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): Javier López , 4/2004 <mailto:jlopez@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 | #include "MPSFFitCalc.h"
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25 |
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26 | #include <iostream>
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27 |
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28 |
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29 | #include <TH1D.h>
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30 | #include <TString.h>
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31 | #include <TArrayS.h>
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32 | #include <TArrayI.h>
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33 | #include <TArrayD.h>
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34 | #include <TMinuit.h>
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35 | #include <TStopwatch.h>
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36 |
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37 | #include "MGeomPix.h"
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38 | #include "MGeomCam.h"
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39 | #include "MMinuitInterface.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 "MParList.h"
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45 |
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46 | ClassImp(MPSFFitCalc);
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47 |
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48 | using namespace std;
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49 |
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50 |
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51 | const Int_t numVar = 5;
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52 | const Float_t pixelSize = 31.5; //[mm]
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53 | const Float_t sqrt2 = sqrt(2.);
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54 | const Float_t sqrt3 = sqrt(3.);
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55 | const Bool_t usePrintOut = kFALSE;
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56 | const Int_t minuitPrintOut = -1;
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57 |
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58 | UInt_t numPixels;
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59 | Bool_t isPixelUsed[577];
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60 | UInt_t numPixelsUsed;
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61 | Float_t pixelPosX[577];
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62 | Float_t pixelPosY[577];
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63 | Float_t pixelValue[577];
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64 | Float_t ChiSquare;
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65 |
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66 | MPSFFitCalc::MPSFFitCalc(ImgCleanMode_t imgmode, const char *name, const char *title)
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67 | {
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68 | fName = name ? name : "MPSFFitCalc";
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69 | fTitle = title ? title : "Task that fits the PSF using the dc readout of the camera.";
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70 |
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71 | fImgCleanMode = imgmode;
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72 | fNumRings = 6;
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73 | fPedLevel = 3.0;
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74 |
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75 |
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76 | // Initialization of the camera dc mask 'fIsPixelused[]'
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77 | numPixels = 577;
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78 | for (UInt_t pixid=0; pixid<numPixels; pixid++)
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79 | isPixelUsed[pixid] = kTRUE;
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80 |
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81 | fTotalMeanFit.Reset();
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82 | fNumTotalMeanFits = 0;
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83 |
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84 | fMaxDC = 30.;
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85 |
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86 | fPedestalDCHist = new TH1D("ped","",(Int_t)fMaxDC*10,0.,fMaxDC);
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87 |
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88 | fVname = new TString[numVar];
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89 | fVinit.Set(numVar);
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90 | fStep.Set(numVar);
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91 | fLimlo.Set(numVar);
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92 | fLimup.Set(numVar);
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93 | fFix.Set(numVar);
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94 |
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95 |
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96 | fVname[0] = "max";
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97 | fVinit[0] = fMaxDC;
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98 | fStep[0] = fVinit[0]/sqrt2;
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99 | fLimlo[0] = 1.;
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100 | fLimup[0] = 40.;
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101 | fFix[0] = 0;
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102 |
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103 | fVname[1] = "meanminor";
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104 | fVinit[1] = 0.;
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105 | fStep[1] = fVinit[0]/sqrt2;
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106 | fLimlo[1] = -600.;
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107 | fLimup[1] = 600.;
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108 | fFix[1] = 0;
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109 |
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110 | fVname[2] = "sigmaminor";
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111 | fVinit[2] = pixelSize;
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112 | fStep[2] = fVinit[0]/sqrt2;
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113 | fLimlo[2] = pixelSize/(2*sqrt3);
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114 | fLimup[2] = 500.;
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115 | fFix[2] = 0;
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116 |
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117 | fVname[3] = "meanmajor";
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118 | fVinit[3] = 0.;
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119 | fStep[3] = fVinit[0]/sqrt2;
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120 | fLimlo[3] = -600.;
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121 | fLimup[3] = 600.;
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122 | fFix[3] = 0;
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123 |
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124 | fVname[4] = "sigmamajor";
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125 | fVinit[4] = pixelSize;
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126 | fStep[4] = fVinit[0]/sqrt2;
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127 | fLimlo[4] = pixelSize/(2*sqrt3);
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128 | fLimup[4] = 500.;
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129 | fFix[4] = 0;
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130 |
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131 | fObjectFit = NULL;
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132 | // fMethod = "SIMPLEX";
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133 | fMethod = "MIGRAD";
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134 | fNulloutput = kFALSE;
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135 | }
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136 |
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137 | MPSFFitCalc::~MPSFFitCalc()
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138 | {
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139 | delete fPedestalDCHist;
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140 | }
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141 |
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142 | //______________________________________________________________________________
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143 | //
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144 | // The 2D gaussian fucntion used to fit the spot of the star
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145 | //
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146 | static Double_t func(float x,float y,Double_t *par)
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147 | {
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148 | Double_t value=par[0]*exp(-(x-par[1])*(x-par[1])/(2*par[2]*par[2]))*exp(-(y-par[3])*(y-par[3])/(2*par[4]*par[4]));
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149 | return value;
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150 | }
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151 |
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152 | //______________________________________________________________________________
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153 | //
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154 | // Function used by Minuit to do the fit
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155 | //
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156 | static void fcnPSF(Int_t &npar, Double_t *gin, Double_t &f, Double_t *par, Int_t iflag)
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157 | {
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158 |
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159 | //calculate chisquare
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160 | Double_t chisq = 0;
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161 | Double_t delta;
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162 | Double_t x,y,z;
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163 | Double_t errorz = 0.2; //[uA]
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164 |
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165 |
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166 | for (UInt_t pixid=1; pixid<numPixels; pixid++)
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167 | {
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168 |
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169 | if (isPixelUsed[pixid] && pixelValue[pixid]>0.)
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170 | {
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171 | x = pixelPosX[pixid];
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172 | y = pixelPosY[pixid];
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173 | z = pixelValue[pixid];
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174 |
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175 | if (errorz > 0.0)
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176 | {
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177 | delta = (z-func(x,y,par))/errorz;
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178 | chisq += delta*delta;
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179 | }
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180 | else
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181 | cerr << "ERROR fcnPSF: This should never happen errorz[" << pixid << "] " << errorz << endl;
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182 | }
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183 | }
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184 | f = chisq;
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185 | ChiSquare = chisq;
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186 |
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187 | }
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188 |
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189 |
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190 | void MPSFFitCalc::InitFitVariables()
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191 | {
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192 |
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193 | for (UInt_t pixid=1; pixid<577; pixid++)
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194 | pixelValue[pixid]=(Float_t)((*fCamera)[pixid]);
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195 |
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196 | numPixelsUsed = 0;
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197 | Float_t totalDC = 0.0;
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198 |
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199 | fVinit[0] = fMaxDC;
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200 |
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201 | if(usePrintOut)
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202 | *fLog << dbg << "Pixels used in the fit \t";
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203 |
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204 | for (UInt_t idx=0; idx<numPixels; idx++)
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205 | {
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206 | if (isPixelUsed[idx])
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207 | {
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208 | fVinit[1] += pixelPosX[idx]*pixelValue[idx];
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209 | fVinit[3] += pixelPosY[idx]*pixelValue[idx];
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210 | totalDC += pixelValue[idx];
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211 | numPixelsUsed++;
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212 |
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213 | if(usePrintOut)
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214 | *fLog << dbg << ' ' << idx;
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215 | }
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216 | }
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217 | if(usePrintOut)
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218 | *fLog << dbg << endl;
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219 |
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220 |
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221 | fVinit[1] /= totalDC;
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222 | fVinit[3] /= totalDC;
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223 |
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224 |
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225 | fVinit[2] = pixelSize*sqrt((Float_t)numPixelsUsed)/2;
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226 | fVinit[4] = pixelSize*sqrt((Float_t)numPixelsUsed)/3;
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227 |
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228 | //Init steps
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229 |
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230 | for(Int_t i=0; i<numVar; i++)
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231 | if (fVinit[i] != 0)
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232 | fStep[i] = TMath::Abs(fVinit[i]/sqrt2);
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233 |
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234 |
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235 | for (UInt_t pixidx=0; pixidx<numPixels; pixidx++)
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236 | if ( (*fGeomCam)[pixidx].GetSector() == 6)
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237 | fPedestalDCHist->Fill(pixelValue[pixidx]);
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238 |
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239 | fPedestalDC = fPedestalDCHist->GetBinCenter(fPedestalDCHist->GetMaximumBin());
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240 |
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241 | for (UInt_t pixid=1; pixid<577; pixid++)
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242 | pixelValue[pixid]-=fPedestalDC;
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243 |
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244 | if(usePrintOut)
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245 | {
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246 | *fLog << dbg << "numPixelsUsed \t" << numPixelsUsed << endl;
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247 | *fLog << dbg << "fPedestalDC \t" << fPedestalDC << endl;
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248 | *fLog << dbg << "Maximun DC Init. value \t" << fVinit[0] << endl;
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249 | *fLog << dbg << "Mean Minor Axis Init. value \t" << fVinit[1] << " mm\t";
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250 | *fLog << dbg << "Sigma Minor Axis Init. value \t" << fVinit[2] << endl;
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251 | *fLog << dbg << "Mean Major Axis Init. value \t" << fVinit[3] << " mm\t";
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252 | *fLog << dbg << "Sigma Major Axis Init. value \t" << fVinit[4] << endl;
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253 | }
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254 | }
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255 |
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256 | void MPSFFitCalc::RingImgClean()
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257 | {
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258 |
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259 | Bool_t isPixelUsedTmp[577];
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260 |
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261 | fMaxDC=0;
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262 | UInt_t maxDCpix[2];
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263 |
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264 |
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265 | // Look for the two neighbor pixels with the maximun signal and set all pixels as unused
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266 | Float_t dc[2];
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267 | Float_t dcsum;
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268 |
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269 | // Find the two close pixels with the maximun dc
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270 | for(UInt_t pixidx=0; pixidx<numPixels; pixidx++)
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271 | {
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272 |
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273 | if(isPixelUsed[pixidx])
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274 | {
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275 | dc[0] = (Float_t)(*fCamera)[pixidx];
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276 | isPixelUsedTmp[pixidx] = kFALSE;
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277 |
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278 | MGeomPix g = (*fGeomCam)[pixidx];
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279 | Int_t numNextNeighbors = g.GetNumNeighbors();
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280 |
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281 | for(Int_t nextNeighbor=0; nextNeighbor<numNextNeighbors; nextNeighbor++)
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282 | {
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283 | if(isPixelUsed[pixidx])
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284 | {
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285 | UInt_t swneighbor = g.GetNeighbor(nextNeighbor);
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286 | dc[1] = (Float_t)(*fCamera)[swneighbor];
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287 |
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288 | dcsum = dc[0] + dc[1];
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289 |
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290 | if(dcsum > fMaxDC*2)
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291 | {
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292 | maxDCpix[0] = pixidx;
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293 | maxDCpix[1] = swneighbor;
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294 | fMaxDC = dcsum/2;
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295 | }
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296 | }
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297 | }
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298 | }
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299 | }
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300 |
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301 | // Those variables are:
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302 | // 1. an array of 2 dimensions
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303 | // 1.1 the first dimension store the ring around the 'maxiun signal pixel'
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304 | // 1.2 the sw numbers of the pixels in this ring
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305 | // 2. an array with the number of pixels in each ring
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306 | UInt_t isPixelUesdInRing[fNumRings][577];
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307 | UInt_t numPixelsUsedInRing[fNumRings];
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308 |
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309 | // Store the 'maximun signal pixel in the [0] ring and set it as used
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310 |
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311 | for (Int_t core=0; core<2; core++)
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312 | {
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313 | isPixelUesdInRing[0][0] = maxDCpix[core];
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314 | numPixelsUsedInRing[0] = 1;
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315 | isPixelUsedTmp[isPixelUesdInRing[0][0]] = kTRUE;
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316 |
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317 | UInt_t count;
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318 |
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319 | // Loop over the neighbors of the previus ring and store the sw numbers in the 2D array to be
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320 | // use in the next loop/ring
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321 | for (UShort_t ring=0; ring<fNumRings-1; ring++)
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322 | {
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323 | count = 0; // In this variable we count the pixels we are in each ring
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324 | for(UInt_t nextPixelUsed=0; nextPixelUsed<numPixelsUsedInRing[ring]; nextPixelUsed++)
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325 | {
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326 | MGeomPix g = (*fGeomCam)[isPixelUesdInRing[ring][nextPixelUsed]];
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327 | Int_t numNextNeighbors = g.GetNumNeighbors();
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328 | for(Int_t nextNeighbor=0; nextNeighbor<numNextNeighbors; nextNeighbor++)
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329 | {
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330 | UInt_t swneighbor = g.GetNeighbor(nextNeighbor);
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331 | if (!isPixelUsedTmp[swneighbor])
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332 | {
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333 | isPixelUsedTmp[swneighbor] = kTRUE;
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334 | isPixelUesdInRing[ring+1][count] = swneighbor;
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335 | count++;
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336 | }
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337 | }
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338 | numPixelsUsedInRing[ring+1] = count;
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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 | if(usePrintOut)
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344 | {
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345 | for (UInt_t row=0; row<fNumRings; row++)
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346 | {
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347 |
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348 | *fLog << dbg << "fIsPixeUsed[" << row << "][" << numPixelsUsedInRing[row] << "] ";
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349 | for (UInt_t column=0; column<numPixelsUsedInRing[row]; column++)
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350 | *fLog << dbg << isPixelUesdInRing[row][column] << ' ';
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351 | *fLog << dbg << endl;
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352 | }
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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 | for(UInt_t pixidx=0; pixidx<numPixels; pixidx++)
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358 | {
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359 | if(isPixelUsed[pixidx] && isPixelUsedTmp[pixidx])
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360 | isPixelUsed[pixidx] = kTRUE;
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361 | else
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362 | isPixelUsed[pixidx] = kFALSE;
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363 | }
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364 |
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365 | }
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366 |
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367 | void MPSFFitCalc::RmsImgClean(Float_t pedestal)
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368 | {}
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369 |
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370 | void MPSFFitCalc::MaskImgClean(TArrayS blindpixels)
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371 | {
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372 |
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373 | Int_t npix = blindpixels.GetSize();
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374 |
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375 | for (Int_t idx=0; idx<npix; idx++)
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376 | isPixelUsed[blindpixels[idx]] = kFALSE;
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377 |
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378 | }
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379 |
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380 | // --------------------------------------------------------------------------
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381 | //
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382 | // The PreProcess searches for the following input containers:
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383 | // - MCameraDC
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384 | //
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385 | // The following output containers are also searched and created if
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386 | // they were not found:
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387 | //
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388 | // - MPSFFit
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389 | //
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390 | Int_t MPSFFitCalc::PreProcess(MParList *pList)
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391 | {
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392 |
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393 | fGeomCam = (MGeomCam*)pList->FindObject(AddSerialNumber("MGeomCam"));
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394 |
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395 | if (!fGeomCam)
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396 | {
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397 | *fLog << err << AddSerialNumber("MGeomCam") << " not found ... aborting" << endl;
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398 | return kFALSE;
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399 | }
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400 |
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401 | // Initialize positions of the pixels to be used in the minuit minimizations
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402 |
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403 | for (UInt_t pixid=1; pixid<577; pixid++)
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404 | {
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405 | MGeomPix &pix=(*fGeomCam)[pixid];
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406 | pixelPosX[pixid] = pix.GetX();
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407 | pixelPosY[pixid] = pix.GetY();
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408 | }
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409 |
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410 | fCamera = (MCameraDC*)pList->FindObject(AddSerialNumber("MCameraDC"));
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411 |
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412 | if (!fCamera)
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413 | {
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414 | *fLog << err << AddSerialNumber("MCameraDC") << " not found ... aborting" << endl;
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415 | return kFALSE;
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416 | }
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417 |
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418 | fFit = (MPSFFit*)pList->FindCreateObj(AddSerialNumber("MPSFFit"));
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419 | if (!fFit)
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420 | {
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421 | *fLog << err << AddSerialNumber("MPSFFit") << " cannot be created ... aborting" << endl;
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422 | return kFALSE;
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423 | }
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424 |
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425 | // Minuit initialization
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426 |
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427 | TMinuit *gMinuit = new TMinuit(6); //initialize TMinuit with a maximum of 5 params
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428 | gMinuit->SetFCN(fcnPSF);
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429 |
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430 | Double_t arglist[10];
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431 | Int_t ierflg = 0;
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432 |
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433 | arglist[0] = 1;
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434 | gMinuit->mnexcm("SET ERR", arglist ,1,ierflg);
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435 | arglist[0] = minuitPrintOut;
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436 | gMinuit->mnexcm("SET PRI", arglist ,1,ierflg);
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437 |
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438 | return kTRUE;
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439 |
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440 | }
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441 |
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442 | Int_t MPSFFitCalc::Process()
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443 | {
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444 |
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445 | // ------------------------------------------
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446 | // image cleaning
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447 |
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448 | switch(fImgCleanMode)
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449 | {
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450 | case kRing:
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451 | {
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452 | RingImgClean();
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453 | break;
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454 | }
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455 | case kRms:
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456 | {
|
---|
457 | RmsImgClean(fPedLevel);
|
---|
458 | break;
|
---|
459 | }
|
---|
460 | case kMask:
|
---|
461 | {
|
---|
462 | MaskImgClean(fBlindPixels);
|
---|
463 | break;
|
---|
464 | }
|
---|
465 | case kCombined:
|
---|
466 | {
|
---|
467 | MaskImgClean(fBlindPixels);
|
---|
468 | RingImgClean();
|
---|
469 | MaskImgClean(fBlindPixels);
|
---|
470 | break;
|
---|
471 | }
|
---|
472 | default:
|
---|
473 | {
|
---|
474 | *fLog << err << "Image Cleaning mode " << fImgCleanMode << " not defined" << endl;
|
---|
475 | return kFALSE;
|
---|
476 | }
|
---|
477 | }
|
---|
478 |
|
---|
479 | InitFitVariables();
|
---|
480 |
|
---|
481 | // -------------------------------------------
|
---|
482 | // call MINUIT
|
---|
483 |
|
---|
484 | Double_t arglist[10];
|
---|
485 | Int_t ierflg = 0;
|
---|
486 |
|
---|
487 | for (Int_t i=0; i<numVar; i++)
|
---|
488 | gMinuit->mnparm(i, fVname[i], fVinit[i], fStep[i], fLimlo[i], fLimup[i], ierflg);
|
---|
489 |
|
---|
490 | TStopwatch clock;
|
---|
491 | clock.Start();
|
---|
492 |
|
---|
493 | // Now ready for minimization step
|
---|
494 | arglist[0] = 500;
|
---|
495 | arglist[1] = 1.;
|
---|
496 | gMinuit->mnexcm(fMethod, arglist ,2,ierflg);
|
---|
497 |
|
---|
498 | clock.Stop();
|
---|
499 |
|
---|
500 | if(usePrintOut)
|
---|
501 | {
|
---|
502 | *fLog << dbg << "Time spent for the minimization in MINUIT : " << endl;;
|
---|
503 | clock.Print();
|
---|
504 | }
|
---|
505 |
|
---|
506 | if (ierflg)
|
---|
507 | {
|
---|
508 | *fLog << err << "MMinuitInterface::CallMinuit error " << ierflg << endl;
|
---|
509 | return kCONTINUE;
|
---|
510 | }
|
---|
511 |
|
---|
512 | fNumTotalMeanFits++;
|
---|
513 |
|
---|
514 | Double_t parm,parmerr;
|
---|
515 |
|
---|
516 | gMinuit->GetParameter(0,parm,parmerr);
|
---|
517 | fFit->SetMaximun(parm);
|
---|
518 | fTotalMeanFit.SetMaximun(fTotalMeanFit.GetMaximun()+parm);
|
---|
519 |
|
---|
520 | gMinuit->GetParameter(1,parm,parmerr);
|
---|
521 | fFit->SetMeanMinorAxis(parm);
|
---|
522 | fTotalMeanFit.SetMeanMinorAxis(fTotalMeanFit.GetMeanMinorAxis()+parm);
|
---|
523 |
|
---|
524 | gMinuit->GetParameter(2,parm,parmerr);
|
---|
525 | fFit->SetSigmaMinorAxis(parm);
|
---|
526 | fTotalMeanFit.SetSigmaMinorAxis(fTotalMeanFit.GetSigmaMinorAxis()+parm);
|
---|
527 |
|
---|
528 | gMinuit->GetParameter(3,parm,parmerr);
|
---|
529 | fFit->SetMeanMajorAxis(parm);
|
---|
530 | fTotalMeanFit.SetMeanMajorAxis(fTotalMeanFit.GetMeanMajorAxis()+parm);
|
---|
531 |
|
---|
532 | gMinuit->GetParameter(4,parm,parmerr);
|
---|
533 | fFit->SetSigmaMajorAxis(parm);
|
---|
534 | fTotalMeanFit.SetSigmaMajorAxis(fTotalMeanFit.GetSigmaMajorAxis()+parm);
|
---|
535 |
|
---|
536 | fFit->SetChisquare(ChiSquare/(numPixelsUsed-numVar));
|
---|
537 | fTotalMeanFit.SetChisquare(fTotalMeanFit.GetChisquare()+ChiSquare/(numPixelsUsed-numVar));
|
---|
538 |
|
---|
539 | if(usePrintOut)
|
---|
540 | {
|
---|
541 | fFit->Print();
|
---|
542 | fTotalMeanFit.Print();
|
---|
543 | }
|
---|
544 |
|
---|
545 | return kTRUE;
|
---|
546 | }
|
---|
547 |
|
---|
548 | Int_t MPSFFitCalc::PostProcess()
|
---|
549 | {
|
---|
550 |
|
---|
551 | fTotalMeanFit.SetMaximun(fTotalMeanFit.GetMaximun()/fNumTotalMeanFits);
|
---|
552 | fTotalMeanFit.SetMeanMinorAxis(fTotalMeanFit.GetMeanMinorAxis()/fNumTotalMeanFits);
|
---|
553 | fTotalMeanFit.SetSigmaMinorAxis(fTotalMeanFit.GetSigmaMinorAxis()/fNumTotalMeanFits);
|
---|
554 | fTotalMeanFit.SetMeanMajorAxis(fTotalMeanFit.GetMeanMajorAxis()/fNumTotalMeanFits);
|
---|
555 | fTotalMeanFit.SetSigmaMajorAxis(fTotalMeanFit.GetSigmaMajorAxis()/fNumTotalMeanFits);
|
---|
556 | fTotalMeanFit.SetChisquare(fTotalMeanFit.GetChisquare()/fNumTotalMeanFits);
|
---|
557 |
|
---|
558 | fFit->SetMaximun(fTotalMeanFit.GetMaximun());
|
---|
559 | fFit->SetMeanMinorAxis(fTotalMeanFit.GetMeanMinorAxis());
|
---|
560 | fFit->SetSigmaMinorAxis(fTotalMeanFit.GetSigmaMinorAxis());
|
---|
561 | fFit->SetMeanMajorAxis(fTotalMeanFit.GetMeanMajorAxis());
|
---|
562 | fFit->SetSigmaMajorAxis(fTotalMeanFit.GetSigmaMajorAxis());
|
---|
563 | fFit->SetChisquare(fTotalMeanFit.GetChisquare());
|
---|
564 |
|
---|
565 | if(usePrintOut)
|
---|
566 | fTotalMeanFit.Print();
|
---|
567 |
|
---|
568 | return kTRUE;
|
---|
569 | }
|
---|