GetAbsTimeRms())
446	//
447	// Used Pedestals:
448	// ===============
449	//
450	// 28: Pedestal for entire signal extr. range (see MCalibrationChargePix::Ped())
451	// 29: Error Pedestal entire signal extr. range (see MCalibrationChargePix::PedErr())
452	// 30: Ped. RMS entire signal extraction range (see MCalibrationChargePix::PedRms())
453	// 31: Error Ped. RMS entire signal extr. range (see MCalibrationChargePix::PedRmsErr())
454	//
455	// Special variables (for data check):
456	// ====================================
457	//
458	// 32: HiGain RMS divided by Mean for every pixel (with inclusion of the excluded pixels)
459	//
460	Bool_t MCalibrationChargeCam::GetPixelContent(Double_t &val, Int_t idx, const MGeomCam &cam, Int_t type) const
461	{
462
463	if (idx > GetSize())
464	return kFALSE;
465
466	Float_t area = cam[idx].GetA();
467
468	if (area == 0)
469	return kFALSE;
470
471	MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[idx];
472
473	switch (type)
474	{
475	case 0:
476	if (pix.IsExcluded())
477	return kFALSE;
478	val = pix.GetConvertedMean();
479	break;
480	case 1:
481	if (pix.IsExcluded())
482	return kFALSE;
483	val = pix.GetConvertedMeanErr();
484	break;
485	case 2:
486	if (pix.IsExcluded())
487	return kFALSE;
488	val = pix.GetConvertedSigma();
489	break;
490	case 3:
491	if (pix.IsExcluded())
492	return kFALSE;
493	val = pix.GetConvertedSigmaErr();
494	break;
495	case 4:
496	if (pix.IsExcluded())
497	return kFALSE;
498	val = pix.GetProb();
499	break;
500	case 5:
501	if (!pix.IsFFactorMethodValid())
502	return kFALSE;
503	if (pix.GetRSigma() == -1.)
504	return kFALSE;
505	val = pix.GetConvertedRSigma();
506	break;
507	case 6:
508	if (!pix.IsFFactorMethodValid())
509	return kFALSE;
510	if (pix.GetRSigma() == -1.)
511	return kFALSE;
512	val = pix.GetConvertedRSigmaErr();
513	break;
514	case 7:
515	if (!pix.IsFFactorMethodValid())
516	return kFALSE;
517	val = pix.GetRSigmaPerCharge();
518	break;
519	case 8:
520	if (!pix.IsFFactorMethodValid())
521	return kFALSE;
522	val = pix.GetRSigmaPerChargeErr();
523	break;
524	case 9:
525	// if (!pix.IsFFactorMethodValid())
526	// return kFALSE;
527	if (pix.IsExcluded())
528	return kFALSE;
529	val = pix.GetPheFFactorMethod();
530	break;
531	case 10:
532	// if (!pix.IsFFactorMethodValid())
533	// return kFALSE;
534	if (pix.IsExcluded())
535	return kFALSE;
536	val = pix.GetPheFFactorMethodErr();
537	if (val < 0.)
538	val = 0.00001;
539	break;
540	case 11:
541	// if (!pix.IsFFactorMethodValid())
542	// return kFALSE;
543	if (pix.IsExcluded())
544	return kFALSE;
545	val = pix.GetMeanConvFADC2Phe();
546	break;
547	case 12:
548	// if (!pix.IsFFactorMethodValid())
549	// return kFALSE;
550	if (pix.IsExcluded())
551	return kFALSE;
552	val = pix.GetMeanConvFADC2PheErr();
553	if (val < 0.)
554	val = 0.00001;
555	break;
556	case 13:
557	// if (!pix.IsFFactorMethodValid())
558	// return kFALSE;
559	if (pix.IsExcluded())
560	return kFALSE;
561	val = pix.GetMeanFFactorFADC2Phot();
562	break;
563	case 14:
564	// if (!pix.IsFFactorMethodValid())
565	// return kFALSE;
566	if (pix.IsExcluded())
567	return kFALSE;
568	val = pix.GetMeanFFactorFADC2PhotErr();
569	if (val < 0.)
570	val = 0.00001;
571	break;
572	case 15:
573	if (pix.IsExcluded())
574	return kFALSE;
575	if (pix.IsFFactorMethodValid())
576	val = 1;
577	else
578	return kFALSE;
579	break;
580	case 16:
581	if (pix.IsExcluded())
582	return kFALSE;
583	val = pix.GetHiLoMeansDivided();
584	break;
585	case 17:
586	if (pix.IsExcluded())
587	return kFALSE;
588	val = pix.GetHiLoMeansDividedErr();
589	break;
590	case 18:
591	if (pix.IsExcluded())
592	return kFALSE;
593	val = pix.GetHiLoSigmasDivided();
594	break;
595	case 19:
596	if (pix.IsExcluded())
597	return kFALSE;
598	val = pix.GetHiLoSigmasDividedErr();
599	break;
600	case 20:
601	if (pix.IsExcluded())
602	val = 1.;
603	else
604	return kFALSE;
605	break;
606	case 21:
607	if (pix.IsExcluded())
608	return kFALSE;
609	val = pix.GetHiGainNumPickup();
610	break;
611	case 22:
612	if (pix.IsExcluded())
613	return kFALSE;
614	val = pix.GetLoGainNumPickup();
615	break;
616	case 23:
617	if (pix.IsExcluded())
618	return kFALSE;
619	val = pix.GetHiGainNumBlackout();
620	break;
621	case 24:
622	if (pix.IsExcluded())
623	return kFALSE;
624	val = pix.GetLoGainNumBlackout();
625	break;
626	case 25:
627	if (pix.IsExcluded())
628	return kFALSE;
629	val = pix.IsHiGainSaturation();
630	break;
631	case 26:
632	if (pix.IsExcluded())
633	return kFALSE;
634	val = pix.GetAbsTimeMean();
635	break;
636	case 27:
637	if (pix.IsExcluded())
638	return kFALSE;
639	val = pix.GetAbsTimeRms();
640	break;
641	case 28:
642	if (pix.IsExcluded())
643	return kFALSE;
644	val = pix.GetPed();
645	break;
646	case 29:
647	if (pix.IsExcluded())
648	return kFALSE;
649	val = pix.GetPedErr();
650	break;
651	case 30:
652	if (pix.IsExcluded())
653	return kFALSE;
654	val = pix.GetPedRms();
655	break;
656	case 31:
657	if (pix.IsExcluded())
658	return kFALSE;
659	val = pix.GetPedErr()/2.;
660	break;
661	case 32:
662	if (pix.IsExcluded())
663	return kFALSE;
664	val = pix.GetMean() == 0. ? 0. : pix.GetRms()/pix.GetMean();
665	break;
666	case 33:
667	if (pix.IsExcluded())
668	return kFALSE;
669	if (pix.GetMean() == 0.)
670	val = 0.;
671	else
672	val = pix.GetSigmaErr()/pix.GetMean() + pix.GetRms()/pix.GetMean()/pix.GetMean()*pix.GetMeanErr();
673	break;
674	default:
675	return kFALSE;
676	}
677
678	return val!=-1.;
679	}
680
681
682	Bool_t MCalibrationChargeCam::GetConversionFactorFFactor(Int_t ipx, Float_t &mean, Float_t &err, Float_t &ffactor)
683	{
684
685	MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[ipx];
686
687	Float_t conv = pix.GetMeanConvFADC2Phe();
688
689	if (conv < 0.)
690	return kFALSE;
691
692	mean = conv;
693	err = pix.GetMeanConvFADC2PheErr();
694	ffactor = pix.GetMeanFFactorFADC2Phot();
695
696	return kTRUE;
697	}
698
699
700	// --------------------------------------------------------------------------
701	//
702	// Calculates the average conversion factor FADC counts to photons for pixel sizes.
703	// The geometry container is used to get the necessary
704	// geometry information (area index). The MCalibrationQECam container is necessary for
705	// the quantum efficiency information.
706	// If the bad pixel container is given all pixels which have the flag 'kUnsuitableRun' are ignored
707	// in the calculation of the size average.
708	//
709	// Returns a TArrayF of dimension 2:
710	// arr[0]: averaged conversion factors (default: -1.)
711	// arr[1]: Error (rms) of averaged conversion factors (default: 0.)
712	//
713	TArrayF MCalibrationChargeCam::GetAveragedConvFADC2PhotPerArea ( const MGeomCam &geom, const MCalibrationQECam &qecam,
714	const UInt_t ai, MBadPixelsCam *bad)
715	{
716
717	const Int_t np = GetSize();
718
719	Double_t mean = 0.;
720	Double_t mean2 = 0.;
721	Int_t nr = 0;
722
723	MHCamera convcam(geom,"ConvFactors","Conversion Factors;Conv Factor [phot/FADC cnts];channels");
724
725	for (int i=0; i<np; i++)
726	{
727	if (bad && (*bad)[i].IsUnsuitable(MBadPixelsPix::kUnsuitableRun))
728	continue;
729
730	if (bad && (*bad)[i].IsUncalibrated(MBadPixelsPix::kDeviatingNumPhes))
731	continue;
732
733	const UInt_t aidx = geom[i].GetAidx();
734
735	if (ai != aidx)
736	continue;
737
738	const MCalibrationQEPix &qepix = (MCalibrationQEPix&)qecam[i];
739	if (!qepix.IsAverageQEFFactorAvailable())
740	continue;
741
742	const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[i];
743	const Float_t conv = pix.GetMeanConvFADC2Phe()/qepix.GetQECascadesFFactor();
744
745	mean += conv;
746	mean2 += conv*conv;
747	nr ++;
748
749	convcam.Fill(i,conv);
750	convcam.SetUsed(i);
751	}
752
753	Float_t mn = nr ? mean/nr : -1.;
754	Float_t sg = nr>1 ? TMath::Sqrt((mean2 - mean*mean/nr)/(nr-1)) : 0.;
755
756	const Int_t aidx = (Int_t)ai;
757
758	TH1D *h = convcam.ProjectionS(TArrayI(),TArrayI(1,&aidx),"_py",750);
759	h->SetDirectory(NULL);
760
761	TF1 *fit = NULL;
762
763	if (geom.InheritsFrom("MGeomCamMagic"))
764	{
765
766	fit = new TF1("fit","gaus",0.4,5.);
767
768	// Fix the ranges, as found by Nadia
769	if(aidx == 0)
770	h->Fit(fit, "REQ0", "",0.4,1.5);
771	else
772	h->Fit(fit ,"REQ0", "",1.,5.);
773	}
774	else
775	{
776	h->Fit("gaus","Q0");
777	fit = h->GetFunction("gaus");
778	}
779
780	Float_t ci2 = fit->GetChisquare();
781	Float_t sigma = fit->GetParameter(2);
782
783	if (ci2 > 500. \|\| sigma > sg)
784	{
785	if (geom.InheritsFrom("MGeomCamMagic"))
786	{
787	// Fix the ranges, as found by Nadia
788	if(aidx == 0)
789	h->Fit(fit, "REQ0", "",0.4,1.5);
790	else
791	h->Fit(fit, "REQ0", "",1.,5.);
792	}
793	else
794	{
795	h->Fit("gaus","MREQ0");
796	fit = h->GetFunction("gaus");
797	}
798
799	ci2 = fit->GetChisquare();
800	sigma = fit->GetParameter(2);
801	}
802
803	const Int_t ndf = fit->GetNDF();
804
805	if (ci2 < 500. && sigma < sg && ndf > 2)
806	{
807	mn = fit->GetParameter(1);
808	sg = sigma;
809	}
810
811	*fLog << inf << "Conversion Factors to photons area idx: " << aidx << ":" << endl;
812	*fLog << inf << "Mean: " << Form("%4.3f",mn)
813	<< "+-" << Form("%4.3f",fit->GetParError(1))
814	<< " Sigma: " << Form("%4.3f",sg) << "+-" << Form("%4.3f",fit->GetParError(2))
815	<< " Chisquare: " << Form("%4.3f",fit->GetChisquare()) << " NDF : " << ndf << endl;
816
817	delete fit;
818	delete h;
819	gROOT->GetListOfFunctions()->Remove(fit);
820
821	TArrayF arr(2);
822	arr[0] = mn;
823	arr[1] = sg;
824
825	return arr;
826	}
827
828	// --------------------------------------------------------------------------
829	//
830	// Calculates the average conversion factor FADC counts to equiv. photo-electrons for pixel sizes.
831	// The geometry container is used to get the necessary
832	// geometry information (area index). The MCalibrationQECam container is necessary for
833	// the quantum efficiency information.
834	// If the bad pixel container is given all pixels which have the flag 'kUnsuitableRun' are ignored
835	// in the calculation of the size average.
836	//
837	// Returns a TArrayF of dimension 2:
838	// arr[0]: averaged conversion factors (default: -1.)
839	// arr[1]: Error (rms) of averaged conversion factors (default: 0.)
840	//
841	TArrayF MCalibrationChargeCam::GetAveragedConvFADC2PhePerArea ( const MGeomCam &geom, const MCalibrationQECam &qecam,
842	const UInt_t ai, MBadPixelsCam *bad)
843	{
844
845	const Int_t np = GetSize();
846
847	Double_t mean = 0.;
848	Double_t mean2 = 0.;
849	Int_t nr = 0;
850
851	MHCamera convcam(geom,"ConvFactors","Conversion Factors;Conv Factor [phe/FADC cnts];channels");
852
853	for (int i=0; i<np; i++)
854	{
855	if (bad && (*bad)[i].IsUnsuitable(MBadPixelsPix::kUnsuitableRun))
856	continue;
857
858	if (bad && (*bad)[i].IsUncalibrated(MBadPixelsPix::kDeviatingNumPhes))
859	continue;
860
861	const UInt_t aidx = geom[i].GetAidx();
862
863	if (ai != aidx)
864	continue;
865
866	const MCalibrationQEPix &qepix = (MCalibrationQEPix&)qecam[i];
867	if (!qepix.IsAverageQEFFactorAvailable())
868	continue;
869
870	const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[i];
871	const Float_t conv = pix.GetMeanConvFADC2Phe()/qepix.GetQECascadesFFactor()*MCalibrationQEPix::gkDefaultAverageQE;
872
873	mean += conv;
874	mean2 += conv*conv;
875	nr ++;
876
877	convcam.Fill(i,conv);
878	convcam.SetUsed(i);
879	}
880
881	Float_t mn = nr ? mean/nr : -1.;
882	Float_t sg = nr>1 ? TMath::Sqrt((mean2 - mean*mean/nr)/(nr-1)) : 0.;
883
884	const Int_t aidx = (Int_t)ai;
885
886	TH1D *h = convcam.ProjectionS(TArrayI(),TArrayI(1,&aidx),"_py",750);
887	h->SetDirectory(NULL);
888
889	TF1 *fit = NULL;
890
891	if (geom.InheritsFrom("MGeomCamMagic"))
892	{
893
894	fit = new TF1("fit","gaus",0.01,1.);
895
896	// Fix the ranges, as found by Nadia
897	if(aidx == 0)
898	{h->Fit("fit","REQ0", "",0.07,0.3);}
899	else
900	{h->Fit("fit","REQ0", "",0.15,1.0);}
901	}
902	else
903	{
904	h->Fit("gaus","Q0");
905	fit = h->GetFunction("gaus");
906	}
907
908	Float_t ci2 = fit->GetChisquare();
909	Float_t sigma = fit->GetParameter(2);
910
911	if (ci2 > 500. \|\| sigma > sg)
912	{
913	if (geom.InheritsFrom("MGeomCamMagic"))
914	{
915	// Fix the ranges, as found by Nadia
916	if(aidx == 0)
917	{h->Fit("fit","REQ0", "",0.07,0.3);}
918	else
919	{h->Fit("fit","REQ0", "",0.15,1.0);}
920	}
921	else
922	{
923	h->Fit("gaus","MREQ0");
924	fit = h->GetFunction("gaus");
925	}
926
927	ci2 = fit->GetChisquare();
928	sigma = fit->GetParameter(2);
929	}
930
931	const Int_t ndf = fit->GetNDF();
932
933	if (ci2 < 500. && sigma < sg && ndf > 2)
934	{
935	mn = fit->GetParameter(1);
936	sg = sigma;
937	}
938
939	*fLog << inf << "Conversion Factors to equiv. photo-electrons area idx: " << aidx << ":" << endl;
940	*fLog << inf << "Mean: " << Form("%4.3f",mn)
941	<< "+-" << Form("%4.3f",fit->GetParError(1))
942	<< " Sigma: " << Form("%4.3f",sg) << "+-" << Form("%4.3f",fit->GetParError(2))
943	<< " Chisquare: " << Form("%4.3f",fit->GetChisquare()) << " NDF : " << ndf << endl;
944
945	delete fit;
946	delete h;
947	gROOT->GetListOfFunctions()->Remove(fit);
948
949	TArrayF arr(2);
950	arr[0] = mn;
951	arr[1] = sg;
952
953	return arr;
954	}
955
956	// --------------------------------------------------------------------------
957	//
958	// Calculates the average conversion factor FADC counts to photons for camera sectors.
959	// The geometry container is used to get the necessary
960	// geometry information (area index). The MCalibrationQECam container is necessary for
961	// the quantum efficiency information.
962	// If the bad pixel container is given all pixels which have the flag 'kUnsuitableRun' are ignored
963	// in the calculation of the size average.
964	//
965	// Returns a TArrayF of dimension 2:
966	// arr[0]: averaged conversion factors (default: -1.)
967	// arr[1]: Error (rms) of averaged conversion factors (default: 0.)
968	//
969	TArrayF MCalibrationChargeCam::GetAveragedConvFADC2PhotPerSector( const MGeomCam &geom, const MCalibrationQECam &qecam,
970	const UInt_t sec, MBadPixelsCam *bad)
971	{
972	const Int_t np = GetSize();
973
974	Double_t mean = 0.;
975	Double_t mean2 = 0.;
976	Int_t nr = 0;
977
978	for (int i=0; i<np; i++)
979	{
980	if (bad && (*bad)[i].IsUnsuitable(MBadPixelsPix::kUnsuitableRun))
981	continue;
982
983	const UInt_t sector = geom[i].GetSector();
984
985	if (sector != sec)
986	continue;
987
988	const MCalibrationQEPix &qepix = (MCalibrationQEPix&)qecam[i];
989	if (!qepix.IsAverageQEFFactorAvailable())
990	continue;
991
992	const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[i];
993	const Float_t conv = pix.GetMeanConvFADC2Phe();
994	const Float_t qe = qepix.GetQECascadesFFactor();
995
996	mean += conv/qe;
997	mean2 += conv*conv/qe/qe;
998	nr ++;
999
1000	}
1001
1002	TArrayF arr(2);
1003	arr[0] = nr ? mean/nr : -1;
1004	arr[1] = nr>1 ? TMath::Sqrt((mean2 - mean*mean/nr)/(nr-1)) : 0;
1005	return arr;
1006	}
1007
1008	// --------------------------------------------------------------------------
1009	//
1010	// Calculates the average mean arrival times for pixel sizes.
1011	// The geometry container is used to get the necessary
1012	// geometry information (area index).
1013	// If the bad pixel container is given all pixels which have the flag 'kUnsuitableRun' are ignored
1014	// in the calculation of the size average.
1015	//
1016	// Returns a TArrayF of dimension 2:
1017	// arr[0]: averaged mean arrival times (default: -1.)
1018	// arr[1]: Error (rms) of averaged mean arrival times (default: 0.)
1019	//
1020	TArrayF MCalibrationChargeCam::GetAveragedArrivalTimeMeanPerArea(const MGeomCam &geom,
1021	const UInt_t ai, MBadPixelsCam *bad)
1022	{
1023
1024	const Int_t np = GetSize();
1025
1026	Double_t mean = 0.;
1027	Double_t mean2 = 0.;
1028	Int_t nr = 0;
1029
1030	for (int i=0; i<np; i++)
1031	{
1032	if (bad && (*bad)[i].IsUnsuitable(MBadPixelsPix::kUnsuitableRun))
1033	continue;
1034
1035	const UInt_t aidx = geom[i].GetAidx();
1036
1037	if (ai != aidx)
1038	continue;
1039
1040	const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[i];
1041	const Float_t time = pix.GetAbsTimeMean();
1042
1043	mean += time ;
1044	mean2 += time*time;
1045	nr ++;
1046
1047	}
1048
1049	TArrayF arr(2);
1050	arr[0] = nr ? mean/nr : -1;
1051	arr[1] = nr>1 ? TMath::Sqrt((mean2 - mean*mean/nr)/(nr-1)) : 0;
1052	return arr;
1053	}
1054
1055	// --------------------------------------------------------------------------
1056	//
1057	// Calculates the average mean arrival times for camera sectors.
1058	// The geometry container is used to get the necessary
1059	// geometry information (area index).
1060	// If the bad pixel container is given all pixels which have the flag 'kUnsuitableRun' are ignored
1061	// in the calculation of the size average.
1062	//
1063	// Returns a TArrayF of dimension 2:
1064	// arr[0]: averaged mean arrival times (default: -1.)
1065	// arr[1]: Error (rms) of averaged mean arrival times (default: 0.)
1066	//
1067	TArrayF MCalibrationChargeCam::GetAveragedArrivalTimeMeanPerSector(const MGeomCam &geom,
1068	const UInt_t sec, MBadPixelsCam *bad)
1069	{
1070	const Int_t np = GetSize();
1071
1072	Double_t mean = 0.;
1073	Double_t mean2 = 0.;
1074	Int_t nr = 0;
1075
1076	for (int i=0; i<np; i++)
1077	{
1078	if (bad && (*bad)[i].IsUnsuitable(MBadPixelsPix::kUnsuitableRun))
1079	continue;
1080
1081	const UInt_t sector = geom[i].GetSector();
1082
1083	if (sector != sec)
1084	continue;
1085
1086	const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[i];
1087	const Float_t time = pix.GetAbsTimeMean();
1088
1089	mean += time;
1090	mean2 += time*time;
1091	nr ++;
1092
1093	}
1094
1095	TArrayF arr(2);
1096	arr[0] = nr ? mean/nr : -1;
1097	arr[1] = nr>1 ? TMath::Sqrt((mean2 - mean*mean/nr)/(nr-1)) : 0;
1098	return arr;
1099	}
1100
1101	// --------------------------------------------------------------------------
1102	//
1103	// Calculates the average arrival time RMSs for pixel sizes.
1104	// The geometry container is used to get the necessary
1105	// geometry information (area index).
1106	// If the bad pixel container is given all pixels which have the flag 'kUnsuitableRun' are ignored
1107	// in the calculation of the size average.
1108	//
1109	// Returns a TArrayF of dimension 2:
1110	// arr[0]: averaged arrival time RMSs (default: -1.)
1111	// arr[1]: Error (rms) of averaged arrival time RMSs (default: 0.)
1112	//
1113	TArrayF MCalibrationChargeCam::GetAveragedArrivalTimeRmsPerArea ( const MGeomCam &geom,
1114	const UInt_t ai, MBadPixelsCam *bad)
1115	{
1116
1117	const Int_t np = GetSize();
1118
1119	Double_t mean = 0.;
1120	Double_t mean2 = 0.;
1121	Int_t nr = 0;
1122
1123	for (int i=0; i<np; i++)
1124	{
1125	if (bad && (*bad)[i].IsUnsuitable(MBadPixelsPix::kUnsuitableRun))
1126	continue;
1127
1128	const UInt_t aidx = geom[i].GetAidx();
1129
1130	if (ai != aidx)
1131	continue;
1132
1133	const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[i];
1134	const Float_t rms = pix.GetAbsTimeRms();
1135
1136	mean += rms;
1137	mean2 += rms*rms;
1138	nr ++;
1139
1140	}
1141
1142	TArrayF arr(2);
1143	arr[0] = nr ? mean/nr : -1;
1144	arr[1] = nr>1 ? TMath::Sqrt((mean2 - mean*mean/nr)/(nr-1)) : 0;
1145	return arr;
1146	}
1147
1148	// --------------------------------------------------------------------------
1149	//
1150	// Calculates the average arrival time RMSs for camera sectors.
1151	// The geometry container is used to get the necessary
1152	// geometry information (area index).
1153	// If the bad pixel container is given all pixels which have the flag 'kUnsuitableRun' are ignored
1154	// in the calculation of the size average.
1155	//
1156	// Returns a TArrayF of dimension 2:
1157	// arr[0]: averaged arrival time RMSs (default: -1.)
1158	// arr[1]: Error (rms) of averaged arrival time RMSs (default: 0.)
1159	//
1160	TArrayF MCalibrationChargeCam::GetAveragedArrivalTimeRmsPerSector( const MGeomCam &geom, const UInt_t sec, MBadPixelsCam *bad)
1161	{
1162	const Int_t np = GetSize();
1163
1164	Double_t mean = 0.;
1165	Double_t mean2 = 0.;
1166	Int_t nr = 0;
1167
1168	for (int i=0; i<np; i++)
1169	{
1170	if (bad && (*bad)[i].IsUnsuitable(MBadPixelsPix::kUnsuitableRun))
1171	continue;
1172
1173	const UInt_t sector = geom[i].GetSector();
1174
1175	if (sector != sec)
1176	continue;
1177
1178	const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[i];
1179	const Float_t rms = pix.GetAbsTimeRms();
1180
1181	mean += rms;
1182	mean2 += rms*rms;
1183	nr ++;
1184	}
1185
1186	TArrayF arr(2);
1187	arr[0] = nr ? mean/nr : -1;
1188	arr[1] = nr>1 ? TMath::Sqrt((mean2 - mean*mean/nr)/(nr-1)) : 0;
1189
1190	return arr;
1191	}

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