| 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 | // MCalibrationChargePix //
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| 26 | // //
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| 27 | // Storage container to hold informations about the calibration values //
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| 28 | // values of one Pixel (PMT). //
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| 29 | // //
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| 30 | // The following values are initialized to meaningful values:
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| 31 | //
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| 32 | // - The Electronic Rms to 1.5 per FADC slice
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| 33 | // - The uncertainty about the Electronic RMS to 0.3 per slice
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| 34 | // - The F-Factor is assumed to have been measured in Munich to 1.13 - 1.17.
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| 35 | // with the Munich definition of the F-Factor, thus:
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| 36 | // F = Sigma(Out)/Mean(Out) * Mean(In)/Sigma(In)
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| 37 | // Mean F-Factor = 1.15
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| 38 | // Error F-Factor = 0.02
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| 39 | //
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| 40 | // - Average QE: (email David Paneque, 14.2.04):
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| 41 | //
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| 42 | // The conversion factor that comes purely from QE folded to a Cherenkov
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| 43 | // spectrum has to be multiplied by:
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| 44 | // * Plexiglass window -->> 0.96 X 0.96
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| 45 | // * PMT photoelectron collection efficiency -->> 0.9
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| 46 | // * Light guides efficiency -->> 0.94
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| 47 | //
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| 48 | // Concerning the light guides effiency estimation... Daniel Ferenc
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| 49 | // is preparing some work (simulations) to estimate it. Yet so far, he has
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| 50 | // been busy with other stuff, and this work is still UNfinished.
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| 51 | //
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| 52 | // The estimation I did comes from:
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| 53 | // 1) Reflectivity of light guide walls is 85 % (aluminum)
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| 54 | // 2) At ZERO degree light incidence, 37% of the light hits such walls
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| 55 | // (0.15X37%= 5.6% of light lost)
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| 56 | // 3) When increasing the light incidence angle, more and more light hits
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| 57 | // the walls.
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| 58 | //
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| 59 | // However, the loses due to larger amount of photons hitting the walls is more
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| 60 | // or less counteracted by the fact that more and more photon trajectories cross
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| 61 | // the PMT photocathode twice, increasing the effective sensitivity of the PMT.
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| 62 | //
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| 63 | // Jurgen Gebauer did some quick measurements about this issue. I attach a
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| 64 | // plot. You can see that the angular dependence is (more or less) in agreement
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| 65 | // with a CosTheta function (below 20-25 degrees),
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| 66 | // which is the variation of teh entrance window cross section. So, in
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| 67 | // first approximation, no loses when increasing light incidence angle;
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| 68 | // and therefore, the factor 0.94.
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| 69 | //
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| 70 | // So, summarizing... I would propose the following conversion factors
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| 71 | // (while working with CT1 cal box) in order to get the final number of photons
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| 72 | // from the detected measured size in ADC counts.
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| 73 | //
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| 74 | // Nph = ADC * FmethodConversionFactor / ConvPhe-PhFactor
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| 75 | //
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| 76 | // FmethodConversionFactor ; measured for individual pmts
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| 77 | //
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| 78 | // ConvPhe-PhFactor = 0.98 * 0.23 * 0.90 * 0.94 * 0.96 * 0.96 = 0.18
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| 79 | //
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| 80 | // I would not apply any smearing of this factor (which we have in nature),
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| 81 | // since we might be applying it to PMTs in the totally wrong direction.
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| 82 | //
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| 83 | //
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| 84 | // Error of all variables are calculated by error-propagation. Note that internally,
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| 85 | // all error variables contain Variances in order to save the CPU-intensive square rooting
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| 86 | //
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| 87 | /////////////////////////////////////////////////////////////////////////////
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| 88 | #include "MCalibrationChargePix.h"
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| 89 |
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| 90 | #include "MLog.h"
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| 91 | #include "MLogManip.h"
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| 92 |
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| 93 | #include "MBadPixelsPix.h"
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| 94 |
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| 95 | ClassImp(MCalibrationChargePix);
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| 96 |
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| 97 | using namespace std;
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| 98 |
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| 99 | const Float_t MCalibrationChargePix::gkElectronicPedRms = 1.5;
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| 100 | const Float_t MCalibrationChargePix::gkElectronicPedRmsErr = 0.3;
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| 101 | const Float_t MCalibrationChargePix::gkFFactor = 1.15;
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| 102 | const Float_t MCalibrationChargePix::gkFFactorErr = 0.02;
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| 103 |
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| 104 | const Float_t MCalibrationChargePix::gkConversionHiLo = 10.;
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| 105 | const Float_t MCalibrationChargePix::gkConversionHiLoErr = 2.5;
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| 106 |
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| 107 | const Float_t MCalibrationChargePix::fgPheFFactorMethodLimit = 5.;
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| 108 | // --------------------------------------------------------------------------
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| 109 | //
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| 110 | // Default Constructor:
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| 111 | //
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| 112 | MCalibrationChargePix::MCalibrationChargePix(const char *name, const char *title)
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| 113 | : fPixId(-1),
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| 114 | fFlags(0)
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| 115 | {
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| 116 |
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| 117 | fName = name ? name : "MCalibrationChargePix";
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| 118 | fTitle = title ? title : "Container of the fit results of MHCalibrationChargePixs ";
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| 119 |
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| 120 | Clear();
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| 121 |
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| 122 | //
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| 123 | // At the moment, we don't have a database, yet,
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| 124 | // so we get it from the configuration file
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| 125 | //
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| 126 | SetConversionHiLo();
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| 127 | SetConversionHiLoErr();
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| 128 |
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| 129 | SetPheFFactorMethodLimit();
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| 130 |
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| 131 | }
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| 132 |
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| 133 | // ------------------------------------------------------------------------
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| 134 | //
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| 135 | // Invalidate values
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| 136 | //
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| 137 | void MCalibrationChargePix::Clear(Option_t *o)
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| 138 | {
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| 139 |
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| 140 | SetHiGainSaturation ( kFALSE );
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| 141 | SetLoGainSaturation ( kFALSE );
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| 142 | SetExcluded ( kFALSE );
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| 143 | SetBlindPixelMethodValid ( kFALSE );
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| 144 | SetFFactorMethodValid ( kFALSE );
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| 145 | SetPINDiodeMethodValid ( kFALSE );
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| 146 | SetCombinedMethodValid ( kFALSE );
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| 147 |
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| 148 | fHiGainMeanCharge = -1.;
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| 149 | fHiGainMeanChargeVar = -1.;
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| 150 | fHiGainSigmaCharge = -1.;
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| 151 | fHiGainSigmaChargeVar = -1.;
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| 152 | fHiGainChargeProb = -1.;
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| 153 |
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| 154 | fLoGainMeanCharge = -1.;
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| 155 | fLoGainMeanChargeVar = -1.;
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| 156 | fLoGainSigmaCharge = -1.;
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| 157 | fLoGainSigmaChargeVar = -1.;
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| 158 | fLoGainChargeProb = -1.;
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| 159 |
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| 160 | fRSigmaCharge = -1.;
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| 161 | fRSigmaChargeVar = -1.;
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| 162 |
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| 163 | fHiGainNumPickup = -1;
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| 164 | fLoGainNumPickup = -1;
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| 165 |
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| 166 | fPed = -1.;
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| 167 | fPedRms = -1.;
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| 168 | fPedVar = -1.;
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| 169 |
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| 170 | fLoGainPedRms = -1.;
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| 171 | fLoGainPedRmsVar = -1.;
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| 172 |
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| 173 | fAbsTimeMean = -1.;
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| 174 | fAbsTimeRms = -1.;
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| 175 |
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| 176 | fPheFFactorMethod = -1.;
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| 177 | fPheFFactorMethodVar = -1.;
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| 178 |
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| 179 | fMeanConversionFFactorMethod = -1.;
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| 180 | fMeanConversionBlindPixelMethod = -1.;
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| 181 | fMeanConversionPINDiodeMethod = -1.;
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| 182 | fMeanConversionCombinedMethod = -1.;
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| 183 |
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| 184 | fConversionFFactorMethodVar = -1.;
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| 185 | fConversionBlindPixelMethodVar = -1.;
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| 186 | fConversionPINDiodeMethodVar = -1.;
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| 187 | fConversionCombinedMethodVar = -1.;
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| 188 |
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| 189 | fSigmaConversionFFactorMethod = -1.;
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| 190 | fSigmaConversionBlindPixelMethod = -1.;
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| 191 | fSigmaConversionPINDiodeMethod = -1.;
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| 192 | fSigmaConversionCombinedMethod = -1.;
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| 193 |
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| 194 | fTotalFFactorFFactorMethod = -1.;
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| 195 | fTotalFFactorBlindPixelMethod = -1.;
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| 196 | fTotalFFactorPINDiodeMethod = -1.;
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| 197 | fTotalFFactorCombinedMethod = -1.;
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| 198 |
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| 199 | }
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| 200 |
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| 201 |
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| 202 | // --------------------------------------------------------------------------
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| 203 | //
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| 204 | // Set the pedestals from outside
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| 205 | //
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| 206 | void MCalibrationChargePix::SetPedestal(const Float_t ped, const Float_t pedrms, const Float_t pederr)
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| 207 | {
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| 208 |
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| 209 | fPed = ped;
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| 210 | fPedRms = pedrms;
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| 211 | fPedVar = pederr*pederr;
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| 212 | }
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| 213 |
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| 214 |
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| 215 | void MCalibrationChargePix::SetMeanCharge( const Float_t f )
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| 216 | {
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| 217 | if (IsHiGainSaturation())
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| 218 | fLoGainMeanCharge = f;
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| 219 | else
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| 220 | fHiGainMeanCharge = f;
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| 221 | }
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| 222 |
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| 223 | void MCalibrationChargePix::SetMeanChargeErr( const Float_t f )
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| 224 | {
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| 225 | if (IsHiGainSaturation())
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| 226 | fLoGainMeanChargeVar = f*f;
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| 227 | else
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| 228 | fHiGainMeanChargeVar = f*f;
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| 229 |
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| 230 | }
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| 231 |
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| 232 | void MCalibrationChargePix::SetSigmaCharge( const Float_t f )
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| 233 | {
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| 234 | if (IsHiGainSaturation())
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| 235 | fLoGainSigmaCharge = f;
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| 236 | else
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| 237 | fHiGainSigmaCharge = f;
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| 238 | }
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| 239 |
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| 240 |
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| 241 | void MCalibrationChargePix::SetSigmaChargeErr( const Float_t f )
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| 242 | {
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| 243 | if (IsHiGainSaturation())
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| 244 | fLoGainSigmaChargeVar = f*f;
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| 245 | else
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| 246 | fHiGainSigmaChargeVar = f*f;
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| 247 |
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| 248 | }
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| 249 |
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| 250 | // --------------------------------------------------------------------------
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| 251 | //
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| 252 | // Set the conversion factors from outside (only for MC)
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| 253 | //
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| 254 | void MCalibrationChargePix::SetConversionFFactorMethod(Float_t c, Float_t err, Float_t sig)
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| 255 | {
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| 256 | fMeanConversionFFactorMethod = c;
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| 257 | fConversionFFactorMethodVar = err*err;
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| 258 | fSigmaConversionFFactorMethod = sig;
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| 259 | }
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| 260 |
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| 261 | // --------------------------------------------------------------------------
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| 262 | //
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| 263 | // Set the conversion factors from outside (only for MC)
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| 264 | //
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| 265 | void MCalibrationChargePix::SetConversionCombinedMethod(Float_t c, Float_t err, Float_t sig)
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| 266 | {
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| 267 | fMeanConversionCombinedMethod = c;
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| 268 | fConversionCombinedMethodVar = err*err;
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| 269 | fSigmaConversionCombinedMethod = sig;
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| 270 | }
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| 271 |
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| 272 |
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| 273 | // --------------------------------------------------------------------------
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| 274 | //
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| 275 | // Set the conversion factors from outside (only for MC)
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| 276 | //
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| 277 | void MCalibrationChargePix::SetConversionBlindPixelMethod(Float_t c, Float_t err, Float_t sig)
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| 278 | {
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| 279 | fMeanConversionBlindPixelMethod = c;
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| 280 | fConversionBlindPixelMethodVar = err*err;
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| 281 | fSigmaConversionBlindPixelMethod = sig;
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| 282 | }
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| 283 |
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| 284 | // --------------------------------------------------------------------------
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| 285 | //
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| 286 | // Set the conversion factors from outside (only for MC)
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| 287 | //
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| 288 | void MCalibrationChargePix::SetConversionPINDiodeMethod(Float_t c, Float_t err, Float_t sig)
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| 289 | {
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| 290 | fMeanConversionPINDiodeMethod = c ;
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| 291 | fConversionPINDiodeMethodVar = err*err;
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| 292 | fSigmaConversionPINDiodeMethod = sig;
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| 293 | }
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| 294 |
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| 295 | // --------------------------------------------------------------------------
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| 296 | //
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| 297 | // Set the Hi Gain Saturation Bit from outside
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| 298 | //
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| 299 | void MCalibrationChargePix::SetHiGainSaturation(Bool_t b)
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| 300 | {
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| 301 | b ? SETBIT(fFlags, kHiGainSaturation) : CLRBIT(fFlags, kHiGainSaturation);
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| 302 | }
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| 303 |
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| 304 | // --------------------------------------------------------------------------
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| 305 | //
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| 306 | // Set the Lo Gain Saturation Bit from outside
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| 307 | //
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| 308 | void MCalibrationChargePix::SetLoGainSaturation(Bool_t b)
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| 309 | {
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| 310 | b ? SETBIT(fFlags, kLoGainSaturation) : CLRBIT(fFlags, kLoGainSaturation);
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| 311 | }
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| 312 |
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| 313 | // --------------------------------------------------------------------------
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| 314 | //
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| 315 | // Set the Excluded Bit from outside
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| 316 | //
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| 317 | void MCalibrationChargePix::SetExcluded(Bool_t b )
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| 318 | {
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| 319 | b ? SETBIT(fFlags, kExcluded) : CLRBIT(fFlags, kExcluded);
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| 320 | }
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| 321 |
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| 322 |
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| 323 | // --------------------------------------------------------------------------
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| 324 | //
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| 325 | // Set the Excluded Bit from outside
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| 326 | //
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| 327 | void MCalibrationChargePix::SetBlindPixelMethodValid(const Bool_t b )
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| 328 | {
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| 329 | b ? SETBIT(fFlags, kBlindPixelMethodValid) : CLRBIT(fFlags, kBlindPixelMethodValid);
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| 330 | }
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| 331 |
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| 332 | // --------------------------------------------------------------------------
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| 333 | //
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| 334 | // Set the Excluded Bit from outside
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| 335 | //
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| 336 | void MCalibrationChargePix::SetFFactorMethodValid(const Bool_t b )
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| 337 | {
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| 338 | b ? SETBIT(fFlags, kFFactorMethodValid) : CLRBIT(fFlags, kFFactorMethodValid);
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| 339 | }
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| 340 |
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| 341 | // --------------------------------------------------------------------------
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| 342 | //
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| 343 | // Set the Excluded Bit from outside
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| 344 | //
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| 345 | void MCalibrationChargePix::SetPINDiodeMethodValid(const Bool_t b )
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| 346 | {
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| 347 | b ? SETBIT(fFlags, kPINDiodeMethodValid) : CLRBIT(fFlags, kPINDiodeMethodValid);
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| 348 | }
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| 349 |
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| 350 | // --------------------------------------------------------------------------
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| 351 | //
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| 352 | // Set the Excluded Bit from outside
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| 353 | //
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| 354 | void MCalibrationChargePix::SetCombinedMethodValid(const Bool_t b )
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| 355 | {
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| 356 | b ? SETBIT(fFlags, kCombinedMethodValid) : CLRBIT(fFlags, kCombinedMethodValid);
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| 357 | }
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| 358 |
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| 359 |
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| 360 | Float_t MCalibrationChargePix::GetPedRms() const
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| 361 | {
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| 362 | return IsHiGainSaturation() ? fLoGainPedRms : fPedRms;
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| 363 | }
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| 364 |
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| 365 | Float_t MCalibrationChargePix::GetPedRmsErr() const
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| 366 | {
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| 367 | return IsHiGainSaturation() ? TMath::Sqrt(fLoGainPedRmsVar) : TMath::Sqrt(fPedVar)/2.;
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| 368 | }
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| 369 |
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| 370 | Float_t MCalibrationChargePix::GetPedErr() const
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| 371 | {
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| 372 | return TMath::Sqrt(fPedVar);
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| 373 | }
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| 374 |
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| 375 | Float_t MCalibrationChargePix::GetMeanCharge() const
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| 376 | {
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| 377 | return IsHiGainSaturation() ? GetLoGainMeanCharge() : GetHiGainMeanCharge() ;
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| 378 | }
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| 379 |
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| 380 | Float_t MCalibrationChargePix::GetMeanChargeErr() const
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| 381 | {
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| 382 | return IsHiGainSaturation() ? GetLoGainMeanChargeErr() : GetHiGainMeanChargeErr() ;
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| 383 | }
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| 384 |
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| 385 | Float_t MCalibrationChargePix::GetChargeProb() const
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| 386 | {
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| 387 | return IsHiGainSaturation() ? fLoGainChargeProb : fHiGainChargeProb ;
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| 388 | }
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| 389 |
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| 390 | Float_t MCalibrationChargePix::GetSigmaCharge() const
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| 391 | {
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| 392 | return IsHiGainSaturation() ? GetLoGainSigmaCharge() : GetHiGainSigmaCharge() ;
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| 393 | }
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| 394 |
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| 395 | Float_t MCalibrationChargePix::GetSigmaChargeErr() const
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| 396 | {
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| 397 | return IsHiGainSaturation() ? GetLoGainSigmaChargeErr() : GetHiGainSigmaChargeErr() ;
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| 398 | }
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| 399 |
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| 400 | Float_t MCalibrationChargePix::GetHiGainMeanChargeErr() const
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| 401 | {
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| 402 | return TMath::Sqrt(fHiGainMeanChargeVar);
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| 403 | }
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| 404 |
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| 405 | Float_t MCalibrationChargePix::GetLoGainMeanCharge() const
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| 406 | {
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| 407 | return fLoGainMeanCharge * fConversionHiLo;
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| 408 | }
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| 409 |
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| 410 | Float_t MCalibrationChargePix::GetLoGainMeanChargeErr() const
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| 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 |
|
|---|
| 422 | Float_t MCalibrationChargePix::GetLoGainSigmaCharge() const
|
|---|
| 423 | {
|
|---|
| 424 | return fLoGainSigmaCharge * fConversionHiLo;
|
|---|
| 425 | }
|
|---|
| 426 |
|
|---|
| 427 | Float_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 |
|
|---|
| 439 | Float_t MCalibrationChargePix::GetHiGainSigmaChargeErr() const
|
|---|
| 440 | {
|
|---|
| 441 | return TMath::Sqrt(fHiGainSigmaChargeVar);
|
|---|
| 442 | }
|
|---|
| 443 |
|
|---|
| 444 | Float_t MCalibrationChargePix::GetRSigmaCharge() const
|
|---|
| 445 | {
|
|---|
| 446 | return IsHiGainSaturation() ? fRSigmaCharge*fConversionHiLo : fRSigmaCharge ;
|
|---|
| 447 | }
|
|---|
| 448 |
|
|---|
| 449 | Float_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 |
|
|---|
| 464 | Float_t MCalibrationChargePix::GetConversionHiLoErr() const
|
|---|
| 465 | {
|
|---|
| 466 | if (fConversionHiLoVar < 0.)
|
|---|
| 467 | return -1.;
|
|---|
| 468 | return TMath::Sqrt(fConversionHiLoVar);
|
|---|
| 469 | }
|
|---|
| 470 |
|
|---|
| 471 | Float_t MCalibrationChargePix::GetPheFFactorMethodErr() const
|
|---|
| 472 | {
|
|---|
| 473 | if (fPheFFactorMethodVar < 0.)
|
|---|
| 474 | return -1.;
|
|---|
| 475 | return TMath::Sqrt(fPheFFactorMethodVar);
|
|---|
| 476 | }
|
|---|
| 477 |
|
|---|
| 478 | Float_t MCalibrationChargePix::GetConversionCombinedMethodErr() const
|
|---|
| 479 | {
|
|---|
| 480 | if (fConversionCombinedMethodVar < 0.)
|
|---|
| 481 | return -1.;
|
|---|
| 482 | return TMath::Sqrt(fConversionCombinedMethodVar);
|
|---|
| 483 | }
|
|---|
| 484 |
|
|---|
| 485 | Float_t MCalibrationChargePix::GetConversionPINDiodeMethodErr() const
|
|---|
| 486 | {
|
|---|
| 487 | if (fConversionPINDiodeMethodVar < 0.)
|
|---|
| 488 | return -1.;
|
|---|
| 489 | return TMath::Sqrt(fConversionPINDiodeMethodVar);
|
|---|
| 490 | }
|
|---|
| 491 |
|
|---|
| 492 | Float_t MCalibrationChargePix::GetConversionBlindPixelMethodErr() const
|
|---|
| 493 | {
|
|---|
| 494 | if (fConversionBlindPixelMethodVar < 0.)
|
|---|
| 495 | return -1.;
|
|---|
| 496 | return TMath::Sqrt(fConversionBlindPixelMethodVar);
|
|---|
| 497 | }
|
|---|
| 498 |
|
|---|
| 499 | Float_t MCalibrationChargePix::GetConversionFFactorMethodErr() const
|
|---|
| 500 | {
|
|---|
| 501 | if (fConversionFFactorMethodVar < 0.)
|
|---|
| 502 | return -1.;
|
|---|
| 503 | return TMath::Sqrt(fConversionFFactorMethodVar);
|
|---|
| 504 | }
|
|---|
| 505 |
|
|---|
| 506 | Float_t MCalibrationChargePix::GetTotalFFactorCombinedMethodErr() const
|
|---|
| 507 | {
|
|---|
| 508 | if (fTotalFFactorCombinedMethodVar < 0.)
|
|---|
| 509 | return -1.;
|
|---|
| 510 | return TMath::Sqrt(fTotalFFactorCombinedMethodVar);
|
|---|
| 511 | }
|
|---|
| 512 |
|
|---|
| 513 | Float_t MCalibrationChargePix::GetTotalFFactorPINDiodeMethodErr() const
|
|---|
| 514 | {
|
|---|
| 515 | if (fTotalFFactorPINDiodeMethodVar < 0.)
|
|---|
| 516 | return -1.;
|
|---|
| 517 | return TMath::Sqrt(fTotalFFactorPINDiodeMethodVar);
|
|---|
| 518 | }
|
|---|
| 519 |
|
|---|
| 520 | Float_t MCalibrationChargePix::GetTotalFFactorBlindPixelMethodErr() const
|
|---|
| 521 | {
|
|---|
| 522 | if (fTotalFFactorBlindPixelMethodVar < 0.)
|
|---|
| 523 | return -1.;
|
|---|
| 524 | return TMath::Sqrt(fTotalFFactorBlindPixelMethodVar);
|
|---|
| 525 | }
|
|---|
| 526 |
|
|---|
| 527 | Float_t MCalibrationChargePix::GetTotalFFactorFFactorMethodErr() const
|
|---|
| 528 | {
|
|---|
| 529 | if (fTotalFFactorFFactorMethodVar < 0.)
|
|---|
| 530 | return -1.;
|
|---|
| 531 | return TMath::Sqrt(fTotalFFactorFFactorMethodVar);
|
|---|
| 532 | }
|
|---|
| 533 |
|
|---|
| 534 | Bool_t MCalibrationChargePix::IsExcluded() const
|
|---|
| 535 | {
|
|---|
| 536 | return TESTBIT(fFlags,kExcluded);
|
|---|
| 537 | }
|
|---|
| 538 |
|
|---|
| 539 | Bool_t MCalibrationChargePix::IsHiGainSaturation() const
|
|---|
| 540 | {
|
|---|
| 541 | return TESTBIT(fFlags,kHiGainSaturation);
|
|---|
| 542 | }
|
|---|
| 543 |
|
|---|
| 544 | Bool_t MCalibrationChargePix::IsLoGainSaturation() const
|
|---|
| 545 | {
|
|---|
| 546 | return TESTBIT(fFlags,kLoGainSaturation);
|
|---|
| 547 | }
|
|---|
| 548 |
|
|---|
| 549 | Bool_t MCalibrationChargePix::IsBlindPixelMethodValid() const
|
|---|
| 550 | {
|
|---|
| 551 | return TESTBIT(fFlags, kBlindPixelMethodValid);
|
|---|
| 552 | }
|
|---|
| 553 |
|
|---|
| 554 | Bool_t MCalibrationChargePix::IsFFactorMethodValid() const
|
|---|
| 555 | {
|
|---|
| 556 | return TESTBIT(fFlags, kFFactorMethodValid);
|
|---|
| 557 | }
|
|---|
| 558 |
|
|---|
| 559 | Bool_t MCalibrationChargePix::IsPINDiodeMethodValid() const
|
|---|
| 560 | {
|
|---|
| 561 | return TESTBIT(fFlags, kPINDiodeMethodValid);
|
|---|
| 562 | }
|
|---|
| 563 |
|
|---|
| 564 | Bool_t MCalibrationChargePix::IsCombinedMethodValid() const
|
|---|
| 565 | {
|
|---|
| 566 | return TESTBIT(fFlags, kCombinedMethodValid);
|
|---|
| 567 | }
|
|---|
| 568 |
|
|---|
| 569 | //
|
|---|
| 570 | //
|
|---|
| 571 | //
|
|---|
| 572 | Bool_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 | //
|
|---|
| 617 | Bool_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 |
|
|---|
| 666 | void 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 |
|
|---|