source: trunk/MagicSoft/Mars/mcalib/MCalibrationChargePix.cc@ 3603

Last change on this file since 3603 was 3603, checked in by gaug, 22 years ago
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1/* ======================================================================== *\
2!
3! *
4! * This file is part of MARS, the MAGIC Analysis and Reconstruction
5! * Software. It is distributed to you in the hope that it can be a useful
6! * and timesaving tool in analysing Data of imaging Cerenkov telescopes.
7! * It is distributed WITHOUT ANY WARRANTY.
8! *
9! * Permission to use, copy, modify and distribute this software and its
10! * documentation for any purpose is hereby granted without fee,
11! * provided that the above copyright notice appear in all copies and
12! * that both that copyright notice and this permission notice appear
13! * in supporting documentation. It is provided "as is" without express
14! * or implied warranty.
15! *
16!
17!
18! Author(s): Markus Gaug 02/2004 <mailto:markus@ifae.es>
19!
20! Copyright: MAGIC Software Development, 2000-2004
21!
22\* ======================================================================== */
23/////////////////////////////////////////////////////////////////////////////
24// //
25// MCalibrationChargePix //
26// //
27// Storage container to hold informations about the calibration values //
28// values of one Pixel (PMT). //
29// //
30// The following values are initialized to meaningful values:
31//
32// - The Electronic Rms to 1.5 per FADC slice
33// - The uncertainty about the Electronic RMS to 0.3 per slice
34// - The F-Factor is assumed to have been measured in Munich to 1.13 - 1.17.
35// with the Munich definition of the F-Factor, thus:
36// F = Sigma(Out)/Mean(Out) * Mean(In)/Sigma(In)
37// Mean F-Factor = 1.15
38// Error F-Factor = 0.02
39//
40// - Average QE: (email David Paneque, 14.2.04):
41//
42// The conversion factor that comes purely from QE folded to a Cherenkov
43// spectrum has to be multiplied by:
44// * Plexiglass window -->> 0.96 X 0.96
45// * PMT photoelectron collection efficiency -->> 0.9
46// * Light guides efficiency -->> 0.94
47//
48// Concerning the light guides effiency estimation... Daniel Ferenc
49// is preparing some work (simulations) to estimate it. Yet so far, he has
50// been busy with other stuff, and this work is still UNfinished.
51//
52// The estimation I did comes from:
53// 1) Reflectivity of light guide walls is 85 % (aluminum)
54// 2) At ZERO degree light incidence, 37% of the light hits such walls
55// (0.15X37%= 5.6% of light lost)
56// 3) When increasing the light incidence angle, more and more light hits
57// the walls.
58//
59// However, the loses due to larger amount of photons hitting the walls is more
60// or less counteracted by the fact that more and more photon trajectories cross
61// the PMT photocathode twice, increasing the effective sensitivity of the PMT.
62//
63// Jurgen Gebauer did some quick measurements about this issue. I attach a
64// plot. You can see that the angular dependence is (more or less) in agreement
65// with a CosTheta function (below 20-25 degrees),
66// which is the variation of teh entrance window cross section. So, in
67// first approximation, no loses when increasing light incidence angle;
68// and therefore, the factor 0.94.
69//
70// So, summarizing... I would propose the following conversion factors
71// (while working with CT1 cal box) in order to get the final number of photons
72// from the detected measured size in ADC counts.
73//
74// Nph = ADC * FmethodConversionFactor / ConvPhe-PhFactor
75//
76// FmethodConversionFactor ; measured for individual pmts
77//
78// ConvPhe-PhFactor = 0.98 * 0.23 * 0.90 * 0.94 * 0.96 * 0.96 = 0.18
79//
80// I would not apply any smearing of this factor (which we have in nature),
81// since we might be applying it to PMTs in the totally wrong direction.
82//
83//
84// Error of all variables are calculated by error-propagation. Note that internally,
85// all error variables contain Variances in order to save the CPU-intensive square rooting
86//
87/////////////////////////////////////////////////////////////////////////////
88#include "MCalibrationChargePix.h"
89
90#include "MLog.h"
91#include "MLogManip.h"
92
93#include "MBadPixelsPix.h"
94
95ClassImp(MCalibrationChargePix);
96
97using namespace std;
98
99const Float_t MCalibrationChargePix::gkElectronicPedRms = 1.5;
100const Float_t MCalibrationChargePix::gkElectronicPedRmsErr = 0.3;
101const Float_t MCalibrationChargePix::gkFFactor = 1.15;
102const Float_t MCalibrationChargePix::gkFFactorErr = 0.02;
103
104const Float_t MCalibrationChargePix::gkConversionHiLo = 10.;
105const Float_t MCalibrationChargePix::gkConversionHiLoErr = 2.5;
106
107const Float_t MCalibrationChargePix::fgPheFFactorMethodLimit = 5.;
108// --------------------------------------------------------------------------
109//
110// Default Constructor:
111//
112MCalibrationChargePix::MCalibrationChargePix(const char *name, const char *title)
113 : fPixId(-1),
114 fFlags(0)
115{
116
117 fName = name ? name : "MCalibrationChargePix";
118 fTitle = title ? title : "Container of the fit results of MHCalibrationChargePixs ";
119
120 Clear();
121
122 //
123 // At the moment, we don't have a database, yet,
124 // so we get it from the configuration file
125 //
126 SetConversionHiLo();
127 SetConversionHiLoErr();
128
129 SetPheFFactorMethodLimit();
130
131}
132
133// ------------------------------------------------------------------------
134//
135// Invalidate values
136//
137void MCalibrationChargePix::Clear(Option_t *o)
138{
139
140 SetHiGainSaturation ( kFALSE );
141 SetLoGainSaturation ( kFALSE );
142 SetExcluded ( kFALSE );
143 SetBlindPixelMethodValid ( kFALSE );
144 SetFFactorMethodValid ( kFALSE );
145 SetPINDiodeMethodValid ( kFALSE );
146 SetCombinedMethodValid ( kFALSE );
147
148 fHiGainMeanCharge = -1.;
149 fHiGainMeanChargeVar = -1.;
150 fHiGainSigmaCharge = -1.;
151 fHiGainSigmaChargeVar = -1.;
152 fHiGainChargeProb = -1.;
153
154 fLoGainMeanCharge = -1.;
155 fLoGainMeanChargeVar = -1.;
156 fLoGainSigmaCharge = -1.;
157 fLoGainSigmaChargeVar = -1.;
158 fLoGainChargeProb = -1.;
159
160 fRSigmaCharge = -1.;
161 fRSigmaChargeVar = -1.;
162
163 fHiGainNumPickup = -1;
164 fLoGainNumPickup = -1;
165
166 fPed = -1.;
167 fPedRms = -1.;
168 fPedVar = -1.;
169
170 fLoGainPedRms = -1.;
171 fLoGainPedRmsVar = -1.;
172
173 fAbsTimeMean = -1.;
174 fAbsTimeRms = -1.;
175
176 fPheFFactorMethod = -1.;
177 fPheFFactorMethodVar = -1.;
178
179 fMeanConversionFFactorMethod = -1.;
180 fMeanConversionBlindPixelMethod = -1.;
181 fMeanConversionPINDiodeMethod = -1.;
182 fMeanConversionCombinedMethod = -1.;
183
184 fConversionFFactorMethodVar = -1.;
185 fConversionBlindPixelMethodVar = -1.;
186 fConversionPINDiodeMethodVar = -1.;
187 fConversionCombinedMethodVar = -1.;
188
189 fSigmaConversionFFactorMethod = -1.;
190 fSigmaConversionBlindPixelMethod = -1.;
191 fSigmaConversionPINDiodeMethod = -1.;
192 fSigmaConversionCombinedMethod = -1.;
193
194 fTotalFFactorFFactorMethod = -1.;
195 fTotalFFactorBlindPixelMethod = -1.;
196 fTotalFFactorPINDiodeMethod = -1.;
197 fTotalFFactorCombinedMethod = -1.;
198
199}
200
201
202// --------------------------------------------------------------------------
203//
204// Set the pedestals from outside
205//
206void MCalibrationChargePix::SetPedestal(const Float_t ped, const Float_t pedrms, const Float_t pederr)
207{
208
209 fPed = ped;
210 fPedRms = pedrms;
211 fPedVar = pederr*pederr;
212}
213
214
215void MCalibrationChargePix::SetMeanCharge( const Float_t f )
216{
217 if (IsHiGainSaturation())
218 fLoGainMeanCharge = f;
219 else
220 fHiGainMeanCharge = f;
221}
222
223void MCalibrationChargePix::SetMeanChargeErr( const Float_t f )
224{
225 if (IsHiGainSaturation())
226 fLoGainMeanChargeVar = f*f;
227 else
228 fHiGainMeanChargeVar = f*f;
229
230}
231
232void MCalibrationChargePix::SetSigmaCharge( const Float_t f )
233{
234 if (IsHiGainSaturation())
235 fLoGainSigmaCharge = f;
236 else
237 fHiGainSigmaCharge = f;
238}
239
240
241void MCalibrationChargePix::SetSigmaChargeErr( const Float_t f )
242{
243 if (IsHiGainSaturation())
244 fLoGainSigmaChargeVar = f*f;
245 else
246 fHiGainSigmaChargeVar = f*f;
247
248}
249
250// --------------------------------------------------------------------------
251//
252// Set the conversion factors from outside (only for MC)
253//
254void MCalibrationChargePix::SetConversionFFactorMethod(Float_t c, Float_t err, Float_t sig)
255{
256 fMeanConversionFFactorMethod = c;
257 fConversionFFactorMethodVar = err*err;
258 fSigmaConversionFFactorMethod = sig;
259}
260
261// --------------------------------------------------------------------------
262//
263// Set the conversion factors from outside (only for MC)
264//
265void MCalibrationChargePix::SetConversionCombinedMethod(Float_t c, Float_t err, Float_t sig)
266{
267 fMeanConversionCombinedMethod = c;
268 fConversionCombinedMethodVar = err*err;
269 fSigmaConversionCombinedMethod = sig;
270}
271
272
273// --------------------------------------------------------------------------
274//
275// Set the conversion factors from outside (only for MC)
276//
277void MCalibrationChargePix::SetConversionBlindPixelMethod(Float_t c, Float_t err, Float_t sig)
278{
279 fMeanConversionBlindPixelMethod = c;
280 fConversionBlindPixelMethodVar = err*err;
281 fSigmaConversionBlindPixelMethod = sig;
282}
283
284// --------------------------------------------------------------------------
285//
286// Set the conversion factors from outside (only for MC)
287//
288void MCalibrationChargePix::SetConversionPINDiodeMethod(Float_t c, Float_t err, Float_t sig)
289{
290 fMeanConversionPINDiodeMethod = c ;
291 fConversionPINDiodeMethodVar = err*err;
292 fSigmaConversionPINDiodeMethod = sig;
293}
294
295// --------------------------------------------------------------------------
296//
297// Set the Hi Gain Saturation Bit from outside
298//
299void MCalibrationChargePix::SetHiGainSaturation(Bool_t b)
300{
301 b ? SETBIT(fFlags, kHiGainSaturation) : CLRBIT(fFlags, kHiGainSaturation);
302}
303
304// --------------------------------------------------------------------------
305//
306// Set the Lo Gain Saturation Bit from outside
307//
308void MCalibrationChargePix::SetLoGainSaturation(Bool_t b)
309{
310 b ? SETBIT(fFlags, kLoGainSaturation) : CLRBIT(fFlags, kLoGainSaturation);
311}
312
313// --------------------------------------------------------------------------
314//
315// Set the Excluded Bit from outside
316//
317void MCalibrationChargePix::SetExcluded(Bool_t b )
318{
319 b ? SETBIT(fFlags, kExcluded) : CLRBIT(fFlags, kExcluded);
320}
321
322
323// --------------------------------------------------------------------------
324//
325// Set the Excluded Bit from outside
326//
327void MCalibrationChargePix::SetBlindPixelMethodValid(const Bool_t b )
328{
329 b ? SETBIT(fFlags, kBlindPixelMethodValid) : CLRBIT(fFlags, kBlindPixelMethodValid);
330}
331
332// --------------------------------------------------------------------------
333//
334// Set the Excluded Bit from outside
335//
336void MCalibrationChargePix::SetFFactorMethodValid(const Bool_t b )
337{
338 b ? SETBIT(fFlags, kFFactorMethodValid) : CLRBIT(fFlags, kFFactorMethodValid);
339}
340
341// --------------------------------------------------------------------------
342//
343// Set the Excluded Bit from outside
344//
345void MCalibrationChargePix::SetPINDiodeMethodValid(const Bool_t b )
346{
347 b ? SETBIT(fFlags, kPINDiodeMethodValid) : CLRBIT(fFlags, kPINDiodeMethodValid);
348}
349
350// --------------------------------------------------------------------------
351//
352// Set the Excluded Bit from outside
353//
354void MCalibrationChargePix::SetCombinedMethodValid(const Bool_t b )
355{
356 b ? SETBIT(fFlags, kCombinedMethodValid) : CLRBIT(fFlags, kCombinedMethodValid);
357}
358
359
360Float_t MCalibrationChargePix::GetPedRms() const
361{
362 return IsHiGainSaturation() ? fLoGainPedRms : fPedRms;
363}
364
365Float_t MCalibrationChargePix::GetPedRmsErr() const
366{
367 return IsHiGainSaturation() ? TMath::Sqrt(fLoGainPedRmsVar) : TMath::Sqrt(fPedVar)/2.;
368}
369
370Float_t MCalibrationChargePix::GetPedErr() const
371{
372 return TMath::Sqrt(fPedVar);
373}
374
375Float_t MCalibrationChargePix::GetMeanCharge() const
376{
377 return IsHiGainSaturation() ? GetLoGainMeanCharge() : GetHiGainMeanCharge() ;
378}
379
380Float_t MCalibrationChargePix::GetMeanChargeErr() const
381{
382 return IsHiGainSaturation() ? GetLoGainMeanChargeErr() : GetHiGainMeanChargeErr() ;
383}
384
385Float_t MCalibrationChargePix::GetChargeProb() const
386{
387 return IsHiGainSaturation() ? fLoGainChargeProb : fHiGainChargeProb ;
388}
389
390Float_t MCalibrationChargePix::GetSigmaCharge() const
391{
392 return IsHiGainSaturation() ? GetLoGainSigmaCharge() : GetHiGainSigmaCharge() ;
393}
394
395Float_t MCalibrationChargePix::GetSigmaChargeErr() const
396{
397 return IsHiGainSaturation() ? GetLoGainSigmaChargeErr() : GetHiGainSigmaChargeErr() ;
398}
399
400Float_t MCalibrationChargePix::GetHiGainMeanChargeErr() const
401{
402 return TMath::Sqrt(fHiGainMeanChargeVar);
403}
404
405Float_t MCalibrationChargePix::GetLoGainMeanCharge() const
406{
407 return fLoGainMeanCharge * fConversionHiLo;
408}
409
410Float_t MCalibrationChargePix::GetLoGainMeanChargeErr() const
411{
412
413 const Float_t chargeRelVar = fLoGainMeanChargeVar
414 /( fLoGainMeanCharge * fLoGainMeanCharge );
415
416 const Float_t conversionRelVar = fConversionHiLoVar
417 /( fConversionHiLo * fConversionHiLo );
418
419 return TMath::Sqrt(chargeRelVar+conversionRelVar) * GetLoGainMeanCharge();
420}
421
422Float_t MCalibrationChargePix::GetLoGainSigmaCharge() const
423{
424 return fLoGainSigmaCharge * fConversionHiLo;
425}
426
427Float_t MCalibrationChargePix::GetLoGainSigmaChargeErr() const
428{
429
430 const Float_t sigmaRelVar = fLoGainSigmaChargeVar
431 /( fLoGainSigmaCharge * fLoGainSigmaCharge );
432
433 const Float_t conversionRelVar = fConversionHiLoVar
434 /( fConversionHiLo * fConversionHiLo );
435
436 return TMath::Sqrt(sigmaRelVar+conversionRelVar) * GetLoGainSigmaCharge();
437}
438
439Float_t MCalibrationChargePix::GetHiGainSigmaChargeErr() const
440{
441 return TMath::Sqrt(fHiGainSigmaChargeVar);
442}
443
444Float_t MCalibrationChargePix::GetRSigmaCharge() const
445{
446 return IsHiGainSaturation() ? fRSigmaCharge*fConversionHiLo : fRSigmaCharge ;
447}
448
449Float_t MCalibrationChargePix::GetRSigmaChargeErr() const
450{
451 if (IsHiGainSaturation())
452 {
453 const Float_t rsigmaRelVar = fRSigmaChargeVar
454 /( fRSigmaCharge * fRSigmaCharge );
455 const Float_t conversionRelVar = fConversionHiLoVar
456 /( fConversionHiLo * fConversionHiLo );
457 return TMath::Sqrt(rsigmaRelVar+conversionRelVar) * GetRSigmaCharge();
458 }
459 else
460 return TMath::Sqrt(fRSigmaChargeVar);
461
462}
463
464Float_t MCalibrationChargePix::GetConversionHiLoErr() const
465{
466 if (fConversionHiLoVar < 0.)
467 return -1.;
468 return TMath::Sqrt(fConversionHiLoVar);
469}
470
471Float_t MCalibrationChargePix::GetPheFFactorMethodErr() const
472{
473 if (fPheFFactorMethodVar < 0.)
474 return -1.;
475 return TMath::Sqrt(fPheFFactorMethodVar);
476}
477
478Float_t MCalibrationChargePix::GetConversionCombinedMethodErr() const
479{
480 if (fConversionCombinedMethodVar < 0.)
481 return -1.;
482 return TMath::Sqrt(fConversionCombinedMethodVar);
483}
484
485Float_t MCalibrationChargePix::GetConversionPINDiodeMethodErr() const
486{
487 if (fConversionPINDiodeMethodVar < 0.)
488 return -1.;
489 return TMath::Sqrt(fConversionPINDiodeMethodVar);
490}
491
492Float_t MCalibrationChargePix::GetConversionBlindPixelMethodErr() const
493{
494 if (fConversionBlindPixelMethodVar < 0.)
495 return -1.;
496 return TMath::Sqrt(fConversionBlindPixelMethodVar);
497}
498
499Float_t MCalibrationChargePix::GetConversionFFactorMethodErr() const
500{
501 if (fConversionFFactorMethodVar < 0.)
502 return -1.;
503 return TMath::Sqrt(fConversionFFactorMethodVar);
504}
505
506Float_t MCalibrationChargePix::GetTotalFFactorCombinedMethodErr() const
507{
508 if (fTotalFFactorCombinedMethodVar < 0.)
509 return -1.;
510 return TMath::Sqrt(fTotalFFactorCombinedMethodVar);
511}
512
513Float_t MCalibrationChargePix::GetTotalFFactorPINDiodeMethodErr() const
514{
515 if (fTotalFFactorPINDiodeMethodVar < 0.)
516 return -1.;
517 return TMath::Sqrt(fTotalFFactorPINDiodeMethodVar);
518}
519
520Float_t MCalibrationChargePix::GetTotalFFactorBlindPixelMethodErr() const
521{
522 if (fTotalFFactorBlindPixelMethodVar < 0.)
523 return -1.;
524 return TMath::Sqrt(fTotalFFactorBlindPixelMethodVar);
525}
526
527Float_t MCalibrationChargePix::GetTotalFFactorFFactorMethodErr() const
528{
529 if (fTotalFFactorFFactorMethodVar < 0.)
530 return -1.;
531 return TMath::Sqrt(fTotalFFactorFFactorMethodVar);
532}
533
534Bool_t MCalibrationChargePix::IsExcluded() const
535{
536 return TESTBIT(fFlags,kExcluded);
537}
538
539Bool_t MCalibrationChargePix::IsHiGainSaturation() const
540{
541 return TESTBIT(fFlags,kHiGainSaturation);
542}
543
544Bool_t MCalibrationChargePix::IsLoGainSaturation() const
545{
546 return TESTBIT(fFlags,kLoGainSaturation);
547}
548
549Bool_t MCalibrationChargePix::IsBlindPixelMethodValid() const
550{
551 return TESTBIT(fFlags, kBlindPixelMethodValid);
552}
553
554Bool_t MCalibrationChargePix::IsFFactorMethodValid() const
555{
556 return TESTBIT(fFlags, kFFactorMethodValid);
557}
558
559Bool_t MCalibrationChargePix::IsPINDiodeMethodValid() const
560{
561 return TESTBIT(fFlags, kPINDiodeMethodValid);
562}
563
564Bool_t MCalibrationChargePix::IsCombinedMethodValid() const
565{
566 return TESTBIT(fFlags, kCombinedMethodValid);
567}
568
569//
570//
571//
572Bool_t MCalibrationChargePix::CalcReducedSigma()
573{
574
575 const Float_t sigmacharge = IsHiGainSaturation() ? fLoGainSigmaCharge : fHiGainSigmaCharge ;
576 const Float_t sigmachargevar = IsHiGainSaturation() ? fLoGainSigmaChargeVar : fHiGainSigmaChargeVar;
577
578 const Float_t sigmaSquare = sigmacharge * sigmacharge;
579 const Float_t sigmaSquareVar = 4.* sigmachargevar * sigmaSquare;
580
581 Float_t pedRmsSquare ;
582 Float_t pedRmsSquareVar;
583
584 if (IsHiGainSaturation())
585 {
586 pedRmsSquare = fLoGainPedRms * fLoGainPedRms;
587 pedRmsSquareVar = 4.* fLoGainPedRmsVar * pedRmsSquare;
588 }
589 else
590 {
591 pedRmsSquare = fPedRms * fPedRms;
592 pedRmsSquareVar = fPedVar * pedRmsSquare; // fPedRmsErr = fPedErr/2.
593 }
594 //
595 // Calculate the reduced sigmas
596 //
597 const Float_t rsigmachargesquare = sigmaSquare - pedRmsSquare;
598 if (rsigmachargesquare <= 0.)
599 {
600 *fLog << warn
601 << "WARNING: Cannot calculate the reduced sigma: smaller than 0 in pixel "
602 << fPixId << endl;
603 return kFALSE;
604 }
605
606
607 fRSigmaCharge = TMath::Sqrt(rsigmachargesquare);
608 fRSigmaChargeVar = 0.25 * (sigmaSquareVar + pedRmsSquareVar) / rsigmachargesquare;
609
610 return kTRUE;
611}
612
613//
614// Calculate the number of photo-electrons after the F-Factor method
615// Calculate the errors of the F-Factor method
616//
617Bool_t MCalibrationChargePix::CalcFFactorMethod()
618{
619
620 if (fRSigmaCharge < 0.)
621 {
622 SetFFactorMethodValid(kFALSE);
623 return kFALSE;
624 }
625
626 const Float_t charge = IsHiGainSaturation() ? fLoGainMeanCharge : fHiGainMeanCharge ;
627 const Float_t chargevar = IsHiGainSaturation() ? fLoGainMeanChargeVar : fHiGainMeanChargeVar;
628
629 //
630 // Square all variables in order to avoid applications of square root
631 //
632 // First the relative error squares
633 //
634 const Float_t chargeSquare = charge * charge;
635 const Float_t chargeSquareRelVar = 4.* chargevar/ chargeSquare;
636
637 const Float_t ffactorsquare = gkFFactor * gkFFactor;
638 const Float_t ffactorsquareRelVar = 4.*gkFFactorErr * gkFFactorErr / ffactorsquare;
639
640 const Float_t rsigmaSquare = fRSigmaCharge * fRSigmaCharge;
641 const Float_t rsigmaSquareRelVar = 4.* fRSigmaChargeVar / rsigmaSquare;
642
643 //
644 // Calculate the number of phe's from the F-Factor method
645 // (independent on Hi Gain or Lo Gain)
646 //
647 fPheFFactorMethod = ffactorsquare * chargeSquare / rsigmaSquare;
648
649 if (fPheFFactorMethod < fPheFFactorMethodLimit)
650 {
651 SetFFactorMethodValid(kFALSE);
652 return kFALSE;
653 }
654
655 //
656 // Calculate the Error of Nphe
657 //
658 fPheFFactorMethodVar = (ffactorsquareRelVar + chargeSquareRelVar + rsigmaSquareRelVar)
659 * fPheFFactorMethod * fPheFFactorMethod;
660
661 SetFFactorMethodValid(kTRUE);
662 return kTRUE;
663}
664
665
666void MCalibrationChargePix::CalcLoGainPedestal(Float_t logainsamples)
667{
668
669 fElectronicPedRms = gkElectronicPedRms * TMath::Sqrt(logainsamples);
670 fElectronicPedRmsVar = gkElectronicPedRmsErr * gkElectronicPedRmsErr * logainsamples;
671
672 Float_t pedRmsSquare = fPedRms * fPedRms;
673 Float_t pedRmsSquareVar = fPedVar * pedRmsSquare; // fPedRmsErr = fPedErr/2.
674
675 //
676 // We do not know the Lo Gain Pedestal RMS, so we have to retrieve it
677 // from the HI GAIN (all calculation per slice up to now):
678 //
679 // We extract the pure NSB contribution:
680 //
681 const Float_t elecRmsSquare = fElectronicPedRms * fElectronicPedRms;
682 const Float_t elecRmsSquareVar = 4.*fElectronicPedRmsVar * elecRmsSquare;
683
684 Float_t nsbSquare = pedRmsSquare - elecRmsSquare;
685 Float_t nsbSquareRelVar = (pedRmsSquareVar + elecRmsSquareVar)
686 / (nsbSquare * nsbSquare) ;
687
688 if (nsbSquare < 0.)
689 nsbSquare = 0.;
690
691 //
692 // Now, we divide the NSB by the conversion factor and
693 // add it quadratically to the electronic noise
694 //
695 const Float_t conversionSquare = fConversionHiLo * fConversionHiLo;
696 const Float_t convertedNsbSquare = nsbSquare / conversionSquare;
697 const Float_t convertedNsbSquareVar = nsbSquareRelVar
698 * convertedNsbSquare * convertedNsbSquare;
699
700 pedRmsSquare = convertedNsbSquare + elecRmsSquare;
701 pedRmsSquareVar = convertedNsbSquareVar + elecRmsSquareVar;
702
703 fLoGainPedRms = TMath::Sqrt(pedRmsSquare);
704 fLoGainPedRmsVar = 0.25 * pedRmsSquareVar / pedRmsSquare;
705
706}
707
708
709
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