source: trunk/MagicSoft/Mars/mpedestal/MExtractPedestal.cc@ 6217

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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 01/2004 <mailto:markus@ifae.es>
19!
20! Copyright: MAGIC Software Development, 2000-2004
21!
22!
23\* ======================================================================== */
24
25/////////////////////////////////////////////////////////////////////////////
26//
27// MExtractPedestal
28//
29// Pedestal Extractor base class
30//
31// Input Containers:
32// MRawEvtData
33// MRawRunHeader
34// MRawEvtHeader
35// MGeomCam
36// MPedestalCam
37//
38// Output Containers:
39// MPedestalCam
40//
41// This class should be used for pedestal extractors with the following facilities:
42// a) Standardized calculation of AB-noise, mean pedestals and RMS
43// b) Standardized treatment of area- and sector averaged pedestals values
44// c) Possibility to use a signal extractor to be applied on the pedestals
45// d) Possibility to handle two MPedestalCams: one for the signal extractor and
46// a second to be filled during the pedestal calculating process.
47//
48// ad a): Every calculated value is referred to one FADC slice (e.g. Mean pedestal per slice),
49// RMS per slice.
50// MExtractPedestal applies the following formula (1):
51//
52// Pedestal per slice = sum(x_i) / n / slices
53// PedRMS per slice = Sqrt( ( sum(x_i^2) - sum(x_i)^2/n ) / n-1 / slices )
54// AB-Offset per slice = (sumAB0 - sumAB1) / n / slices
55//
56// where x_i is the sum of "slices" FADC slices and sum means the sum over all
57// events. "n" is the number of events, "slices" is the number of summed FADC samples.
58//
59// Note that the slice-to-slice fluctuations are not Gaussian, but Poissonian, thus
60// asymmetric and they are correlated.
61//
62// It is important to know that the Pedestal per slice and PedRMS per slice depend
63// on the number of used FADC slices, as seen in the following plots:
64//
65//Begin_Html
66/*
67<img src="images/PedestalStudyInner.gif">
68*/
69//End_Html
70//
71//Begin_Html
72/*
73<img src="images/PedestalStudyOuter.gif">
74*/
75//End_Html
76//
77// The plots show the inner and outer pixels, respectivly and have the following meaning:
78//
79// 1) The calculated mean pedestal per slice (from MPedCalcPedRun)
80// 2) The fitted mean pedestal per slice (from MHPedestalCam)
81// 3) The calculated pedestal RMS per slice (from MPedCalcPedRun)
82// 4) The fitted sigma of the pedestal distribution per slice
83// (from MHPedestalCam)
84// 5) The relative difference between calculation and histogram fit
85// for the mean
86// 6) The relative difference between calculation and histogram fit
87// for the sigma or RMS, respectively.
88//
89// The calculated means do not change significantly except for the case of 2 slices,
90// however the RMS changes from 5.7 per slice in the case of 2 extracted slices
91// to 8.3 per slice in the case of 26 extracted slices. This change is very significant.
92//
93// ad b) Every calculated value is referred to one FADC slice and one (averaged) pixel,
94// (e.g. Mean Pedestal per area index per slice per pixel, etc. )
95//
96// MExtractPedestal applies the following formula (2):
97//
98// Averaged Pedestal per slice = sum(x_i) / n / slices / n_pix
99// PedRMS per slice = Sqrt( ( sum(x_i^2) - sum(x_i)^2/n ) / n-1 / slices / n_pix )
100// AB-Offset per slice = (sumAB0 - sumAB1) / n / slices / n_pix
101//
102// where x_i is the sum of "slices" FADC slices and sum means the sum over all
103// events and all concerned pixels.
104// "n" is the number of events, "slices" is the number of summed FADC samples and
105// "n_pix" is the number of pixels belonging to the specific area index or camera sector.
106//
107// Calculating these averaged event-by-event values is very important to trace coherent
108// fluctuations. An example is given in the following plots:
109//
110//Begin_Html
111/*
112<img src="images/PedestalOscillations.gif">
113*/
114//End_Html
115//
116// The plots show the extracted pedestals of the inner pixels (obtained
117// with MHPedestalCam), averaged on an event-by-event basis from
118// run 13428 with switched off camera LV.
119// The meaning of the four plots is:
120//
121// 1) The distribution of the averaged pedestals
122// 2) The averaged pedestals vs. time.
123// One can see clearly the oscillation pattern
124// 3) The fourier transform of the averaged pedestals vs. time.
125// One can see clearly a peak at a certain frequency
126// 4) The projection of the fourier components with the non-exponential
127// (and therefore significant) outlier.
128//
129// ad c) Many signal extractors, especially those using a sliding window
130// have biases and their resolutions for zero-signals do not agree
131// with the pedestal RMS. For the F-Factor method in the calibration
132// and the image cleaning, however, both have to be known and measured.
133//
134// For this reason, a signal extractor can be handed over to the
135// pedestal extractor and applied on the pedestal events with the
136// function SetExtractor().
137// The results will get stored in an MPedestalCam.
138//
139// Note that only extractors deriving from MExtractTimeAndCharge
140// can be used.
141//
142// ad d) The signal extractors themselves need a pedestal to be subtracted
143// from the FADC slices.
144// If the user wishes that the pededestals do not get overwritten by
145// the results from the signal extractor, a different named MPedestalCam
146// can be created with the function: SetNamePedestalOut().
147//
148// See also: MPedestalCam, MPedestalPix, MPedCalcPedRun, MPedCalcFromLoGain
149//
150/////////////////////////////////////////////////////////////////////////////
151#include "MExtractPedestal.h"
152
153#include "MParList.h"
154
155#include "MLog.h"
156#include "MLogManip.h"
157
158#include "MRawRunHeader.h"
159#include "MRawEvtHeader.h"
160#include "MRawEvtPixelIter.h"
161#include "MRawEvtData.h"
162
163#include "MPedestalPix.h"
164#include "MPedestalCam.h"
165
166#include "MGeomPix.h"
167#include "MGeomCam.h"
168
169#include "MTaskEnv.h"
170#include "MExtractTimeAndCharge.h"
171
172ClassImp(MExtractPedestal);
173
174using namespace std;
175
176const TString MExtractPedestal::fgNamePedestalCam = "MPedestalCam";
177
178// --------------------------------------------------------------------------
179//
180// Default constructor:
181//
182// Sets:
183// - all pointers to NULL
184//
185// Calls:
186// - AddToBranchList("fHiGainPixId");
187// - AddToBranchList("fHiGainFadcSamples");
188// - Clear()
189//
190MExtractPedestal::MExtractPedestal(const char *name, const char *title)
191 : fRandomCalculation(kTRUE), fGeom(NULL), fPedestalsIn(NULL), fPedestalsOut(NULL),
192 fExtractor(NULL), fExtractWinFirst(0), fExtractWinSize(0)
193{
194 fName = name ? name : "MExtractPedestal";
195 fTitle = title ? title : "Base class to calculate pedestals";
196
197 AddToBranchList("fHiGainPixId");
198 AddToBranchList("fLoGainPixId");
199 AddToBranchList("fHiGainFadcSamples");
200 AddToBranchList("fLoGainFadcSamples");
201
202 SetPedestalUpdate(kTRUE);
203
204 SetNamePedestalCamIn();
205 SetNamePedestalCamOut();
206 SetNumDump();
207
208 Clear();
209}
210
211void MExtractPedestal::ResetArrays()
212{
213 // Reset contents of arrays.
214 fSumx.Reset();
215 fSumx2.Reset();
216 fSumAB0.Reset();
217 fSumAB1.Reset();
218 fAreaSumx.Reset();
219 fAreaSumx2.Reset();
220 fAreaSumAB0.Reset();
221 fAreaSumAB1.Reset();
222 fAreaFilled.Reset();
223 fAreaValid.Reset();
224 fSectorSumx.Reset();
225 fSectorSumx2.Reset();
226 fSectorSumAB0.Reset();
227 fSectorSumAB1.Reset();
228 fSectorFilled.Reset();
229 fSectorValid.Reset();
230
231}
232
233// --------------------------------------------------------------------------
234//
235// Resets Arrays:
236//
237// Sets:
238// - fRawEvt to NULL
239// - fRunHeader to NULL
240// - fEvtHeader to NULL
241// - fPedestalsIn to NULL
242// - fPedestalsOut to NULL
243//
244void MExtractPedestal::Clear(const Option_t *o)
245{
246
247 fRawEvt = NULL;
248 fRunHeader = NULL;
249 fEvtHeader = NULL;
250
251 // If the size is yet set, set the size
252 if (fSumx.GetSize()>0)
253 ResetArrays();
254
255}
256
257// --------------------------------------------------------------------------
258//
259// Checks:
260// - if a window is odd
261//
262Bool_t MExtractPedestal::SetExtractWindow(UShort_t windowf, UShort_t windows)
263{
264
265 Bool_t rc = kTRUE;
266
267 const Int_t odd = windows & 0x1;
268
269 if (odd)
270 {
271 *fLog << warn << GetDescriptor();
272 *fLog << " - WARNING: Window size in SetExtraxtWindow has to be even... ";
273 *fLog << " raising from " << windows << " to ";
274 windows += 1;
275 *fLog << windows << "!" << endl;
276 rc = kFALSE;
277 }
278
279 if (windows==0)
280 {
281 *fLog << warn << GetDescriptor();
282 *fLog << " - WARNING: Window size in SetExtraxtWindow has to be > 0... adjusting to 2!" << endl;
283 windows = 2;
284 rc = kFALSE;
285 }
286
287 fExtractWinSize = windows;
288 fExtractWinFirst = windowf;
289 fExtractWinLast = fExtractWinFirst+fExtractWinSize-1;
290
291 return rc;
292}
293
294// --------------------------------------------------------------------------
295//
296// Look for the following input containers:
297//
298// - MRawEvtData
299// - MRawRunHeader
300// - MRawEvtHeader
301// - MGeomCam
302//
303// The following output containers are also searched and created if
304// they were not found:
305//
306// - MPedestalCam with the name fPedContainerName
307//
308Int_t MExtractPedestal::PreProcess(MParList *pList)
309{
310
311 Clear();
312
313 fRawEvt = (MRawEvtData*)pList->FindObject(AddSerialNumber("MRawEvtData"));
314 if (!fRawEvt)
315 {
316 *fLog << err << AddSerialNumber("MRawEvtData") << " not found... aborting." << endl;
317 return kFALSE;
318 }
319
320 fRunHeader = (MRawRunHeader*)pList->FindObject(AddSerialNumber("MRawRunHeader"));
321 if (!fRunHeader)
322 {
323 *fLog << err << AddSerialNumber("MRawRunHeader") << " not found... aborting." << endl;
324 return kFALSE;
325 }
326
327 fEvtHeader = (MRawEvtHeader*)pList->FindObject(AddSerialNumber("MRawEvtHeader"));
328 if (!fEvtHeader)
329 {
330 *fLog << err << AddSerialNumber("MRawEvtHeader") << " not found... aborting." << endl;
331 return kFALSE;
332 }
333
334 fGeom = (MGeomCam*)pList->FindObject(AddSerialNumber("MGeomCam"));
335 if (!fGeom)
336 {
337 *fLog << err << AddSerialNumber("MGeomCam") << " not found... aborting." << endl;
338 return kFALSE;
339 }
340
341 if (fExtractor && !fPedestalsIn)
342 {
343 fPedestalsIn = (MPedestalCam*)pList->FindObject(AddSerialNumber(fNamePedestalCamIn), "MPedestalCam");
344 if (!fPedestalsIn)
345 {
346 *fLog << err << AddSerialNumber(fNamePedestalCamIn) << " not found... aborting." << endl;
347 return kFALSE;
348 }
349 }
350
351 if (!fPedestalsOut)
352 {
353 fPedestalsOut = (MPedestalCam*)pList->FindCreateObj("MPedestalCam", AddSerialNumber(fNamePedestalCamOut));
354 if (!fPedestalsOut)
355 return kFALSE;
356 }
357
358 *fLog << inf;
359 Print();
360
361 // FIMXE: MUST call fExtractor->PreProcess()???
362 return kTRUE;
363}
364
365Int_t MExtractPedestal::Process()
366{
367 if (fExtractor)
368 fExtractor->SetNoiseCalculation(fRandomCalculation);
369
370 const Int_t rc = Calc();
371
372 if (fExtractor)
373 fExtractor->SetNoiseCalculation(kFALSE);
374
375 return rc;
376}
377
378// ---------------------------------------------------------------------------------
379//
380// Sets the size (from MPedestalCam::GetSize() ) and resets the following arrays:
381// - fSumx
382// - fSumx2
383// - fSumAB0
384// - fSumAB1
385// - fAreaSumx
386// - fAreaSumx2
387// - fAreaSumAB0
388// - fAreaSumAB1
389// - fAreaFilled
390// - fAreaValid
391// - fSectorSumx
392// - fSectorSumx2
393// - fSectorSumAB0
394// - fSectorSumAB1
395// - fSectorFilled
396// - fSectorValid
397//
398Bool_t MExtractPedestal::ReInit(MParList *pList)
399{
400 // If the size is not yet set, set the size
401 if (fSumx.GetSize()==0)
402 {
403 const Int_t npixels = fPedestalsOut->GetSize();
404 const Int_t areas = fPedestalsOut->GetNumAverageArea();
405 const Int_t sectors = fPedestalsOut->GetNumAverageSector();
406
407 fSumx. Set(npixels);
408 fSumx2. Set(npixels);
409 fSumAB0.Set(npixels);
410 fSumAB1.Set(npixels);
411
412 fAreaSumx. Set(areas);
413 fAreaSumx2. Set(areas);
414 fAreaSumAB0.Set(areas);
415 fAreaSumAB1.Set(areas);
416 fAreaFilled.Set(areas);
417 fAreaValid .Set(areas);
418
419 fSectorSumx. Set(sectors);
420 fSectorSumx2. Set(sectors);
421 fSectorSumAB0.Set(sectors);
422 fSectorSumAB1.Set(sectors);
423 fSectorFilled.Set(sectors);
424 fSectorValid .Set(sectors);
425
426 for (Int_t i=0; i<npixels; i++)
427 {
428 const UInt_t aidx = (*fGeom)[i].GetAidx();
429 const UInt_t sector = (*fGeom)[i].GetSector();
430
431 fAreaValid [aidx] ++;
432 fSectorValid[sector]++;
433 }
434 }
435
436 if (fExtractor)
437 {
438 if (!fExtractor->InitArrays())
439 return kFALSE;
440
441 SetExtractWindow(fExtractor->GetHiGainFirst(), (Int_t)TMath::Nint(fExtractor->GetNumHiGainSamples()));
442 }
443
444 return kTRUE;
445}
446
447Int_t MExtractPedestal::PostProcess()
448{
449 fPedestalsIn = NULL;
450 return kTRUE;
451}
452
453
454// --------------------------------------------------------------------------
455//
456// The following resources are available:
457// ExtractWindowFirst: 15
458// ExtractWindowSize: 6
459// NumEventsDump: 500
460// PedestalUpdate: yes
461// RandomCalculation: yes
462//
463Int_t MExtractPedestal::ReadEnv(const TEnv &env, TString prefix, Bool_t print)
464{
465 Bool_t rc=kFALSE;
466
467 // find resource for numeventsdump
468 if (IsEnvDefined(env, prefix, "NumEventsDump", print))
469 {
470 SetNumEventsDump(GetEnvValue(env, prefix, "NumEventsDump", (Int_t)fNumEventsDump));
471 rc = kTRUE;
472 }
473
474 // find resource for numeventsdump
475 if (IsEnvDefined(env, prefix, "NumAreasDump", print))
476 {
477 SetNumAreasDump(GetEnvValue(env, prefix, "NumAreasDump", (Int_t)fNumAreasDump));
478 rc = kTRUE;
479 }
480
481 // find resource for numeventsdump
482 if (IsEnvDefined(env, prefix, "NumSectorsDump", print))
483 {
484 SetNumSectorsDump(GetEnvValue(env, prefix, "NumSectorsDump", (Int_t)fNumSectorsDump));
485 rc = kTRUE;
486 }
487
488 // find resource for pedestal update
489 if (IsEnvDefined(env, prefix, "PedestalUpdate", print))
490 {
491 SetPedestalUpdate(GetEnvValue(env, prefix, "PedestalUpdate", fPedestalUpdate));
492 rc = kTRUE;
493 }
494
495 // find resource for random calculation
496 if (IsEnvDefined(env, prefix, "RandomCalculation", print))
497 {
498 SetRandomCalculation(GetEnvValue(env, prefix, "RandomCalculation", fRandomCalculation));
499 rc = kTRUE;
500 }
501
502 // Find resources for ExtractWindow
503 Int_t ef = fExtractWinFirst;
504 Int_t es = fExtractWinSize;
505 if (IsEnvDefined(env, prefix, "ExtractWinFirst", print))
506 {
507 ef = GetEnvValue(env, prefix, "ExtractWinFirst", ef);
508 rc = kTRUE;
509 }
510 if (IsEnvDefined(env, prefix, "ExtractWinSize", print))
511 {
512 es = GetEnvValue(env, prefix, "ExtractWinSize", es);
513 rc = kTRUE;
514 }
515
516 SetExtractWindow(ef,es);
517
518 // find resource for MPedestalCam
519 if (IsEnvDefined(env, prefix, "NamePedestalCamIn", print))
520 {
521 SetNamePedestalCamIn(GetEnvValue(env, prefix, "NamePedestalCamIn", fNamePedestalCamIn));
522 rc = kTRUE;
523 }
524
525 if (IsEnvDefined(env, prefix, "NamePedestalCamOut", print))
526 {
527 SetNamePedestalCamOut(GetEnvValue(env, prefix, "NamePedestalCamOut", fNamePedestalCamOut));
528 rc = kTRUE;
529 }
530
531 return rc;
532}
533
534// ---------------------------------------------------------------------------------
535//
536// Calculates for pixel "idx":
537//
538// Ped per slice = sum / n / fExtractWinSize;
539// RMS per slice = sqrt { (sum2 - sum*sum/n) / (n-1) / fExtractWinSize }
540// ABOffset per slice = (fSumAB0[idx] - fSumAB1[idx]) / n / fExtractWinSize;
541//
542// Stores the results in MPedestalCam[pixid]
543//
544void MExtractPedestal::CalcPixResults(const UInt_t nevts, const UInt_t pixid)
545{
546 const Float_t sum = fSumx[pixid];
547 const Float_t sum2 = fSumx2[pixid];
548
549 // 1. Calculate the mean of the sums:
550 Float_t ped = sum/nevts;
551
552 // 2. Calculate the Variance of the sums:
553 Float_t var = (sum2-sum*sum/nevts)/(nevts-1.);
554
555 // 3. Calculate the amplitude of the 150MHz "AB" noise
556 Float_t abOffs = (fSumAB0[pixid] - fSumAB1[pixid]) / nevts;
557
558 // 4. Scale the mean, variance and AB-noise to the number of slices:
559 ped /= fExtractor ? fExtractor->GetNumHiGainSamples() : fExtractWinSize;
560 var /= fExtractor ? fExtractor->GetNumHiGainSamples() : fExtractWinSize;
561 abOffs /= fExtractor ? fExtractor->GetNumHiGainSamples() : fExtractWinSize;
562
563 // 5. Calculate the RMS from the Variance:
564 const Float_t rms = var<0 ? 0 : TMath::Sqrt(var);
565
566 (*fPedestalsOut)[pixid].Set(ped, rms, abOffs, nevts);
567}
568
569// ---------------------------------------------------------------------------------
570//
571// Calculates for area idx "aidx" with "napix" valid pixels:
572//
573// Ped per slice = sum / nevts / fExtractWinSize / napix;
574// RMS per slice = sqrt { (sum2 - sum*sum/nevts) / (nevts-1) / fExtractWinSize / napix }
575// ABOffset per slice = (fSumAB0[idx] - fSumAB1[idx]) / nevts / fExtractWinSize / napix;
576//
577// Stores the results in MPedestalCam::GetAverageArea(aidx)
578//
579void MExtractPedestal::CalcAreaResults(const UInt_t nevts, const UInt_t napix, const UInt_t aidx)
580{
581 const Float_t sum = fAreaSumx[aidx];
582 const Float_t sum2 = fAreaSumx2[aidx];
583
584 // 1. Calculate the mean of the sums:
585 Float_t ped = sum/nevts;
586
587 // 2. Calculate the Variance of the sums:
588 Float_t var = (sum2-sum*sum/nevts)/(nevts-1.);
589
590 // 3. Calculate the amplitude of the 150MHz "AB" noise
591 Float_t abOffs = (fAreaSumAB0[aidx] - fAreaSumAB1[aidx]) / nevts;
592
593 // 4. Scale the mean, variance and AB-noise to the number of slices:
594 ped /= fExtractor ? fExtractor->GetNumHiGainSamples() : fExtractWinSize;
595 var /= fExtractor ? fExtractor->GetNumHiGainSamples() : fExtractWinSize;
596 abOffs /= fExtractor ? fExtractor->GetNumHiGainSamples() : fExtractWinSize;
597
598 // 5. Scale the mean, variance and AB-noise to the number of pixels:
599 ped /= napix;
600 var /= napix;
601 abOffs /= napix;
602
603 // 6. Calculate the RMS from the Variance:
604 const Float_t rms = var<0 ? 0 : TMath::Sqrt(var);
605
606 fPedestalsOut->GetAverageArea(aidx).Set(ped, rms, abOffs, nevts);
607}
608
609// ---------------------------------------------------------------------------------
610//
611// Calculates for sector idx "sector" with "nspix" valid pixels:
612//
613// Ped per slice = sum / nevts / fExtractWinSize / nspix;
614// RMS per slice = sqrt { (sum2 - sum*sum/nevts) / (nevts-1) / fExtractWinSize / nspix }
615// ABOffset per slice = (fSumAB0[idx] - fSumAB1[idx]) / nevts / fExtractWinSize / nspix;
616//
617// Stores the results in MPedestalCam::GetAverageSector(sector)
618//
619void MExtractPedestal::CalcSectorResults(const UInt_t nevts, const UInt_t nspix, const UInt_t sector)
620{
621 const Float_t sum = fSectorSumx[sector];
622 const Float_t sum2 = fSectorSumx2[sector];
623
624 // 1. Calculate the mean of the sums:
625 Float_t ped = sum/nevts;
626
627 // 2. Calculate the Variance of the sums:
628 Float_t var = (sum2-sum*sum/nevts)/(nevts-1.);
629
630 // 3. Calculate the amplitude of the 150MHz "AB" noise
631 Float_t abOffs = (fSectorSumAB0[sector] - fSectorSumAB1[sector]) / nevts;
632
633 // 4. Scale the mean, variance and AB-noise to the number of slices:
634 ped /= fExtractor ? fExtractor->GetNumHiGainSamples() : fExtractWinSize;
635 var /= fExtractor ? fExtractor->GetNumHiGainSamples() : fExtractWinSize;
636 abOffs /= fExtractor ? fExtractor->GetNumHiGainSamples() : fExtractWinSize;
637
638 // 5. Scale the mean, variance and AB-noise to the number of pixels:
639 ped /= nspix;
640 var /= nspix;
641 abOffs /= nspix;
642
643 // 6. Calculate the RMS from the Variance:
644 const Float_t rms = var<0 ? 0 : TMath::Sqrt(var);
645
646 fPedestalsOut->GetAverageSector(sector).Set(ped, rms, abOffs, nevts);
647}
648
649void MExtractPedestal::Print(Option_t *o) const
650{
651 *fLog << GetDescriptor() << ":" << endl;
652 *fLog << "Name of input MPedestalCam: " << (fPedestalsIn?fPedestalsIn->GetName():fNamePedestalCamIn.Data()) << " (" << fPedestalsIn << ")" << endl;
653 *fLog << "Name of output MPedestalCam: " << (fPedestalsOut?fPedestalsOut->GetName():fNamePedestalCamOut.Data()) << " (" << fPedestalsOut << ")" << endl;
654 *fLog << "Pedestal Update is " << (fPedestalUpdate?"on":"off") << endl;
655 if (fPedestalUpdate)
656 {
657 *fLog << "Num evts for pedestal calc: " << fNumEventsDump << endl;
658 *fLog << "Num evts for avg.areas calc: " << fNumAreasDump << endl;
659 *fLog << "Num evts for avg.sector calc: " << fNumSectorsDump << endl;
660 }
661 if (fExtractor)
662 {
663 *fLog << "Extractor used: " << fExtractor->ClassName() << " (";
664 *fLog << (fRandomCalculation?"":"non-") << "random)" << endl;
665 }
666}
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