| 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 | // MCalibrationPix | 
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| 26 | // | 
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| 27 | // Base Storage container for a calibration pixel. Holds mean and sigmas, | 
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| 28 | // their errors, the fit probability and the number of pickup events for | 
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| 29 | // the high-gain and the low-gain derived values. | 
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| 30 | // | 
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| 31 | // Errors are stored internally as variances, but are returned and filled | 
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| 32 | // as square root of the variances. | 
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| 33 | // | 
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| 34 | // Calls to GetMean(), GetMeanErr(), GetSigma(), GetSigmaErr(), GetProb() or | 
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| 35 | // GetNumPickup() and GetNumBlackout() test first the bit kHiGainSaturation | 
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| 36 | // before returning the high-gain or low-gain value, analogue for the | 
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| 37 | // corr. Setters. | 
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| 38 | // | 
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| 39 | // The three flags: kValid, kExcluded and kHiGainSaturation may be set. | 
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| 40 | // The colors: kGREEN, kBLUE, kUV and kCT1 may be set. | 
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| 41 | // | 
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| 42 | ///////////////////////////////////////////////////////////////////////////// | 
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| 43 | #include "MCalibrationPix.h" | 
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| 44 |  | 
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| 45 | ClassImp(MCalibrationPix); | 
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| 46 |  | 
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| 47 | using namespace std; | 
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| 48 |  | 
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| 49 | // -------------------------------------------------------------------------- | 
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| 50 | // | 
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| 51 | // Default Constructor: | 
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| 52 | // | 
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| 53 | // Sets: | 
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| 54 | // - fPixId to -1 | 
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| 55 | // - fFlags to 0 | 
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| 56 | // | 
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| 57 | // Calls: | 
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| 58 | // - Clear() | 
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| 59 | // | 
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| 60 | MCalibrationPix::MCalibrationPix(const char *name, const char *title) | 
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| 61 | : fPixId(-1), | 
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| 62 | fFlags(0) | 
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| 63 | { | 
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| 64 |  | 
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| 65 | fName  = name  ? name  : "MCalibrationPix"; | 
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| 66 | fTitle = title ? title : "Container of the fit results of MHCalibrationPixs "; | 
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| 67 |  | 
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| 68 | Clear(); | 
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| 69 |  | 
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| 70 | } | 
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| 71 |  | 
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| 72 | // ------------------------------------------------------------------------ | 
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| 73 | // | 
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| 74 | // Sets: | 
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| 75 | // - all variables to -1 | 
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| 76 | // - all flags to kFALSE | 
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| 77 | // | 
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| 78 | void MCalibrationPix::Clear(Option_t *o) | 
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| 79 | { | 
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| 80 |  | 
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| 81 | fHiGainNumBlackout   =  -1 ; | 
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| 82 | fHiGainNumPickup     =  -1 ; | 
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| 83 | fHiGainMean          =  -1.; | 
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| 84 | fHiGainMeanVar       =  -1.; | 
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| 85 | fHiGainProb          =  -1.; | 
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| 86 | fHiGainSigma         =  -1.; | 
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| 87 | fHiGainSigmaVar      =  -1.; | 
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| 88 |  | 
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| 89 | fLoGainNumBlackout   =  -1 ; | 
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| 90 | fLoGainNumPickup     =  -1 ; | 
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| 91 | fLoGainMean          =  -1.; | 
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| 92 | fLoGainMeanVar       =  -1.; | 
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| 93 | fLoGainProb          =  -1.; | 
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| 94 | fLoGainSigma         =  -1.; | 
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| 95 | fLoGainSigmaVar      =  -1.; | 
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| 96 |  | 
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| 97 | SetHiGainSaturation  ( kFALSE ); | 
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| 98 | SetExcluded          ( kFALSE ); | 
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| 99 | SetValid             ( kFALSE ); | 
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| 100 |  | 
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| 101 | } | 
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| 102 |  | 
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| 103 | // -------------------------------------------------------------------------- | 
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| 104 | // | 
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| 105 | // Set the Hi Gain Saturation Bit from outside | 
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| 106 | // | 
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| 107 | void MCalibrationPix::SetHiGainSaturation(Bool_t b) | 
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| 108 | { | 
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| 109 | b ?  SETBIT(fFlags, kHiGainSaturation) : CLRBIT(fFlags, kHiGainSaturation); | 
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| 110 | } | 
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| 111 |  | 
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| 112 |  | 
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| 113 | // -------------------------------------------------------------------------- | 
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| 114 | // | 
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| 115 | // Set the Excluded Bit from outside | 
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| 116 | // | 
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| 117 | void MCalibrationPix::SetExcluded(Bool_t b ) | 
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| 118 | { | 
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| 119 | b ?  SETBIT(fFlags, kExcluded) : CLRBIT(fFlags, kExcluded); | 
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| 120 | } | 
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| 121 |  | 
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| 122 | // -------------------------------------------------------------------------- | 
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| 123 | // | 
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| 124 | // Set the Valid Bit from outside | 
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| 125 | // | 
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| 126 | void MCalibrationPix::SetValid(Bool_t b ) | 
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| 127 | { | 
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| 128 | b ?  SETBIT(fFlags, kValid) : CLRBIT(fFlags, kValid); | 
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| 129 | } | 
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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 | // Return -1, if the LoGain Mean is zero or -1. (has not yet been set) | 
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| 135 | // Return -1, if the HiGain Mean is -1.         (has not yet been set) | 
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| 136 | // Return fHiGainMean / fLoGainMean | 
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| 137 | // | 
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| 138 | Float_t MCalibrationPix::GetHiLoMeansDivided() const | 
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| 139 | { | 
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| 140 |  | 
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| 141 | if (fLoGainMean == 0. || fLoGainMean == -1.) | 
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| 142 | return -1.; | 
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| 143 |  | 
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| 144 | if (fHiGainMean == -1.) | 
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| 145 | return -1.; | 
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| 146 |  | 
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| 147 | return fHiGainMean / fLoGainMean; | 
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| 148 |  | 
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| 149 | } | 
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| 150 |  | 
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| 151 | // ---------------------------------------------------------------------------------- | 
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| 152 | // | 
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| 153 | // Return -1, if the LoGain Mean or its variance is zero or -1. (has not yet been set) | 
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| 154 | // Return -1, if the HiGain Mean or its variance is -1.         (has not yet been set) | 
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| 155 | // Return propagated error of GetHiLoMeansDivided() | 
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| 156 | // | 
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| 157 | Float_t MCalibrationPix::GetHiLoMeansDividedErr() const | 
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| 158 | { | 
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| 159 |  | 
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| 160 | if (fLoGainMean == 0. || fLoGainMean == -1.) | 
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| 161 | return -1.; | 
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| 162 |  | 
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| 163 | if (fHiGainMean == -1.) | 
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| 164 | return -1.; | 
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| 165 |  | 
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| 166 | if (fLoGainMeanVar <= 0.) | 
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| 167 | return -1.; | 
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| 168 |  | 
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| 169 | if (fHiGainMeanVar <= 0.) | 
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| 170 | return -1.; | 
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| 171 |  | 
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| 172 | const Float_t lomeansquare = fLoGainMean * fLoGainMean; | 
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| 173 | const Float_t deltaHi = fHiGainMeanVar / lomeansquare; | 
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| 174 | const Float_t deltaLo = fLoGainMeanVar / (lomeansquare * lomeansquare) * fHiGainMean * fHiGainMean; | 
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| 175 |  | 
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| 176 | return TMath::Sqrt(deltaHi + deltaLo); | 
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| 177 |  | 
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| 178 | } | 
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| 179 |  | 
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| 180 | // -------------------------------------------------------------------------- | 
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| 181 | // | 
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| 182 | // Return -1, if the LoGain Sigma is zero or -1. (has not yet been set) | 
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| 183 | // Return -1, if the HiGain Sigma is -1.         (has not yet been set) | 
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| 184 | // Return fHiGainSigma / fLoGainSigma | 
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| 185 | // | 
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| 186 | Float_t MCalibrationPix::GetHiLoSigmasDivided() const | 
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| 187 | { | 
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| 188 |  | 
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| 189 | if (fLoGainSigma == 0. || fLoGainSigma == -1.) | 
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| 190 | return -1.; | 
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| 191 |  | 
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| 192 | if (fHiGainSigma == -1.) | 
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| 193 | return -1.; | 
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| 194 |  | 
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| 195 | return fHiGainSigma / fLoGainSigma; | 
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| 196 |  | 
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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 | // Return -1, if the LoGain Sigma or its variance is zero or -1. (has not yet been set) | 
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| 202 | // Return -1, if the HiGain Sigma or its variance is -1.         (has not yet been set) | 
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| 203 | // Return propagated error of GetHiLoSigmasDivided() | 
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| 204 | // | 
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| 205 | Float_t MCalibrationPix::GetHiLoSigmasDividedErr() const | 
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| 206 | { | 
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| 207 |  | 
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| 208 | if (fLoGainSigma == 0. || fLoGainSigma == -1.) | 
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| 209 | return -1.; | 
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| 210 |  | 
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| 211 | if (fHiGainSigma == -1.) | 
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| 212 | return -1.; | 
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| 213 |  | 
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| 214 | if (fLoGainSigmaVar <= 0.) | 
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| 215 | return -1.; | 
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| 216 |  | 
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| 217 | if (fHiGainSigmaVar <= 0.) | 
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| 218 | return -1.; | 
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| 219 |  | 
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| 220 | const Float_t losigmasquare = fLoGainSigma * fLoGainSigma; | 
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| 221 | const Float_t deltaHi = fHiGainSigmaVar / losigmasquare; | 
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| 222 | const Float_t deltaLo = fLoGainSigmaVar / (losigmasquare * losigmasquare) * fHiGainSigma * fHiGainSigma; | 
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| 223 |  | 
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| 224 | return TMath::Sqrt(deltaHi + deltaLo); | 
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| 225 |  | 
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| 226 | } | 
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| 227 |  | 
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| 228 |  | 
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| 229 | // -------------------------------------------------------------------------- | 
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| 230 | // | 
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| 231 | // Get the Relative Variance of either High Gain or Low Gain Mean | 
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| 232 | // depending on IsHighGainSaturation() | 
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| 233 | // | 
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| 234 | // If variance is smaller than 0. return -1. | 
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| 235 | // | 
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| 236 | Float_t MCalibrationPix::GetMeanRelVar()  const | 
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| 237 | { | 
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| 238 |  | 
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| 239 | if (IsHiGainSaturation()) | 
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| 240 | if (fLoGainMeanVar < 0.) | 
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| 241 | return -1.; | 
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| 242 | else | 
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| 243 | return fLoGainMeanVar / (fLoGainMean * fLoGainMean); | 
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| 244 | else | 
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| 245 | if (fHiGainMeanVar < 0.) | 
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| 246 | return -1.; | 
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| 247 | else | 
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| 248 | return fHiGainMeanVar / (fHiGainMean * fHiGainMean); | 
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| 249 | } | 
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| 250 |  | 
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| 251 | // -------------------------------------------------------------------------- | 
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| 252 | // | 
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| 253 | // Get the Square of either High Gain or Low Gain Mean | 
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| 254 | // depending on IsHighGainSaturation() | 
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| 255 | // | 
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| 256 | Float_t MCalibrationPix::GetMeanSquare()  const | 
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| 257 | { | 
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| 258 |  | 
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| 259 | if (IsHiGainSaturation()) | 
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| 260 | return fLoGainMean == -1. ? -1. : fLoGainMean * fLoGainMean; | 
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| 261 | else | 
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| 262 | return fHiGainMean == -1. ? -1. : fHiGainMean * fHiGainMean; | 
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| 263 | } | 
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| 264 |  | 
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| 265 |  | 
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| 266 | // -------------------------------------------------------------------------- | 
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| 267 | // | 
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| 268 | // Get the Relative Variance of either High Gain or Low Gain Sigma | 
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| 269 | // depending on IsHighGainSaturation() | 
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| 270 | // | 
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| 271 | // If variance is smaller than 0. return -1. | 
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| 272 | // | 
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| 273 | Float_t MCalibrationPix::GetSigmaRelVar()  const | 
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| 274 | { | 
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| 275 |  | 
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| 276 | if (IsHiGainSaturation()) | 
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| 277 | if (fLoGainSigmaVar < 0.) | 
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| 278 | return -1.; | 
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| 279 | else | 
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| 280 | return fLoGainSigmaVar / (fLoGainSigma * fLoGainSigma); | 
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| 281 | else | 
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| 282 | if (fHiGainSigmaVar < 0.) | 
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| 283 | return -1.; | 
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| 284 | else | 
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| 285 | return fHiGainSigmaVar / (fHiGainSigma * fHiGainSigma); | 
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| 286 | } | 
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| 287 |  | 
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| 288 | // -------------------------------------------------------------------------- | 
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| 289 | // | 
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| 290 | // Get the High Gain Mean Error: Takes square root of fHiGainMeanVar | 
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| 291 | // | 
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| 292 | Float_t MCalibrationPix::GetHiGainMeanErr()  const | 
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| 293 | { | 
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| 294 | if (fLoGainMeanVar < 0.) | 
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| 295 | return -1.; | 
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| 296 |  | 
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| 297 | return TMath::Sqrt(fLoGainMeanVar); | 
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| 298 | } | 
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| 299 |  | 
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| 300 |  | 
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| 301 | // -------------------------------------------------------------------------- | 
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| 302 | // | 
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| 303 | // Get the High Gain Sigma Error: Takes square root of fHiGainSigmaVar | 
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| 304 | // | 
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| 305 | Float_t MCalibrationPix::GetHiGainSigmaErr()  const | 
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| 306 | { | 
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| 307 | if (fHiGainSigmaVar < 0.) | 
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| 308 | return -1.; | 
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| 309 |  | 
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| 310 | return TMath::Sqrt(fHiGainSigmaVar); | 
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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 | // Get the Low Gain Mean Error: Takes square root of fLoGainMeanVar | 
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| 316 | // | 
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| 317 | Float_t MCalibrationPix::GetLoGainMeanErr()  const | 
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| 318 | { | 
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| 319 | if (fLoGainMeanVar < 0.) | 
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| 320 | return -1.; | 
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| 321 |  | 
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| 322 | return TMath::Sqrt(fLoGainMeanVar); | 
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| 323 | } | 
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| 324 |  | 
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| 325 | // -------------------------------------------------------------------------- | 
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| 326 | // | 
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| 327 | // Get the Low Gain Mean Rel Variance | 
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| 328 | // | 
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| 329 | Float_t MCalibrationPix::GetLoGainMeanRelVar()  const | 
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| 330 | { | 
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| 331 | if (fLoGainMeanVar < 0.) | 
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| 332 | return -1.; | 
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| 333 | if (fLoGainMean   == 0.) | 
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| 334 | return -1.; | 
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| 335 |  | 
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| 336 | return fLoGainMeanVar / ( fLoGainMean * fLoGainMean); | 
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| 337 | } | 
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| 338 |  | 
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| 339 | // -------------------------------------------------------------------------- | 
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| 340 | // | 
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| 341 | // Get the Low Gain Sigma Error: Takes square root of fHiGainSigmaVar | 
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| 342 | // | 
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| 343 | Float_t MCalibrationPix::GetLoGainSigmaErr()  const | 
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| 344 | { | 
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| 345 | if (fLoGainSigmaVar < 0.) | 
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| 346 | return -1.; | 
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| 347 |  | 
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| 348 | return TMath::Sqrt(fLoGainSigmaVar); | 
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| 349 | } | 
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| 350 |  | 
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| 351 | // -------------------------------------------------------------------------- | 
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| 352 | // | 
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| 353 | // Test bit kHiGainSaturation | 
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| 354 | // | 
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| 355 | Bool_t MCalibrationPix::IsHiGainSaturation()    const | 
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| 356 | { | 
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| 357 | return TESTBIT(fFlags,kHiGainSaturation); | 
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| 358 | } | 
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| 359 |  | 
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| 360 | // -------------------------------------------------------------------------- | 
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| 361 | // | 
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| 362 | // Test bit kExcluded | 
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| 363 | // | 
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| 364 | Bool_t MCalibrationPix::IsExcluded()     const | 
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| 365 | { | 
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| 366 | return TESTBIT(fFlags,kExcluded); | 
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| 367 | } | 
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| 368 |  | 
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| 369 | // -------------------------------------------------------------------------- | 
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| 370 | // | 
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| 371 | // Test bit kValid | 
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| 372 | // | 
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| 373 | Bool_t MCalibrationPix::IsValid()     const | 
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| 374 | { | 
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| 375 | return TESTBIT(fFlags,kValid); | 
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| 376 | } | 
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| 377 |  | 
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