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): Thomas Bretz, 10/2003 <mailto:tbretz@astro.uni-wuerzburg.de>
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19 | ! Author(s): Hendrik Bartko, 08/2004 <mailto:hbartko@mppmu.mpg.de>
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20 | ! Author(s): Stefan Ruegamer, 03/2006 <mailto:snruegam@astro.uni-wuerzburg.de>
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21 | !
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22 | ! Copyright: MAGIC Software Development, 2000-2007
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23 | !
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24 | !
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25 | \* ======================================================================== */
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26 |
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27 | /////////////////////////////////////////////////////////////////////////////
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28 | //
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29 | // MCameraData
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30 | //
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31 | // This is a generalized class storing camera data. For example the cleaning
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32 | // level for the image cleaning is one possibility.
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33 | //
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34 | /////////////////////////////////////////////////////////////////////////////
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35 | #include "MCameraData.h"
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36 |
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37 | #include <TArrayI.h>
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38 |
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39 | #include "MMath.h"
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40 |
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41 | #include "MLog.h"
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42 | #include "MLogManip.h"
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43 |
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44 | #include "MGeomCam.h"
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45 | #include "MGeomPix.h"
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46 |
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47 | #include "MPedPhotCam.h"
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48 | #include "MPedPhotPix.h"
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49 |
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50 | #include "MSignalCam.h"
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51 | #include "MSignalPix.h"
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52 |
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53 | ClassImp(MCameraData);
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54 |
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55 | using namespace std;
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56 |
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57 | // --------------------------------------------------------------------------
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58 | //
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59 | // Creates a MSignalPix object for each pixel in the event
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60 | //
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61 | MCameraData::MCameraData(const char *name, const char *title)
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62 | {
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63 | fName = name ? name : "MCameraData";
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64 | fTitle = title ? title : "Generalized storage container for camera contents";
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65 | }
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66 |
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67 | /*
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68 | // --------------------------------------------------------------------------
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69 | //
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70 | // This is not yet implemented like it should.
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71 | //
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72 |
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73 | void MCameraData::Draw(Option_t* option)
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74 | {
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75 | //
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76 | // FIXME!!! Here the Draw function of the CamDisplay
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77 | // should be called to add the CamDisplay to the Pad.
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78 | // The drawing should be done in MCamDisplay::Paint
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79 | //
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80 |
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81 | // MGeomCam *geom = fType ? new MGeomCamMagic : new MGeomCamCT1;
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82 | // MCamDisplay *disp = new MCamDisplay(geom);
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83 | // delete geom;
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84 | // disp->DrawPhotNum(this);
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85 | }
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86 | */
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87 |
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88 |
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89 | // --------------------------------------------------------------------------
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90 | //
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91 | // Function to calculate the cleaning level for all pixels in a given event
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92 | // as the ratio between the measured photons and the pedestal rms.
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93 | // In order to do the image cleaning on average in the same photon flux
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94 | // (reconstructed photons per pixel area) for the inner and outer pixels,
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95 | // a correction factor is applied to the outer pixels (see TDAS 02-14).
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96 | // The correction factor assumes the ideal case that the pedestal rms
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97 | // scales with the inverse square root of the pixel area.
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98 | //
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99 | // FIXME: Should the check noise<=0 be replaced by MBadPixels?
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100 | //
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101 | void MCameraData::CalcCleaningLevel(const MSignalCam &evt, const MPedPhotCam &cam,
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102 | const MGeomCam &geom)
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103 | {
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104 | const Int_t n = geom.GetNumPixels();
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105 |
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106 | // Reset arrays
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107 | fData.Set(n);
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108 | fData.Reset();
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109 |
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110 | fValidity.Set(n);
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111 | fValidity.Reset();
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112 |
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113 | const Int_t entries = evt.GetNumPixels();
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114 |
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115 | // calculate cleaning levels
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116 | for (Int_t idx=0; idx<entries; idx++)
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117 | {
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118 | const MSignalPix &pix = evt[idx];
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119 |
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120 | const Float_t noise = cam[idx].GetRms();
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121 |
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122 | if (noise<=0) // fData[idx]=0, fValidity[idx]=0
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123 | continue;
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124 |
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125 | //
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126 | // We calculate a correction factor which accounts for the
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127 | // fact that pixels have different size (see TDAS 02-14).
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128 | //
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129 | fData[idx] = pix.GetNumPhotons() * geom.GetPixRatioSqrt(idx) / noise;
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130 | fValidity[idx] = 1;
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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 | //
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136 | // Function to calculate the cleaning level for all pixels in a given event
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137 | // as the ratio between the measured photons and the pedestal rms.
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138 | // In order to do the image cleaning on average in the same photon flux
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139 | // (reconstructed photons per pixel area) for the inner and outer pixels,
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140 | // a correction factor is applied to the outer pixels (see TDAS 02-14).
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141 | // The correction factor takes the actual average pedestal RMS of the
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142 | // inner and outer pixels into account.
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143 | //
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144 | // FIXME: Should the check noise<=0 be replaced by MBadPixels?
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145 | //
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146 | void MCameraData::CalcCleaningLevel2(const MSignalCam &evt, const MPedPhotCam &cam,
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147 | const MGeomCam &geom)
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148 | {
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149 | const Int_t n = geom.GetNumPixels();
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150 |
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151 | // reset arrays
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152 | fData.Set(n);
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153 | fData.Reset();
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154 |
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155 | fValidity.Set(n);
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156 | fValidity.Reset();
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157 |
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158 | // check validity of rms with area index 0
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159 | const Float_t anoise0 = cam.GetArea(0).GetRms();
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160 | if (anoise0<=0)
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161 | return;
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162 |
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163 | // calculate cleaning levels
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164 | const Int_t entries = evt.GetNumPixels();
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165 | for (Int_t idx=0; idx<entries; idx++)
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166 | {
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167 | const MSignalPix &pix = evt[idx];
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168 |
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169 | const Float_t noise = cam[idx].GetRms();
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170 |
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171 | if (noise<=0) // fData[idx]=0, fValidity[idx]=0
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172 | continue;
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173 |
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174 | //
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175 | // We calculate a correction factor which accounts for the
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176 | // fact that pixels have different size (see TDAS 02-14).
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177 | // We also take into account that the RMS does not scale
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178 | // with the square root of the pixel area.
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179 | //
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180 | const UInt_t aidx = geom[idx].GetAidx();
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181 | const Float_t ratio = cam.GetArea(aidx).GetRms()/anoise0;
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182 |
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183 | fData[idx] = pix.GetNumPhotons() * geom.GetPixRatio(idx) * ratio / noise;
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184 | fValidity[idx] = 1;
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185 | }
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186 | }
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187 |
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188 | void MCameraData::CalcCleaningLevel(const MSignalCam &evt, Double_t noise,
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189 | const MGeomCam &geom)
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190 | {
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191 | const Int_t n = geom.GetNumPixels();
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192 |
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193 | // reset arrays
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194 | fData.Set(n);
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195 | fData.Reset();
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196 |
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197 | fValidity.Set(n);
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198 | fValidity.Reset();
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199 |
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200 | // check validity of noise
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201 | if (noise<=0)
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202 | return;
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203 |
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204 | // calculate cleaning levels
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205 | const Int_t entries = evt.GetNumPixels();
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206 | for (Int_t idx=0; idx<entries; idx++)
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207 | {
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208 | const MSignalPix &pix = evt[idx];
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209 |
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210 | //
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211 | // We calculate a correction factor which accounts for the
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212 | // fact that pixels have different size (see TDAS 02-14).
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213 | //
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214 | fData[idx] = pix.GetNumPhotons() * geom.GetPixRatio(idx) / noise;
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215 | fValidity[idx] = 1;
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216 | }
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217 | }
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218 |
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219 | // --------------------------------------------------------------------------
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220 | //
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221 | // Function to calculate the cleaning level for all pixels in a given event
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222 | // as the ratio between the reconstructed number of photons per area of an
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223 | // inner pixel and the average pedestal RMS of the inner pixels (democratic
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224 | // image cleaning, see TDAS 02-14).
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225 | //
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226 | // FIXME: Should the check noise<=0 be replaced by MBadPixels?
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227 | //
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228 | void MCameraData::CalcCleaningLevelDemocratic(const MSignalCam &evt, const MPedPhotCam &cam,
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229 | const MGeomCam &geom)
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230 | {
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231 | const Int_t n = geom.GetNumPixels();
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232 |
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233 | // reset arrays
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234 | fData.Set(n);
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235 | fData.Reset();
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236 |
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237 | fValidity.Set(n);
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238 | fValidity.Reset();
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239 |
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240 | // check validity of rms with area index 0
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241 | const Float_t noise0 = cam.GetArea(0).GetRms();
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242 | if (noise0<=0)
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243 | return;
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244 |
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245 | // calculate cleaning levels
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246 | const Int_t entries = evt.GetNumPixels();
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247 | for (Int_t idx=0; idx<entries; idx++)
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248 | {
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249 | const MSignalPix &pix = evt[idx];
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250 |
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251 | const Float_t noise = cam[idx].GetRms();
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252 |
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253 | if (noise<=0)
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254 | continue;
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255 |
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256 | //
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257 | // We calculate a correction factor which accounts for the
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258 | // fact that pixels have different size (see TDAS 02-14).
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259 | //
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260 | fData[idx] = pix.GetNumPhotons() * geom.GetPixRatio(idx) / noise0;
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261 | fValidity[idx] = 1;
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262 | }
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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 | // Function to calculate the cleaning level for all pixels in a given event.
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268 | // The level is the probability that the signal is a real signal (taking
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269 | // the signal height and the fluctuation of the background into account)
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270 | // times one minus the probability that the signal is a background
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271 | // fluctuation (calculated from the time spread of arrival times
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272 | // around the pixel with the highest signal)
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273 | //
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274 | // FIXME: Should the check noise<=0 be replaced by MBadPixels?
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275 | //
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276 | void MCameraData::CalcCleaningProbability(const MSignalCam &evt, const MPedPhotCam &pcam,
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277 | const MGeomCam &geom)
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278 | {
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279 | const Int_t n = geom.GetNumPixels();
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280 |
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281 | // Reset arrays
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282 | fData.Set(n);
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283 | fData.Reset();
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284 |
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285 | fValidity.Set(n);
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286 | fValidity.Reset();
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287 |
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288 | // check validity of noise
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289 | const Float_t anoise0 = pcam.GetArea(0).GetRms();
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290 | if (anoise0<=0)
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291 | return;
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292 |
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293 | const Int_t entries = evt.GetNumPixels();
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294 |
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295 | // Find pixel with max signal
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296 | Int_t maxidx = 0;
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297 |
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298 | // Find pixel entry with maximum signal
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299 | for (Int_t i=0; i<entries; i++)
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300 | {
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301 | const Double_t s0 = evt[i].GetNumPhotons() * geom.GetPixRatio(i);
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302 | const Double_t s1 = evt[maxidx].GetNumPhotons() * geom.GetPixRatio(maxidx);
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303 | if (s0>s1)
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304 | maxidx = i;
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305 | }
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306 |
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307 | const Double_t timemean = evt[maxidx].GetArrivalTime();
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308 | const Double_t timerms = 0.75; //[slices] rms time spread around highest pixel
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309 |
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310 | // calculate cleaning levels
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311 | for (Int_t idx=0; idx<entries; idx++)
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312 | {
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313 | const MSignalPix &spix = evt[idx];
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314 |
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315 | const Float_t rms = pcam[idx].GetRms();
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316 | if (rms<=0) // fData[idx]=0, fValidity[idx]=0
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317 | continue;
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318 |
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319 | fValidity[idx]=1;
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320 |
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321 | // get signal and arrival time
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322 | const UInt_t aidx = geom[idx].GetAidx();
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323 | const Float_t ratio = pcam.GetArea(aidx).GetRms()/anoise0;
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324 |
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325 | const Double_t signal = spix.GetNumPhotons() * geom.GetPixRatio(idx) * ratio / rms;
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326 | const Double_t time = evt[idx].GetArrivalTime();
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327 |
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328 | // if signal<0 the probability is equal 0
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329 | if (signal<0)
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330 | continue;
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331 |
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332 | // Just for convinience for easy readybility
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333 | const Double_t means = 0;
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334 | const Double_t meant = timemean;
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335 |
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336 | const Double_t sigmas = rms;
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337 | const Double_t sigmat = timerms;
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338 |
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339 | // Get probabilities
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340 | const Double_t psignal = MMath::GaussProb(signal, sigmas, means);
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341 | const Double_t pbckgnd = MMath::GaussProb(time, sigmat, meant);
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342 |
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343 | // Set probability
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344 | fData[idx] = psignal*(1-pbckgnd);
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345 | fValidity[idx] = 1;
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346 |
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347 | // Make sure, that we don't run into trouble because of
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348 | // a little numerical uncertanty
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349 | if (fData[idx]>1)
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350 | fData[idx]=1;
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351 | if (fData[idx]<0)
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352 | fData[idx]=0;
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353 | }
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354 | }
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355 |
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356 | // --------------------------------------------------------------------------
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357 | //
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358 | // Function to calculate the cleaning level for all pixels in a given event.
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359 | // The level is the absolute number of photons times the area-ratio.
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360 | //
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361 | void MCameraData::CalcCleaningAbsolute(const MSignalCam &evt, const MGeomCam &geom)
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362 | {
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363 | const Int_t n = geom.GetNumPixels();
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364 |
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365 | // Reset arrays
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366 | fData.Set(n);
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367 | fData.Reset();
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368 |
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369 | fValidity.Set(n);
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370 | fValidity.Reset();
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371 |
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372 | const Int_t entries = evt.GetNumPixels();
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373 |
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374 | // calculate cleaning levels
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375 | for (Int_t idx=0; idx<entries; idx++)
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376 | {
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377 | const MSignalPix &spix = evt[idx];
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378 |
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379 | // Set probability
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380 | fData[idx] = spix.GetNumPhotons() * geom.GetPixRatio(idx);
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381 | fValidity[idx] = 1;
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382 | }
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383 | }
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384 |
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385 | void MCameraData::CalcCleaningArrivalTime(const MSignalCam &evt, const MGeomCam &geom)
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386 | {
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387 | const Int_t n = geom.GetNumPixels();
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388 |
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389 | // Reset arrays
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390 | fData.Set(n);
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391 | fData.Reset();
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392 |
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393 | fValidity.Set(n);
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394 | fValidity.Reset();
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395 |
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396 | // check validity of noise
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397 | const Int_t entries = evt.GetNumPixels();
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398 | TArrayD u(6), w(6);
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399 | TArrayI ii(6);
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400 |
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401 | for (int i=0; i<entries; i++)
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402 | {
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403 | if (evt[i].IsPixelUnmapped())
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404 | continue;
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405 |
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406 | const Double_t t0 = evt[i].GetArrivalTime();
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407 | const Double_t s0 = evt[i].GetNumPhotons();
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408 | const Double_t r0 = geom.GetPixRatio(i);
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409 | const Double_t x0 = geom[i].GetX();
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410 | const Double_t y0 = geom[i].GetY();
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411 |
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412 | const Double_t e0 = s0<0.01 ? 100 : 1./s0;
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413 |
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414 | const Int_t n2 = geom[i].GetNumNeighbors();
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415 |
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416 | Int_t cnt2=0;
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417 | for (int j=0; j<n2; j++)
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418 | {
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419 | Int_t idx = geom[i].GetNeighbor(j);
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420 |
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421 | if (evt[idx].IsPixelUnmapped())
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422 | continue;
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423 |
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424 | const Double_t tj = evt[idx].GetArrivalTime()-t0;
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425 | const Double_t sj = evt[idx].GetNumPhotons();
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426 | const Double_t rj = geom.GetPixRatio(idx)+r0;
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427 | const Double_t xj = geom[idx].GetX()-x0;
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428 | const Double_t yj = geom[idx].GetY()-y0;
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429 |
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430 | const Double_t d2 = xj*xj+yj*yj;
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431 |
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432 | const Double_t ej = sj<0.01 ? 100 : 1./sj;
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433 |
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434 | u[cnt2] = tj*tj/rj;
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435 | w[cnt2] = 1./(e0+ej)/d2; // TYPE I+II
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436 | cnt2++;
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437 | }
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438 |
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439 | TMath::Sort(cnt2, u.GetArray(), ii.GetArray(), kFALSE);
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440 |
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441 | Double_t sumt = 0;
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442 | Double_t sumw = 0;
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443 | for (int j=0; j<TMath::Min(cnt2, 3); j++)
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444 | {
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445 | sumt += u[ii[j]]*w[ii[j]];
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446 | sumw += w[ii[j]];
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447 | }
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448 |
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449 | const Double_t wuz = TMath::Sqrt(sumt/sumw);
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450 |
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451 | if (TMath::IsNaN(wuz))
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452 | *fLog << warn << "WARNING - MCameraData " << sumt << " " << sumw << endl;
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453 |
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454 | Double_t val = s0<0 || TMath::IsNaN(wuz) || wuz<1e-200 ? 0 : s0*r0/wuz;
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455 |
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456 | if ((s0>0 && wuz<1e-200) || val>100)
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457 | val=100;
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458 |
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459 | fData[i] = TMath::Log10(val+1)*5;
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460 |
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461 | if (TMath::IsNaN(fData[i]))
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462 | // 0 1e-6 0 NaN
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463 | *fLog << warn << "WARNING - MCameraData " << sumt << " " << sumw << " " << wuz << " " << val << endl;
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464 |
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465 | fValidity[i] = 1;
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466 | }
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467 | }
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468 |
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469 | // --------------------------------------------------------------------------
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470 | //
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471 | // Returns the contents of the pixel.
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472 | //
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473 | Bool_t MCameraData::GetPixelContent(Double_t &val, Int_t idx, const MGeomCam &cam, Int_t type) const
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474 | {
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475 | if (idx<0 || idx>=fData.GetSize())
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476 | return kFALSE;
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477 |
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478 | val = fData[idx];
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479 | return fValidity[idx];
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480 | }
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481 |
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482 | void MCameraData::DrawPixelContent(Int_t num) const
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483 | {
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484 | *fLog << warn << "MCameraData::DrawPixelContent - not available." << endl;
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485 | }
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486 |
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487 | void MCameraData::Print(Option_t *o) const
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488 | {
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489 | MParContainer::Print(o);
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490 | *fLog << "Size = " << fData.GetSize() << endl;
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491 | for (int i=0; i<fData.GetSize(); i++)
|
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492 | cout << i << ": " << fData[i] << endl;
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493 | }
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