| 1 | /* ======================================================================== *\
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| 2 | !
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| 3 | ! *
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| 4 | ! * This file is part of MARS, the MAGIC Analysis and Reconstruction
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| 5 | ! * Software. It is distributed to you in the hope that it can be a useful
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| 6 | ! * and timesaving tool in analysing Data of imaging Cerenkov telescopes.
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| 7 | ! * It is distributed WITHOUT ANY WARRANTY.
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| 8 | ! *
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| 9 | ! * Permission to use, copy, modify and distribute this software and its
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| 10 | ! * documentation for any purpose is hereby granted without fee,
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| 11 | ! * provided that the above copyright notice appear in all copies and
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| 12 | ! * that both that copyright notice and this permission notice appear
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| 13 | ! * in supporting documentation. It is provided "as is" without express
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| 14 | ! * or implied warranty.
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| 15 | ! *
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| 16 | !
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| 17 | !
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| 18 | ! Author(s): Markus Gaug 02/2004 <mailto:markus@ifae.es>
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| 19 | !
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| 20 | ! Copyright: MAGIC Software Development, 2000-2004
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| 21 | !
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| 22 | !
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| 23 | \* ======================================================================== */
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| 24 | /////////////////////////////////////////////////////////////////////////////
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| 25 | //
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| 26 | // MHCalibrationTestCam
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| 27 | //
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| 28 | // Fills the calibrated signal from an MCerPhotEvt into
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| 29 | // MHCalibrationTestPix for every:
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| 30 | //
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| 31 | // - Pixel, stored in the TObjArray's MHCalibrationCam::fHiGainArray
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| 32 | // or MHCalibrationCam::fHiGainArray, respectively.
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| 33 | //
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| 34 | // - Average pixel per AREA index (e.g. inner and outer for the MAGIC camera),
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| 35 | // stored in the TObjArray's MHCalibrationCam::fAverageHiGainAreas and
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| 36 | // MHCalibrationCam::fAverageHiGainAreas
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| 37 | //
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| 38 | // - Average pixel per camera SECTOR (e.g. sectors 1-6 for the MAGIC camera),
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| 39 | // stored in the TObjArray's MHCalibrationCam::fAverageHiGainSectors
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| 40 | // and MHCalibrationCam::fAverageHiGainSectors
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| 41 | //
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| 42 | // The signals are filled into a histogram and an array, in order to perform
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| 43 | // a Fourier analysis (see MHGausEvents). The signals are moreover averaged on an
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| 44 | // event-by-event basis and written into the corresponding average pixels.
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| 45 | //
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| 46 | // The histograms are fitted to a Gaussian, mean and sigma with its errors
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| 47 | // and the fit probability are extracted. If none of these values are NaN's and
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| 48 | // if the probability is bigger than MHGausEvents::fProbLimit (default: 0.5%),
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| 49 | // the fit is declared valid.
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| 50 | // Otherwise, the fit is repeated within ranges of the previous mean
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| 51 | // +- MHCalibrationPix::fPickupLimit (default: 5) sigma (see MHCalibrationPix::RepeatFit())
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| 52 | // In case this does not make the fit valid, the histogram means and RMS's are
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| 53 | // taken directly (see MHCalibrationPix::BypassFit()) and the following flags are set:
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| 54 | // - MBadPixelsPix::SetUncalibrated( MBadPixelsPix::kHiGainNotFitted ) and
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| 55 | // - MBadPixelsPix::SetUnsuitable( MBadPixelsPix::kUnreliableRun )
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| 56 | //
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| 57 | // Outliers of more than MHCalibrationPix::fPickupLimit (default: 5) sigmas
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| 58 | // from the mean are counted as Pickup events (stored in MHCalibrationPix::fPickup)
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| 59 | //
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| 60 | // The class also fills arrays with the signal vs. event number, creates a fourier
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| 61 | // spectrum (see MHGausEvents::CreateFourierSpectrum()) and investigates if the
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| 62 | // projected fourier components follow an exponential distribution.
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| 63 | // In case that the probability of the exponential fit is less than
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| 64 | // MHGausEvents::fProbLimit (default: 0.5%), the following flags are set:
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| 65 | // - MBadPixelsPix::SetUncalibrated( MBadPixelsPix::kHiGainOscillating ) and
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| 66 | // - MBadPixelsPix::SetUnsuitable( MBadPixelsPix::kUnreliableRun )
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| 67 | //
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| 68 | // This same procedure is performed for the average pixels.
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| 69 | //
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| 70 | // The following results are written into an MCalibrationCam:
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| 71 | //
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| 72 | // - MCalibrationPix::SetMean()
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| 73 | // - MCalibrationPix::SetMeanErr()
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| 74 | // - MCalibrationPix::SetSigma()
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| 75 | // - MCalibrationPix::SetSigmaErr()
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| 76 | // - MCalibrationPix::SetProb()
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| 77 | // - MCalibrationPix::SetNumPickup()
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| 78 | //
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| 79 | // For all averaged areas, the fitted sigma is multiplied with the square root of
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| 80 | // the number involved pixels in order to be able to compare it to the average of
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| 81 | // sigmas in the camera.
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| 82 | //
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| 83 | /////////////////////////////////////////////////////////////////////////////
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| 84 | #include "MHCalibrationTestCam.h"
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| 85 | #include "MHCalibrationTestPix.h"
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| 86 |
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| 87 | #include "MHCalibrationPix.h"
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| 88 |
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| 89 | #include "MLog.h"
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| 90 | #include "MLogManip.h"
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| 91 |
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| 92 | #include "MParList.h"
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| 93 |
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| 94 | #include "MCalibrationTestCam.h"
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| 95 |
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| 96 | #include "MCalibrationCam.h"
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| 97 | #include "MCalibrationPix.h"
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| 98 |
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| 99 | #include "MCerPhotEvt.h"
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| 100 | #include "MCerPhotPix.h"
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| 101 |
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| 102 | #include "MGeomCam.h"
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| 103 | #include "MGeomPix.h"
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| 104 |
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| 105 | #include "MBadPixelsCam.h"
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| 106 | #include "MBadPixelsPix.h"
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| 107 |
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| 108 | ClassImp(MHCalibrationTestCam);
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| 109 |
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| 110 | using namespace std;
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| 111 | // --------------------------------------------------------------------------
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| 112 | //
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| 113 | // Default Constructor.
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| 114 | //
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| 115 | MHCalibrationTestCam::MHCalibrationTestCam(const char *name, const char *title)
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| 116 | {
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| 117 |
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| 118 | fName = name ? name : "MHCalibrationTestCam";
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| 119 | fTitle = title ? title : "Histogram class for testing the calibration";
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| 120 |
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| 121 | SetAverageNbins(5000);
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| 122 |
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| 123 | }
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| 124 |
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| 125 | // --------------------------------------------------------------------------
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| 126 | //
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| 127 | // Gets or creates the pointers to:
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| 128 | // - MCalibrationTestCam
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| 129 | //
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| 130 | // Searches pointer to:
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| 131 | // - MCerPhotEvt
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| 132 | //
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| 133 | // Initializes, if empty to MGeomCam::GetNumAreas() for:
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| 134 | // - MHCalibrationCam::fAverageHiGainAreas
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| 135 | //
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| 136 | // Initializes, if empty to MGeomCam::GetNumSectors() for:
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| 137 | // - MHCalibrationCam::fAverageHiGainSectors
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| 138 | //
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| 139 | // Calls MHCalibrationCam::InitHists() for every entry in:
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| 140 | // - MHCalibrationCam::fHiGainArray
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| 141 | // - MHCalibrationCam::fAverageHiGainAreas
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| 142 | // - MHCalibrationCam::fAverageHiGainSectors
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| 143 | //
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| 144 | // Sets Titles and Names for the Histograms
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| 145 | // - MHCalibrationCam::fAverageHiGainAreas
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| 146 | // - MHCalibrationCam::fAverageHiGainSectors
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| 147 | //
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| 148 | // Sets number of bins to MHCalibrationCam::fAverageNbins for:
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| 149 | // - MHCalibrationCam::fAverageHiGainAreas
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| 150 | // - MHCalibrationCam::fAverageHiGainSectors
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| 151 | //
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| 152 | Bool_t MHCalibrationTestCam::ReInitHists(MParList *pList)
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| 153 | {
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| 154 |
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| 155 | MCerPhotEvt *signal = (MCerPhotEvt*)pList->FindObject("MCerPhotEvt");
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| 156 | if (!signal)
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| 157 | {
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| 158 | *fLog << err << "MCerPhotEvt not found... abort." << endl;
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| 159 | return kFALSE;
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| 160 | }
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| 161 |
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| 162 |
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| 163 | const Int_t npixels = fGeom->GetNumPixels();
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| 164 | const Int_t nsectors = fGeom->GetNumSectors();
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| 165 | const Int_t nareas = fGeom->GetNumAreas();
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| 166 |
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| 167 | if (fHiGainArray->GetEntries()==0)
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| 168 | {
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| 169 | fHiGainArray->Expand(npixels);
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| 170 | for (Int_t i=0; i<npixels; i++)
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| 171 | {
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| 172 | (*fHiGainArray)[i] = new MHCalibrationTestPix("Calibrated Events",
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| 173 | "Test Calibration Pixel");
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| 174 | InitHists((*this)[i],(*fBadPixels)[i],i);
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| 175 | }
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| 176 | }
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| 177 |
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| 178 |
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| 179 | if (fAverageHiGainAreas->GetEntries()==0)
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| 180 | {
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| 181 | fAverageHiGainAreas->Expand(nareas);
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| 182 |
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| 183 | for (Int_t j=0; j<nareas; j++)
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| 184 | {
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| 185 | (*fAverageHiGainAreas)[j] =
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| 186 | new MHCalibrationTestPix("MHCalibrationTestAverageArea",
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| 187 | "Average Test Calibrations Area Idx ");
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| 188 |
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| 189 | GetAverageHiGainArea(j).GetHGausHist()->SetTitle("Test Calibrations Area Idx ");
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| 190 | GetAverageHiGainArea(j).SetNbins(fAverageNbins);
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| 191 | GetAverageHiGainArea(j).InitBins();
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| 192 | GetAverageHiGainArea(j).ChangeHistId(j);
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| 193 | GetAverageHiGainArea(j).SetEventFrequency(fPulserFrequency);
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| 194 |
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| 195 | TH1F *h = GetAverageHiGainArea(j).GetHGausHist();
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| 196 | h->SetTitle( Form("%s%s", h->GetTitle()," Runs: "));
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| 197 | }
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| 198 | }
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| 199 |
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| 200 |
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| 201 | if (fAverageHiGainSectors->GetEntries()==0)
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| 202 | {
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| 203 | fAverageHiGainSectors->Expand(nsectors);
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| 204 |
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| 205 | for (Int_t j=0; j<nsectors; j++)
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| 206 | {
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| 207 | (*fAverageHiGainSectors)[j] =
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| 208 | new MHCalibrationTestPix("MHCalibrationTestAverageSector",
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| 209 | "Average Test Calibrations Sector ");
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| 210 |
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| 211 | GetAverageHiGainSector(j).GetHGausHist()->SetTitle("Test Calibrations Sector ");
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| 212 | GetAverageHiGainSector(j).SetNbins(fAverageNbins);
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| 213 | GetAverageHiGainSector(j).InitBins();
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| 214 | GetAverageHiGainSector(j).ChangeHistId(j);
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| 215 | GetAverageHiGainSector(j).SetEventFrequency(fPulserFrequency);
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| 216 |
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| 217 | TH1F *h = GetAverageHiGainSector(j).GetHGausHist();
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| 218 | h->SetTitle( Form("%s%s", h->GetTitle()," Runs: "));
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| 219 |
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| 220 | }
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| 221 | }
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| 222 |
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| 223 |
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| 224 | fMeanMeanPhotPerArea.Set(nareas);
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| 225 | fRmsMeanPhotPerArea .Set(nareas);
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| 226 | fMeanSigmaPhotPerArea.Set(nareas);
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| 227 | fRmsSigmaPhotPerArea.Set(nareas);
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| 228 |
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| 229 | fLoGain = kFALSE;
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| 230 |
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| 231 | return kTRUE;
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| 232 | }
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| 233 |
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| 234 |
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| 235 | // -------------------------------------------------------------------------------
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| 236 | //
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| 237 | // Retrieves pointer to MCerPhotEvt:
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| 238 | //
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| 239 | // Retrieves from MGeomCam:
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| 240 | // - number of pixels
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| 241 | // - number of pixel areas
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| 242 | // - number of sectors
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| 243 | //
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| 244 | // Fills HiGain histograms (MHGausEvents::FillHistAndArray())
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| 245 | // with:
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| 246 | // - MCerPhotPix::GetNumPhotons(pixid);
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| 247 | //
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| 248 | Bool_t MHCalibrationTestCam::FillHists(const MParContainer *par, const Stat_t w)
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| 249 | {
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| 250 |
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| 251 | MCerPhotEvt *calibration = (MCerPhotEvt*)par;
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| 252 | if (!calibration)
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| 253 | {
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| 254 | gLog << err << "No argument in MHCalibrationTestCam::Fill... abort." << endl;
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| 255 | return kFALSE;
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| 256 | }
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| 257 |
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| 258 | const Int_t npixels = fGeom->GetNumPixels();
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| 259 | const Int_t nareas = fGeom->GetNumAreas();
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| 260 | const Int_t nsectors = fGeom->GetNumSectors();
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| 261 |
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| 262 | TArrayF sumareahi (nareas);
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| 263 | TArrayF sumsectorhi(nsectors);
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| 264 | TArrayI numareahi (nareas);
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| 265 | TArrayI numsectorhi(nsectors);
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| 266 |
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| 267 | for (Int_t i=0; i<npixels; i++)
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| 268 | {
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| 269 |
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| 270 | MHCalibrationPix &histhi = (*this)[i];
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| 271 |
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| 272 | const MCerPhotPix *pix = calibration->GetPixById(i);
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| 273 | if (!pix)
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| 274 | continue;
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| 275 |
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| 276 |
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| 277 | const Float_t signal = pix->GetNumPhotons();
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| 278 |
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| 279 | if (signal < 0.0001)
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| 280 | continue;
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| 281 |
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| 282 | const Int_t aidx = (*fGeom)[i].GetAidx();
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| 283 | const Int_t sector = (*fGeom)[i].GetSector();
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| 284 |
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| 285 | histhi.FillHistAndArray(signal) ;
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| 286 |
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| 287 | sumareahi [aidx] += signal;
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| 288 | numareahi [aidx] ++;
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| 289 | sumsectorhi[sector] += signal;
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| 290 | numsectorhi[sector] ++;
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| 291 | }
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| 292 |
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| 293 | for (Int_t j=0; j<nareas; j++)
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| 294 | {
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| 295 | MHCalibrationPix &histhi = GetAverageHiGainArea(j);
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| 296 | histhi.FillHistAndArray(numareahi[j] == 0 ? 0. : sumareahi[j]/numareahi[j]);
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| 297 | }
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| 298 |
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| 299 | for (Int_t j=0; j<nsectors; j++)
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| 300 | {
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| 301 | MHCalibrationPix &histhi = GetAverageHiGainSector(j);
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| 302 | histhi.FillHistAndArray(numsectorhi[j] == 0 ? 0. : sumsectorhi[j]/numsectorhi[j]);
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| 303 |
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| 304 | }
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| 305 |
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| 306 | return kTRUE;
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| 307 | }
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| 308 |
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| 309 | // --------------------------------------------------------------------------
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| 310 | //
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| 311 | // Calls:
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| 312 | // - MHCalibrationCam::FitHiGainArrays() with flags:
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| 313 | // MBadPixelsPix::kTestNotFitted and MBadPixelsPix::kTestOscillating
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| 314 | //
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| 315 | Bool_t MHCalibrationTestCam::FinalizeHists()
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| 316 | {
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| 317 |
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| 318 | *fLog << endl;
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| 319 |
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| 320 | TArrayI numaidx;
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| 321 | numaidx.Set(fGeom->GetNumAreas());
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| 322 |
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| 323 | for (Int_t i=0; i<fHiGainArray->GetSize(); i++)
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| 324 | {
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| 325 |
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| 326 | MHCalibrationPix &hist = (*this)[i];
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| 327 |
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| 328 | if (hist.IsEmpty())
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| 329 | continue;
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| 330 |
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| 331 | if (!hist.FitGaus())
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| 332 | if (!hist.RepeatFit())
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| 333 | hist.BypassFit();
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| 334 |
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| 335 | hist.CreateFourierSpectrum();
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| 336 |
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| 337 | const Float_t area = (*fGeom)[i].GetA();
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| 338 | const Int_t aidx = (*fGeom)[i].GetAidx();
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| 339 |
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| 340 | fMeanMeanPhotPerArea[aidx] += hist.GetMean() / area;
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| 341 | fRmsMeanPhotPerArea [aidx] += hist.GetMean() / area * hist.GetMean() / area;
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| 342 | fMeanSigmaPhotPerArea[aidx] += hist.GetSigma()/ area;
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| 343 | fRmsSigmaPhotPerArea [aidx] += hist.GetSigma()/ area * hist.GetSigma() / area;
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| 344 | numaidx[aidx]++;
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| 345 | }
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| 346 |
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| 347 |
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| 348 | for (Int_t j=0; j<fAverageHiGainAreas->GetSize(); j++)
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| 349 | {
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| 350 |
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| 351 | MHCalibrationPix &hist = GetAverageHiGainArea(j);
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| 352 | if (hist.IsEmpty())
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| 353 | continue;
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| 354 |
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| 355 | if (!hist.FitGaus())
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| 356 | if (!hist.RepeatFit())
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| 357 | hist.BypassFit();
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| 358 |
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| 359 | hist.CreateFourierSpectrum();
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| 360 |
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| 361 | fRmsMeanPhotPerArea [j] -= fMeanMeanPhotPerArea [j]*fMeanMeanPhotPerArea [j]/numaidx[j];
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| 362 | fRmsSigmaPhotPerArea[j] -= fMeanSigmaPhotPerArea[j]*fMeanSigmaPhotPerArea[j]/numaidx[j];
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| 363 |
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| 364 | fMeanMeanPhotPerArea [j] /= numaidx[j];
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| 365 | fMeanSigmaPhotPerArea[j] /= numaidx[j];
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| 366 | fRmsMeanPhotPerArea [j] /= numaidx[j]-1.;
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| 367 | fRmsSigmaPhotPerArea [j] /= numaidx[j]-1.;
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| 368 |
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| 369 | if (fRmsMeanPhotPerArea [j] > 0.)
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| 370 | fRmsMeanPhotPerArea [j] = TMath::Sqrt(fRmsMeanPhotPerArea [j]);
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| 371 | if (fRmsSigmaPhotPerArea [j] > 0.)
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| 372 | fRmsSigmaPhotPerArea [j] = TMath::Sqrt(fRmsSigmaPhotPerArea [j]);
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| 373 | }
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| 374 |
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| 375 | for (Int_t j=0; j<fAverageHiGainSectors->GetSize(); j++)
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| 376 | {
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| 377 |
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| 378 | MHCalibrationPix &hist = GetAverageHiGainSector(j);
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| 379 | if (hist.IsEmpty())
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| 380 | continue;
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| 381 |
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| 382 | if (!hist.FitGaus())
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| 383 | if (!hist.RepeatFit())
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| 384 | hist.BypassFit();
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| 385 |
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| 386 | hist.CreateFourierSpectrum();
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| 387 | }
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| 388 |
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| 389 | return kTRUE;
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| 390 | }
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| 391 |
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| 392 |
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| 393 | // --------------------------------------------------------------------------
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| 394 | //
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| 395 | // The types are as follows:
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| 396 | //
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| 397 | // Fitted values:
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| 398 | // ==============
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| 399 | //
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| 400 | // 0: Fitted Mean Test Calibration (MHGausEvents::GetMean())
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| 401 | // 1: Error Mean Test Calibration (MHGausEvents::GetMeanErr())
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| 402 | // 2: Sigma fitted Test Calibration (MHGausEvents::GetSigma())
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| 403 | // 3: Error Sigma Test Calibration (MHGausEvents::GetSigmaErr())
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| 404 | //
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| 405 | // Useful variables derived from the fit results:
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| 406 | // =============================================
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| 407 | //
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| 408 | // 4: Returned probability of Gauss fit (calls: MHGausEvents::GetProb())
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| 409 | //
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| 410 | // Localized defects:
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| 411 | // ==================
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| 412 | //
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| 413 | // 5: Gaus fit not OK (calls: MHGausEvents::IsGausFitOK())
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| 414 | // 6: Fourier spectrum not OK (calls: MHGausEvents::IsFourierSpectrumOK())
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| 415 | //
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| 416 | // Converted values:
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| 417 | // =================
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| 418 | //
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| 419 | // 7: Fitted Mean Test Calibration (MHGausEvents::GetMean()) by MGeomPix::GetA()
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| 420 | // 8: Fitted Mean Error Calibration (MHGausEvents::GetMeanErr()) by MGeomPix::GetA()
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| 421 | // 9: Fitted Sigma Test Calibration (MHGausEvents::GetSigma()) by MGeomPix::GetA()
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| 422 | // 10: Fitted Sigma Error Calibration (MHGausEvents::GetSigmaErr()) by MGeomPix::GetA()
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| 423 | //
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| 424 | Bool_t MHCalibrationTestCam::GetPixelContent(Double_t &val, Int_t idx, const MGeomCam &cam, Int_t type) const
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| 425 | {
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| 426 |
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| 427 | if (fHiGainArray->GetSize() <= idx)
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| 428 | return kFALSE;
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| 429 |
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| 430 | const MHCalibrationPix &pix = (*this)[idx];
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| 431 |
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| 432 | if (pix.IsEmpty())
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| 433 | return kFALSE;
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| 434 |
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| 435 | switch (type)
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| 436 | {
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| 437 | case 0:
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| 438 | val = pix.GetMean();
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| 439 | break;
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| 440 | case 1:
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| 441 | val = pix.GetMeanErr();
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| 442 | break;
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| 443 | case 2:
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| 444 | val = pix.GetSigma();
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| 445 | break;
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| 446 | case 3:
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| 447 | val = pix.GetSigmaErr();
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| 448 | break;
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| 449 | case 4:
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| 450 | val = pix.GetProb();
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| 451 | break;
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| 452 | case 5:
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| 453 | if (!pix.IsGausFitOK())
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| 454 | val = 1.;
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| 455 | break;
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| 456 | case 6:
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| 457 | if (!pix.IsFourierSpectrumOK())
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| 458 | val = 1.;
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| 459 | break;
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| 460 | case 7:
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| 461 | val = pix.GetMean()/cam[idx].GetA();
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| 462 | break;
|
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| 463 | case 8:
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| 464 | val = pix.GetMeanErr()/cam[idx].GetA();
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| 465 | break;
|
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| 466 | case 9:
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| 467 | val = pix.GetSigma()/cam[idx].GetA();
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| 468 | break;
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| 469 | case 10:
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| 470 | val = pix.GetSigmaErr()/cam[idx].GetA();
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| 471 | break;
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| 472 | default:
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| 473 | return kFALSE;
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|---|
| 474 | }
|
|---|
| 475 | return kTRUE;
|
|---|
| 476 | }
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| 477 |
|
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| 478 | // --------------------------------------------------------------------------
|
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| 479 | //
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|---|
| 480 | // Calls MHCalibrationPix::DrawClone() for pixel idx
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|---|
| 481 | //
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|---|
| 482 | void MHCalibrationTestCam::DrawPixelContent(Int_t idx) const
|
|---|
| 483 | {
|
|---|
| 484 | (*this)[idx].DrawClone();
|
|---|
| 485 | }
|
|---|
| 486 |
|
|---|
| 487 |
|
|---|
| 488 | //------------------------------------------------------------
|
|---|
| 489 | //
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|---|
| 490 | // For all averaged areas, the fitted sigma is multiplied with the square root of
|
|---|
| 491 | // the number involved pixels
|
|---|
| 492 | //
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|---|
| 493 | void MHCalibrationTestCam::CalcAverageSigma()
|
|---|
| 494 | {
|
|---|
| 495 |
|
|---|
| 496 | for (UInt_t j=0; j<fGeom->GetNumAreas(); j++)
|
|---|
| 497 | {
|
|---|
| 498 |
|
|---|
| 499 | MHCalibrationPix &hist = GetAverageHiGainArea(j);
|
|---|
| 500 |
|
|---|
| 501 | const Float_t numsqr = TMath::Sqrt((Float_t)fAverageAreaNum[j]);
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|---|
| 502 | fAverageAreaSigma[j] = hist.GetSigma () * numsqr;
|
|---|
| 503 | fAverageAreaSigmaVar[j] = hist.GetSigmaErr () * hist.GetSigmaErr() * numsqr;
|
|---|
| 504 |
|
|---|
| 505 | fAverageAreaRelSigma [j] = fAverageAreaSigma[j] / hist.GetMean();
|
|---|
| 506 | fAverageAreaRelSigmaVar[j] = fAverageAreaSigmaVar[j] / (fAverageAreaSigma[j]*fAverageAreaSigma[j]);
|
|---|
| 507 | fAverageAreaRelSigmaVar[j] += hist.GetMeanErr()*hist.GetMeanErr()/hist.GetMean()/hist.GetMean();
|
|---|
| 508 | fAverageAreaRelSigmaVar[j] *= fAverageAreaRelSigma[j];
|
|---|
| 509 | }
|
|---|
| 510 | }
|
|---|
