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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	// Print first the well fitted pixels
253	// and then the ones which are not FitValid
254	//
255	void MCalibrationChargeCam::Print(Option_t *o) const
256	{
257
258	*fLog << all << GetDescriptor() << ":" << endl;
259	int id = 0;
260
261	*fLog << all << "Calibrated pixels:" << endl;
262	*fLog << all << endl;
263
264	TIter Next(fPixels);
265	MCalibrationChargePix *pix;
266	while ((pix=(MCalibrationChargePix*)Next()))
267	{
268
269	if (!pix->IsExcluded())
270	{
271
272	*fLog << all
273	<< Form("%s%3i","Pixel: ",pix->GetPixId())
274	<< Form("%s%4.2f%s%4.2f"," Ped.Rms: ",pix->GetPedRms(),"+-",pix->GetPedRmsErr())
275	<< Form("%s%4.2f%s%4.2f"," Charge: " ,pix->GetConvertedMean(),"+-",pix->GetConvertedSigma())
276	<< Form("%s%4.2f%s%4.2f"," Red.Sigma: ",pix->GetConvertedRSigma(),"+-",pix->GetConvertedRSigmaErr())
277	<< Form("%s%4.2f%s%4.2f"," Num.Phes: ",pix->GetPheFFactorMethod(),"+-",pix->GetPheFFactorMethodErr())
278	<< Form("%s%4.2f%s%4.2f"," Conv.FADC2Phe: ",pix->GetMeanConvFADC2Phe(),"+-",pix->GetMeanConvFADC2PheErr())
279	<< " Saturated? :" << pix->IsHiGainSaturation()
280	<< Form("%s%4.2f%s%4.2f"," Conv.HiLo: ",pix->GetConversionHiLo(),"+-",pix->GetConversionHiLoErr())
281	<< endl;
282	id++;
283	}
284	}
285
286	*fLog << all << id << " pixels" << endl;
287	id = 0;
288
289
290	*fLog << all << endl;
291	*fLog << all << "Excluded pixels:" << endl;
292	*fLog << all << endl;
293
294	id = 0;
295
296	TIter Next4(fPixels);
297	while ((pix=(MCalibrationChargePix*)Next4()))
298	{
299	if (pix->IsExcluded())
300	{
301	*fLog << all << pix->GetPixId() << " ";
302	id++;
303
304	if (!(id % 25))
305	*fLog << endl;
306	}
307	}
308
309	*fLog << endl;
310	*fLog << all << id << " Excluded pixels " << endl;
311	*fLog << endl;
312
313	*fLog << all << endl;
314	*fLog << all << "Averaged Areas:" << endl;
315	*fLog << all << endl;
316
317	TIter Next5(fAverageAreas);
318	while ((pix=(MCalibrationChargePix*)Next5()))
319	{
320	*fLog << all << Form("%s%3i","Area Idx: ",pix->GetPixId())
321	<< " Ped. Rms: " << pix->GetPedRms() << " +- " << pix->GetPedRmsErr()
322	<< " Mean signal: " << pix->GetMean() << " +- " << pix->GetMeanErr()
323	<< " Sigma signal: " << pix->GetSigma() << " +- "<< pix->GetSigmaErr()
324	<< " Reduced Sigma: " << pix->GetRSigma()
325	<< " Nr Phe's: " << pix->GetPheFFactorMethod()
326	<< endl;
327	}
328
329	*fLog << all << endl;
330	*fLog << all << "Averaged Sectors:" << endl;
331	*fLog << all << endl;
332
333	TIter Next6(fAverageSectors);
334	while ((pix=(MCalibrationChargePix*)Next6()))
335	{
336	*fLog << all << Form("%s%3i","Sector: ",pix->GetPixId())
337	<< " Ped. Rms: " << pix->GetPedRms() << " +- " << pix->GetPedRmsErr()
338	<< " Mean signal: " << pix->GetMean() << " +- " << pix->GetMeanErr()
339	<< " Sigma signal: " << pix->GetSigma() << " +- "<< pix->GetSigmaErr()
340	<< " Reduced Sigma: " << pix->GetRSigma()
341	<< " Nr Phe's: " << pix->GetPheFFactorMethod()
342	<< endl;
343	}
344	*fLog << all << endl;
345	}
346
347
348	// --------------------------------------------------------------------------
349	//
350	// The types are as follows:
351	//
352	// Fitted values:
353	// ==============
354	//
355	// 0: Fitted Charge (see MCalibrationPix::GetMean())
356	// 1: Error of fitted Charge (see MCalibrationPix::GetMeanErr())
357	// 2: Sigma of fitted Charge (see MCalibrationPix::GetSigma())
358	// 3: Error of Sigma of fitted Charge (see MCalibrationPix::GetSigmaErr())
359	//
360	// Useful variables derived from the fit results:
361	// =============================================
362	//
363	// 4: Probability Gauss fit Charge distribution (see MCalibrationPix::GetProb())
364	// 5: Reduced Sigma of fitted Charge (see MCalibrationChargePix::GetRSigma())
365	// 6: Error Reduced Sigma of fitted Charge (see MCalibrationChargePix::GetRSigmaErr())
366	// 7: Reduced Sigma per Charge (see MCalibrationChargePix::GetRSigmaPerCharge())
367	// 8: Error of Reduced Sigma per Charge (see MCalibrationChargePix::GetRSigmaPerChargeErr())
368	//
369	// Results of the F-Factor calibration Method:
370	// ===========================================
371	//
372	// 9: Nr. Photo-electrons from F-Factor Method (see MCalibrationChargePix::GetPheFFactorMethod())
373	// 10: Error Nr. Photo-el. from F-Factor Method (see MCalibrationChargePix::GetPheFFactorMethodErr())
374	// 11: Conversion factor from F-Factor Method (see MCalibrationChargePix::GetMeanConvFADC2Phe()
375	// 12: Error conv. factor from F-Factor Method (see MCalibrationChargePix::GetMeanConvFADC2PheErr()
376	// 13: Overall F-Factor from F-Factor Method (see MCalibrationChargePix::GetMeanFFactorFADC2Phot()
377	// 14: Error F-Factor from F-Factor Method (see MCalibrationChargePix::GetMeanFFactorFADC2PhotErr()
378	// 15: Pixels valid calibration F-Factor-Method (see MCalibrationChargePix::IsFFactorMethodValid())
379	//
380	// Results of the Low-Gain vs. High-Gain Conversion:
381	// =================================================
382	//
383	// 16: Mean Signal Hi-Gain / Mean Signal Lo-Gain (see MCalibrationPix::GetHiLoMeansDivided())
384	// 17: Error Signal High-Gain / Signal Low Gain (see MCalibrationPix::GetHiLoMeansDividedErr())
385	// 18: Sigma High-Gain / Sigma Low Gain (see MCalibrationPix::GetHiLoSigmasDivided())
386	// 19: Error Sigma High-Gain / Sigma Low Gain (see MCalibrationPix::GetHiLoSigmasDividedErr())
387	//
388	// Localized defects:
389	// ==================
390	//
391	// 20: Excluded Pixels
392	// 21: Number of pickup events in the Hi Gain (see MCalibrationPix::GetHiGainNumPickup())
393	// 22: Number of pickup events in the Lo Gain (see MCalibrationPix::GetLoGainNumPickup())
394	// 23: Number of blackout events in the Hi Gain (see MCalibrationPix::GetHiGainNumBlackout())
395	// 24: Number of blackout events in the Lo Gain (see MCalibrationPix::GetLoGainNumBlackout())
396	//
397	// Other classifications of pixels:
398	// ================================
399	//
400	// 25: Pixels with saturated High-Gain (see MCalibrationPix::IsHiGainSaturation())
401	//
402	// Calculated absolute arrival times (very low precision!):
403	// ========================================================
404	//
405	// 26: Absolute Arrival time of the signal (see MCalibrationChargePix::GetAbsTimeMean())
406	// 27: RMS Ab. Arrival time of the signal (see MCalibrationChargePix::GetAbsTimeRms())
407	//
408	// Used Pedestals:
409	// ===============
410	//
411	// 28: Pedestal for entire signal extr. range (see MCalibrationChargePix::Ped())
412	// 29: Error Pedestal entire signal extr. range (see MCalibrationChargePix::PedErr())
413	// 30: Ped. RMS entire signal extraction range (see MCalibrationChargePix::PedRms())
414	// 31: Error Ped. RMS entire signal extr. range (see MCalibrationChargePix::PedRmsErr())
415	//
416	// Special variables (for data check):
417	// ====================================
418	//
419	// 32: HiGain RMS divided by Mean for every pixel (with inclusion of the excluded pixels)
420	//
421	Bool_t MCalibrationChargeCam::GetPixelContent(Double_t &val, Int_t idx, const MGeomCam &cam, Int_t type) const
422	{
423
424	if (idx > GetSize())
425	return kFALSE;
426
427	Float_t area = cam[idx].GetA();
428
429	if (area == 0)
430	return kFALSE;
431
432	MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[idx];
433
434	switch (type)
435	{
436	case 0:
437	if (pix.IsExcluded())
438	return kFALSE;
439	val = pix.GetConvertedMean();
440	break;
441	case 1:
442	if (pix.IsExcluded())
443	return kFALSE;
444	val = pix.GetConvertedMeanErr();
445	break;
446	case 2:
447	if (pix.IsExcluded())
448	return kFALSE;
449	val = pix.GetConvertedSigma();
450	break;
451	case 3:
452	if (pix.IsExcluded())
453	return kFALSE;
454	val = pix.GetConvertedSigmaErr();
455	break;
456	case 4:
457	if (pix.IsExcluded())
458	return kFALSE;
459	val = pix.GetProb();
460	break;
461	case 5:
462	if (pix.IsExcluded())
463	return kFALSE;
464	if (pix.GetRSigma() == -1.)
465	return kFALSE;
466	val = pix.GetConvertedRSigma();
467	break;
468	case 6:
469	if (pix.IsExcluded())
470	return kFALSE;
471	if (pix.GetRSigma() == -1.)
472	return kFALSE;
473	val = pix.GetConvertedRSigmaErr();
474	break;
475	case 7:
476	if (pix.IsExcluded())
477	return kFALSE;
478	val = pix.GetRSigmaPerCharge();
479	break;
480	case 8:
481	if (pix.IsExcluded())
482	return kFALSE;
483	val = pix.GetRSigmaPerChargeErr();
484	break;
485	case 9:
486	if (pix.IsExcluded() \|\| !pix.IsFFactorMethodValid())
487	return kFALSE;
488	val = pix.GetPheFFactorMethod();
489	break;
490	case 10:
491	if (pix.IsExcluded() \|\| !pix.IsFFactorMethodValid())
492	return kFALSE;
493	val = pix.GetPheFFactorMethodErr();
494	break;
495	case 11:
496	if (pix.IsExcluded() \|\| !pix.IsFFactorMethodValid())
497	return kFALSE;
498	val = pix.GetMeanConvFADC2Phe();
499	break;
500	case 12:
501	if (pix.IsExcluded() \|\| !pix.IsFFactorMethodValid())
502	return kFALSE;
503	val = pix.GetMeanConvFADC2PheErr();
504	break;
505	case 13:
506	if (pix.IsExcluded() \|\| !pix.IsFFactorMethodValid())
507	return kFALSE;
508	val = pix.GetMeanFFactorFADC2Phot();
509	break;
510	case 14:
511	if (pix.IsExcluded() \|\| !pix.IsFFactorMethodValid())
512	return kFALSE;
513	val = pix.GetMeanFFactorFADC2PhotErr();
514	break;
515	case 15:
516	if (pix.IsExcluded())
517	return kFALSE;
518	if (pix.IsFFactorMethodValid())
519	val = 1;
520	else
521	return kFALSE;
522	break;
523	case 16:
524	if (pix.IsExcluded())
525	return kFALSE;
526	val = pix.GetHiLoMeansDivided();
527	break;
528	case 17:
529	if (pix.IsExcluded())
530	return kFALSE;
531	val = pix.GetHiLoMeansDividedErr();
532	break;
533	case 18:
534	if (pix.IsExcluded())
535	return kFALSE;
536	val = pix.GetHiLoSigmasDivided();
537	break;
538	case 19:
539	if (pix.IsExcluded())
540	return kFALSE;
541	val = pix.GetHiLoSigmasDividedErr();
542	break;
543	case 20:
544	if (pix.IsExcluded())
545	val = 1.;
546	else
547	return kFALSE;
548	break;
549	case 21:
550	if (pix.IsExcluded())
551	return kFALSE;
552	val = pix.GetHiGainNumPickup();
553	break;
554	case 22:
555	if (pix.IsExcluded())
556	return kFALSE;
557	val = pix.GetLoGainNumPickup();
558	break;
559	case 23:
560	if (pix.IsExcluded())
561	return kFALSE;
562	val = pix.GetHiGainNumBlackout();
563	break;
564	case 24:
565	if (pix.IsExcluded())
566	return kFALSE;
567	val = pix.GetLoGainNumBlackout();
568	break;
569	case 25:
570	if (pix.IsExcluded())
571	return kFALSE;
572	val = pix.IsHiGainSaturation();
573	break;
574	case 26:
575	if (pix.IsExcluded())
576	return kFALSE;
577	val = pix.GetAbsTimeMean();
578	break;
579	case 27:
580	if (pix.IsExcluded())
581	return kFALSE;
582	val = pix.GetAbsTimeRms();
583	break;
584	case 28:
585	if (pix.IsExcluded())
586	return kFALSE;
587	val = pix.GetPed();
588	break;
589	case 29:
590	if (pix.IsExcluded())
591	return kFALSE;
592	val = pix.GetPedErr();
593	break;
594	case 30:
595	if (pix.IsExcluded())
596	return kFALSE;
597	val = pix.GetPedRms();
598	break;
599	case 31:
600	if (pix.IsExcluded())
601	return kFALSE;
602	val = pix.GetPedErr()/2.;
603	break;
604	case 32:
605	val = pix.GetMean() == 0. ? 0. : pix.GetRms()/pix.GetMean();
606	break;
607	default:
608	return kFALSE;
609	}
610
611	return val!=-1.;
612	}
613
614
615
616	Bool_t MCalibrationChargeCam::GetConversionFactorFFactor(Int_t ipx, Float_t &mean, Float_t &err, Float_t &ffactor)
617	{
618
619	MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[ipx];
620
621	Float_t conv = pix.GetMeanConvFADC2Phe();
622
623	if (conv < 0.)
624	return kFALSE;
625
626	mean = conv;
627	err = pix.GetMeanConvFADC2PheErr();
628	ffactor = pix.GetMeanFFactorFADC2Phot();
629
630	return kTRUE;
631	}
632
633
634	// --------------------------------------------------------------------------
635	//
636	// Calculates the average conversion factor FADC counts to photons for pixel sizes.
637	// The geometry container is used to get the necessary
638	// geometry information (area index). The MCalibrationQECam container is necessary for
639	// the quantum efficiency information.
640	// If the bad pixel container is given all pixels which have the flag 'kUnsuitableRun' are ignored
641	// in the calculation of the size average.
642	//
643	// Returns a TArrayF of dimension 2:
644	// arr[0]: averaged conversion factors (default: -1.)
645	// arr[1]: Error (rms) of averaged conversion factors (default: 0.)
646	//
647	TArrayF MCalibrationChargeCam::GetAveragedConvFADC2PhotPerArea ( const MGeomCam &geom, const MCalibrationQECam &qecam,
648	const UInt_t ai, MBadPixelsCam *bad)
649	{
650
651	const Int_t np = GetSize();
652
653	Double_t mean = 0.;
654	Double_t mean2 = 0.;
655	Int_t nr = 0;
656
657	MHCamera convcam(geom,"ConvFactors","Conversion Factors;Conv Factor [phot/FADC cnts];channels");
658
659	for (int i=0; i<np; i++)
660	{
661	if (bad && (*bad)[i].IsUnsuitable(MBadPixelsPix::kUnsuitableRun))
662	continue;
663
664	if (bad && (*bad)[i].IsUncalibrated(MBadPixelsPix::kDeviatingNumPhes))
665	continue;
666
667	const UInt_t aidx = geom[i].GetAidx();
668
669	if (ai != aidx)
670	continue;
671
672	const MCalibrationQEPix &qepix = (MCalibrationQEPix&)qecam[i];
673	if (!qepix.IsAverageQEFFactorAvailable())
674	continue;
675
676	const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[i];
677	const Float_t conv = pix.GetMeanConvFADC2Phe()/qepix.GetQECascadesFFactor();
678
679	mean += conv;
680	mean2 += conv*conv;
681	nr ++;
682
683	convcam.Fill(i,conv);
684	convcam.SetUsed(i);
685	}
686
687	Float_t mn = nr ? mean/nr : -1.;
688	Float_t sg = nr>1 ? TMath::Sqrt((mean2 - mean*mean/nr)/(nr-1)) : 0.;
689
690	const Int_t aidx = (Int_t)ai;
691
692	TH1D *h = convcam.ProjectionS(TArrayI(),TArrayI(1,&aidx),"_py",750);
693	h->SetDirectory(NULL);
694
695	TF1 *fit = NULL;
696
697	if (geom.InheritsFrom("MGeomCamMagic"))
698	{
699
700	fit = new TF1("fit","gaus",0.4,5.);
701
702	// Fix the ranges, as found by Nadia
703	if(aidx == 0)
704	{h->Fit("fit","REQ", "",0.4,1.5);}
705	else
706	{h->Fit("fit","REQ", "",1.,5.);}
707	}
708	else
709	{
710	h->Fit("gaus","Q");
711	fit = h->GetFunction("gaus");
712	}
713
714	Float_t ci2 = fit->GetChisquare();
715	Float_t sigma = fit->GetParameter(2);
716
717	if (ci2 > 500. \|\| sigma > sg)
718	{
719	if (geom.InheritsFrom("MGeomCamMagic"))
720	{
721	// Fix the ranges, as found by Nadia
722	if(aidx == 0)
723	{h->Fit("fit","REQ", "",0.4,1.5);}
724	else
725	{h->Fit("fit","REQ", "",1.,5.);}
726	}
727	else
728	{
729	h->Fit("gaus","MREQ");
730	fit = h->GetFunction("gaus");
731	}
732
733	ci2 = fit->GetChisquare();
734	sigma = fit->GetParameter(2);
735	}
736
737	const Int_t ndf = fit->GetNDF();
738
739	if (ci2 < 500. && sigma < sg && ndf > 2)
740	{
741	mn = fit->GetParameter(1);
742	sg = sigma;
743	}
744
745	*fLog << inf << "Conversion Factors to photons area idx: " << aidx << ":" << endl;
746	*fLog << inf << "Mean: " << Form("%4.3f",mn)
747	<< "+-" << Form("%4.3f",fit->GetParError(1))
748	<< " Sigma: " << Form("%4.3f",sg) << "+-" << Form("%4.3f",fit->GetParError(2))
749	<< " Chisquare: " << Form("%4.3f",fit->GetChisquare()) << " NDF : " << ndf << endl;
750
751	delete fit;
752	delete h;
753	gROOT->GetListOfFunctions()->Remove(fit);
754
755	TArrayF arr(2);
756	arr[0] = mn;
757	arr[1] = sg;
758
759	return arr;
760	}
761
762	// --------------------------------------------------------------------------
763	//
764	// Calculates the average conversion factor FADC counts to equiv. photo-electrons for pixel sizes.
765	// The geometry container is used to get the necessary
766	// geometry information (area index). The MCalibrationQECam container is necessary for
767	// the quantum efficiency information.
768	// If the bad pixel container is given all pixels which have the flag 'kUnsuitableRun' are ignored
769	// in the calculation of the size average.
770	//
771	// Returns a TArrayF of dimension 2:
772	// arr[0]: averaged conversion factors (default: -1.)
773	// arr[1]: Error (rms) of averaged conversion factors (default: 0.)
774	//
775	TArrayF MCalibrationChargeCam::GetAveragedConvFADC2PhePerArea ( const MGeomCam &geom, const MCalibrationQECam &qecam,
776	const UInt_t ai, MBadPixelsCam *bad)
777	{
778
779	const Int_t np = GetSize();
780
781	Double_t mean = 0.;
782	Double_t mean2 = 0.;
783	Int_t nr = 0;
784
785	MHCamera convcam(geom,"ConvFactors","Conversion Factors;Conv Factor [phe/FADC cnts];channels");
786
787	for (int i=0; i<np; i++)
788	{
789	if (bad && (*bad)[i].IsUnsuitable(MBadPixelsPix::kUnsuitableRun))
790	continue;
791
792	if (bad && (*bad)[i].IsUncalibrated(MBadPixelsPix::kDeviatingNumPhes))
793	continue;
794
795	const UInt_t aidx = geom[i].GetAidx();
796
797	if (ai != aidx)
798	continue;
799
800	const MCalibrationQEPix &qepix = (MCalibrationQEPix&)qecam[i];
801	if (!qepix.IsAverageQEFFactorAvailable())
802	continue;
803
804	const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[i];
805	const Float_t conv = pix.GetMeanConvFADC2Phe()/qepix.GetQECascadesFFactor()*MCalibrationQEPix::gkDefaultAverageQE;
806
807	mean += conv;
808	mean2 += conv*conv;
809	nr ++;
810
811	convcam.Fill(i,conv);
812	convcam.SetUsed(i);
813	}
814
815	Float_t mn = nr ? mean/nr : -1.;
816	Float_t sg = nr>1 ? TMath::Sqrt((mean2 - mean*mean/nr)/(nr-1)) : 0.;
817
818	const Int_t aidx = (Int_t)ai;
819
820	TH1D *h = convcam.ProjectionS(TArrayI(),TArrayI(1,&aidx),"_py",750);
821	h->SetDirectory(NULL);
822
823	TF1 *fit = NULL;
824
825	if (geom.InheritsFrom("MGeomCamMagic"))
826	{
827
828	fit = new TF1("fit","gaus",0.01,1.);
829
830	// Fix the ranges, as found by Nadia
831	if(aidx == 0)
832	{h->Fit("fit","REQ", "",0.07,0.3);}
833	else
834	{h->Fit("fit","REQ", "",0.15,1.0);}
835	}
836	else
837	{
838	h->Fit("gaus","Q");
839	fit = h->GetFunction("gaus");
840	}
841
842	Float_t ci2 = fit->GetChisquare();
843	Float_t sigma = fit->GetParameter(2);
844
845	if (ci2 > 500. \|\| sigma > sg)
846	{
847	if (geom.InheritsFrom("MGeomCamMagic"))
848	{
849	// Fix the ranges, as found by Nadia
850	if(aidx == 0)
851	{h->Fit("fit","REQ", "",0.07,0.3);}
852	else
853	{h->Fit("fit","REQ", "",0.15,1.0);}
854	}
855	else
856	{
857	h->Fit("gaus","MREQ");
858	fit = h->GetFunction("gaus");
859	}
860
861	ci2 = fit->GetChisquare();
862	sigma = fit->GetParameter(2);
863	}
864
865	const Int_t ndf = fit->GetNDF();
866
867	if (ci2 < 500. && sigma < sg && ndf > 2)
868	{
869	mn = fit->GetParameter(1);
870	sg = sigma;
871	}
872
873	*fLog << inf << "Conversion Factors to equiv. photo-electrons area idx: " << aidx << ":" << endl;
874	*fLog << inf << "Mean: " << Form("%4.3f",mn)
875	<< "+-" << Form("%4.3f",fit->GetParError(1))
876	<< " Sigma: " << Form("%4.3f",sg) << "+-" << Form("%4.3f",fit->GetParError(2))
877	<< " Chisquare: " << Form("%4.3f",fit->GetChisquare()) << " NDF : " << ndf << endl;
878
879	delete fit;
880	delete h;
881	gROOT->GetListOfFunctions()->Remove(fit);
882
883	TArrayF arr(2);
884	arr[0] = mn;
885	arr[1] = sg;
886
887	return arr;
888	}
889
890	// --------------------------------------------------------------------------
891	//
892	// Calculates the average conversion factor FADC counts to photons for camera sectors.
893	// The geometry container is used to get the necessary
894	// geometry information (area index). The MCalibrationQECam container is necessary for
895	// the quantum efficiency information.
896	// If the bad pixel container is given all pixels which have the flag 'kUnsuitableRun' are ignored
897	// in the calculation of the size average.
898	//
899	// Returns a TArrayF of dimension 2:
900	// arr[0]: averaged conversion factors (default: -1.)
901	// arr[1]: Error (rms) of averaged conversion factors (default: 0.)
902	//
903	TArrayF MCalibrationChargeCam::GetAveragedConvFADC2PhotPerSector( const MGeomCam &geom, const MCalibrationQECam &qecam,
904	const UInt_t sec, MBadPixelsCam *bad)
905	{
906	const Int_t np = GetSize();
907
908	Double_t mean = 0.;
909	Double_t mean2 = 0.;
910	Int_t nr = 0;
911
912	for (int i=0; i<np; i++)
913	{
914	if (bad && (*bad)[i].IsUnsuitable(MBadPixelsPix::kUnsuitableRun))
915	continue;
916
917	const UInt_t sector = geom[i].GetSector();
918
919	if (sector != sec)
920	continue;
921
922	const MCalibrationQEPix &qepix = (MCalibrationQEPix&)qecam[i];
923	if (!qepix.IsAverageQEFFactorAvailable())
924	continue;
925
926	const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[i];
927	const Float_t conv = pix.GetMeanConvFADC2Phe();
928	const Float_t qe = qepix.GetQECascadesFFactor();
929
930	mean += conv/qe;
931	mean2 += conv*conv/qe/qe;
932	nr ++;
933
934	}
935
936	TArrayF arr(2);
937	arr[0] = nr ? mean/nr : -1;
938	arr[1] = nr>1 ? TMath::Sqrt((mean2 - mean*mean/nr)/(nr-1)) : 0;
939	return arr;
940	}
941
942	// --------------------------------------------------------------------------
943	//
944	// Calculates the average mean arrival times for pixel sizes.
945	// The geometry container is used to get the necessary
946	// geometry information (area index).
947	// If the bad pixel container is given all pixels which have the flag 'kUnsuitableRun' are ignored
948	// in the calculation of the size average.
949	//
950	// Returns a TArrayF of dimension 2:
951	// arr[0]: averaged mean arrival times (default: -1.)
952	// arr[1]: Error (rms) of averaged mean arrival times (default: 0.)
953	//
954	TArrayF MCalibrationChargeCam::GetAveragedArrivalTimeMeanPerArea(const MGeomCam &geom,
955	const UInt_t ai, MBadPixelsCam *bad)
956	{
957
958	const Int_t np = GetSize();
959
960	Double_t mean = 0.;
961	Double_t mean2 = 0.;
962	Int_t nr = 0;
963
964	for (int i=0; i<np; i++)
965	{
966	if (bad && (*bad)[i].IsUnsuitable(MBadPixelsPix::kUnsuitableRun))
967	continue;
968
969	const UInt_t aidx = geom[i].GetAidx();
970
971	if (ai != aidx)
972	continue;
973
974	const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[i];
975	const Float_t time = pix.GetAbsTimeMean();
976
977	mean += time ;
978	mean2 += time*time;
979	nr ++;
980
981	}
982
983	TArrayF arr(2);
984	arr[0] = nr ? mean/nr : -1;
985	arr[1] = nr>1 ? TMath::Sqrt((mean2 - mean*mean/nr)/(nr-1)) : 0;
986	return arr;
987	}
988
989	// --------------------------------------------------------------------------
990	//
991	// Calculates the average mean arrival times for camera sectors.
992	// The geometry container is used to get the necessary
993	// geometry information (area index).
994	// If the bad pixel container is given all pixels which have the flag 'kUnsuitableRun' are ignored
995	// in the calculation of the size average.
996	//
997	// Returns a TArrayF of dimension 2:
998	// arr[0]: averaged mean arrival times (default: -1.)
999	// arr[1]: Error (rms) of averaged mean arrival times (default: 0.)
1000	//
1001	TArrayF MCalibrationChargeCam::GetAveragedArrivalTimeMeanPerSector(const MGeomCam &geom,
1002	const UInt_t sec, MBadPixelsCam *bad)
1003	{
1004	const Int_t np = GetSize();
1005
1006	Double_t mean = 0.;
1007	Double_t mean2 = 0.;
1008	Int_t nr = 0;
1009
1010	for (int i=0; i<np; i++)
1011	{
1012	if (bad && (*bad)[i].IsUnsuitable(MBadPixelsPix::kUnsuitableRun))
1013	continue;
1014
1015	const UInt_t sector = geom[i].GetSector();
1016
1017	if (sector != sec)
1018	continue;
1019
1020	const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[i];
1021	const Float_t time = pix.GetAbsTimeMean();
1022
1023	mean += time;
1024	mean2 += time*time;
1025	nr ++;
1026
1027	}
1028
1029	TArrayF arr(2);
1030	arr[0] = nr ? mean/nr : -1;
1031	arr[1] = nr>1 ? TMath::Sqrt((mean2 - mean*mean/nr)/(nr-1)) : 0;
1032	return arr;
1033	}
1034
1035	// --------------------------------------------------------------------------
1036	//
1037	// Calculates the average arrival time RMSs for pixel sizes.
1038	// The geometry container is used to get the necessary
1039	// geometry information (area index).
1040	// If the bad pixel container is given all pixels which have the flag 'kUnsuitableRun' are ignored
1041	// in the calculation of the size average.
1042	//
1043	// Returns a TArrayF of dimension 2:
1044	// arr[0]: averaged arrival time RMSs (default: -1.)
1045	// arr[1]: Error (rms) of averaged arrival time RMSs (default: 0.)
1046	//
1047	TArrayF MCalibrationChargeCam::GetAveragedArrivalTimeRmsPerArea ( const MGeomCam &geom,
1048	const UInt_t ai, MBadPixelsCam *bad)
1049	{
1050
1051	const Int_t np = GetSize();
1052
1053	Double_t mean = 0.;
1054	Double_t mean2 = 0.;
1055	Int_t nr = 0;
1056
1057	for (int i=0; i<np; i++)
1058	{
1059	if (bad && (*bad)[i].IsUnsuitable(MBadPixelsPix::kUnsuitableRun))
1060	continue;
1061
1062	const UInt_t aidx = geom[i].GetAidx();
1063
1064	if (ai != aidx)
1065	continue;
1066
1067	const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[i];
1068	const Float_t rms = pix.GetAbsTimeRms();
1069
1070	mean += rms;
1071	mean2 += rms*rms;
1072	nr ++;
1073
1074	}
1075
1076	TArrayF arr(2);
1077	arr[0] = nr ? mean/nr : -1;
1078	arr[1] = nr>1 ? TMath::Sqrt((mean2 - mean*mean/nr)/(nr-1)) : 0;
1079	return arr;
1080	}
1081
1082	// --------------------------------------------------------------------------
1083	//
1084	// Calculates the average arrival time RMSs for camera sectors.
1085	// The geometry container is used to get the necessary
1086	// geometry information (area index).
1087	// If the bad pixel container is given all pixels which have the flag 'kUnsuitableRun' are ignored
1088	// in the calculation of the size average.
1089	//
1090	// Returns a TArrayF of dimension 2:
1091	// arr[0]: averaged arrival time RMSs (default: -1.)
1092	// arr[1]: Error (rms) of averaged arrival time RMSs (default: 0.)
1093	//
1094	TArrayF MCalibrationChargeCam::GetAveragedArrivalTimeRmsPerSector( const MGeomCam &geom, const UInt_t sec, MBadPixelsCam *bad)
1095	{
1096	const Int_t np = GetSize();
1097
1098	Double_t mean = 0.;
1099	Double_t mean2 = 0.;
1100	Int_t nr = 0;
1101
1102	for (int i=0; i<np; i++)
1103	{
1104	if (bad && (*bad)[i].IsUnsuitable(MBadPixelsPix::kUnsuitableRun))
1105	continue;
1106
1107	const UInt_t sector = geom[i].GetSector();
1108
1109	if (sector != sec)
1110	continue;
1111
1112	const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[i];
1113	const Float_t rms = pix.GetAbsTimeRms();
1114
1115	mean += rms;
1116	mean2 += rms*rms;
1117	nr ++;
1118	}
1119
1120	TArrayF arr(2);
1121	arr[0] = nr ? mean/nr : -1;
1122	arr[1] = nr>1 ? TMath::Sqrt((mean2 - mean*mean/nr)/(nr-1)) : 0;
1123
1124	return arr;
1125	}

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