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 05/2004 <mailto:jlopezs@ifae.es>
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19 | !
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20 | ! Copyright: MAGIC Software Development, 2000-2004
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21 | !
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22 | !
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23 | \* ======================================================================== */
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24 | /////////////////////////////////////////////////////////////////////////////
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25 | //
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26 | // MHPSFFromStars
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27 | //
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28 | /////////////////////////////////////////////////////////////////////////////
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29 | #include "MHPSFFromStars.h"
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30 |
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31 | #include <TVirtualPad.h>
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32 | #include <TCanvas.h>
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33 | #include <TPad.h>
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34 | #include <TText.h>
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35 | #include <TPaveText.h>
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36 | #include <TF1.h>
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37 |
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38 | #include "MLog.h"
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39 | #include "MLogManip.h"
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40 |
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41 | #include "MGeomCam.h"
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42 | #include "MGeomPix.h"
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43 | #include "MCameraDC.h"
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44 |
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45 | #include "MStarLocalCam.h"
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46 | #include "MStarLocalPos.h"
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47 |
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48 | #include "MParList.h"
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49 |
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50 | ClassImp(MHPSFFromStars);
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51 |
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52 | using namespace std;
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53 |
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54 | // --------------------------------------------------------------------------
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55 | //
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56 | // Default Constructor.
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57 | //
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58 | MHPSFFromStars::MHPSFFromStars(Int_t starpos, const char *name, const char *title)
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59 | : fGeom(NULL), fCurr(NULL), fSelectedStarPos(starpos)
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60 | {
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61 | fName = name ? name : "MHPSFFromStars";
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62 | fTitle = title ? title : "Class to fill the Point Spread Function histograms";
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63 |
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64 | fNumEvents=0;
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65 |
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66 | fHistMeanX.SetName("MeanX");
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67 | fHistMeanX.SetTitle("Mean X of the Fit");
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68 | fHistMeanX.SetDirectory(NULL);
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69 | fHistMeanX.UseCurrentStyle();
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70 | fHistMeanX.SetXTitle("Mean X [\\circ]");
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71 | fHistMeanX.SetYTitle("Counts [#]");
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72 | fHistMeanX.SetBins(800,-2.0,2.0);
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73 |
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74 | fHistMeanY.SetName("MeanY");
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75 | fHistMeanY.SetTitle("Mean Y of the Fit");
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76 | fHistMeanY.SetDirectory(NULL);
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77 | fHistMeanY.UseCurrentStyle();
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78 | fHistMeanY.SetXTitle("Mean Y [\\circ]");
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79 | fHistMeanY.SetYTitle("Counts [#]");
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80 | fHistMeanY.SetBins(800,-2.0,2.0);
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81 |
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82 | fHistSigmaMinor.SetName("SigmaMinor");
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83 | fHistSigmaMinor.SetTitle("Sigma X of the Fit");
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84 | fHistSigmaMinor.SetDirectory(NULL);
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85 | fHistSigmaMinor.UseCurrentStyle();
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86 | fHistSigmaMinor.SetXTitle("Sigma X [\\circ]");
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87 | fHistSigmaMinor.SetYTitle("Counts [#]");
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88 | fHistSigmaMinor.SetBins(160,0,0.8);
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89 |
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90 | fHistSigmaMajor.SetName("SigmaMajor");
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91 | fHistSigmaMajor.SetTitle("Sigma Y of the Fit");
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92 | fHistSigmaMajor.SetDirectory(NULL);
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93 | fHistSigmaMajor.UseCurrentStyle();
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94 | fHistSigmaMajor.SetXTitle("Sigma Y [\\circ]");
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95 | fHistSigmaMajor.SetYTitle("Counts [#]");
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96 | fHistSigmaMajor.SetBins(160,0,0.8);
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97 |
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98 | fProjectionX.SetName("ProjetionX");
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99 | fProjectionX.SetTitle("Star projection in X axis");
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100 | fProjectionX.SetDirectory(NULL);
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101 | fProjectionX.UseCurrentStyle();
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102 | fProjectionX.SetXTitle("X [\\circ]");
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103 | fProjectionX.SetYTitle("DC [uA]");
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104 | fProjectionX.SetBins(16,-0.8,0.8);
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105 |
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106 | fProjectionY.SetName("ProjetionY");
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107 | fProjectionY.SetTitle("Star projection in Y axis");
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108 | fProjectionY.SetDirectory(NULL);
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109 | fProjectionY.UseCurrentStyle();
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110 | fProjectionY.SetXTitle("Y [\\circ]");
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111 | fProjectionY.SetYTitle("DC [uA]");
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112 | fProjectionY.SetBins(16,-0.8,0.8);
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113 |
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114 | fProfile.SetName("Profile");
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115 | fProfile.SetTitle("Star profile");
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116 | fProfile.SetDirectory(NULL);
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117 | fProfile.UseCurrentStyle();
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118 | fProfile.SetXTitle("X [\\circ]");
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119 | fProfile.SetYTitle("X [\\circ]");
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120 | fProfile.SetZTitle("DC [uA]");
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121 | fProfile.SetBins(16,-0.8,0.8,16,-0.8,0.8);
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122 |
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123 | fvsTimeMeanX.Set(0);
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124 | fvsTimeMeanY.Set(0);
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125 | fvsTimeSigmaMinor.Set(0);
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126 | fvsTimeSigmaMajor.Set(0);
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127 |
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128 | // fTime.Set(0);
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129 | fEvent.Set(0);
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130 |
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131 | }
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132 |
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133 | MHPSFFromStars::~MHPSFFromStars()
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134 | {
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135 | delete fGraphMeanX;
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136 | delete fGraphMeanY;
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137 | delete fGraphSigmaMinor;
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138 | delete fGraphSigmaMajor;
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139 | }
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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 | // TObject *MHPSFFromStars::lone(const char *) const
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145 | // {
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146 | // MHPSFFromStars *hpsf = new MHPSFFromStars();
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147 |
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148 | // return hpsf;
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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 | // Gets the pointers to:
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154 | //
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155 | Bool_t MHPSFFromStars::SetupFill(const MParList *pList)
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156 | {
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157 |
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158 | fGeom = (MGeomCam*)pList->FindObject("MGeomCam");
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159 | if (!fGeom)
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160 | {
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161 | *fLog << err << GetDescriptor()
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162 | << ": MGeomCam not found... aborting." << endl;
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163 | return kFALSE;
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164 | }
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165 |
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166 | TArrayC PixelsUsed;
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167 | PixelsUsed.Set(577);
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168 | PixelsUsed.Reset((Char_t)kTRUE);
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169 | fCamera.SetGeometry(*fGeom,"StarsDisplay","StarsDisplay");
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170 | fCamera.SetUsed(PixelsUsed);
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171 |
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172 | fCurr = (MCameraDC*)pList->FindObject(AddSerialNumber("MCameraDC"));
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173 |
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174 | if (!fCurr)
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175 | {
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176 | *fLog << err << AddSerialNumber("MCameraDC") << " not found ... aborting" << endl;
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177 | return kFALSE;
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178 | }
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179 |
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180 | return kTRUE;
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181 | }
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182 |
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183 | //--------------------------------------------------------------------------------
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184 | //
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185 | //
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186 | Bool_t MHPSFFromStars::Fill(const MParContainer *par, const Stat_t w)
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187 | {
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188 | const UInt_t numPixels = fGeom->GetNumPixels();
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189 |
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190 | MStarLocalCam* stars = (MStarLocalCam*)par;
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191 | if (!stars)
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192 | {
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193 | *fLog << err << "No argument in " << GetName() << "::Fill... abort." << endl;
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194 | return kFALSE;
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195 | }
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196 |
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197 | //
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198 | MStarLocalPos* star = SelectStar(stars);
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199 | if (star == NULL)
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200 | return kCONTINUE;
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201 |
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202 |
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203 | //Check good conditions of the fitting procedure
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204 | Float_t expectedStarXPos = star->GetMeanX();
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205 | Float_t expectedStarYPos = star->GetMeanY();
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206 |
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207 | if ( star->GetChiSquareNdof() == 0
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208 | || star->GetChiSquareNdof()>5.)
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209 | // || TMath::Sqrt(expectedStarXPos*expectedStarXPos+expectedStarYPos*expectedStarYPos)>150.)
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210 | {
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211 | *fLog << warn << "Star selected were bad reconstructed" << endl;
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212 | return kCONTINUE;
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213 | }
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214 |
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215 |
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216 |
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217 | //Fill Histograms
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218 | fHistMeanX.Fill(star->GetMeanX()*fGeom->GetConvMm2Deg());
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219 | fHistMeanY.Fill(star->GetMeanY()*fGeom->GetConvMm2Deg());
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220 | if (star->GetSigmaMinorAxis() < 0)
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221 | *fLog << err << GetName() << " Sigma of the fit " << star->GetSigmaMinorAxis() << " negative" << endl;
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222 | if (star->GetSigmaMajorAxis() < 0)
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223 | *fLog << err << GetName() << " Sigma of the fit " << star->GetSigmaMajorAxis() << " negative" << endl;
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224 | fHistSigmaMinor.Fill(star->GetSigmaMinorAxis()*fGeom->GetConvMm2Deg());
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225 | fHistSigmaMajor.Fill(star->GetSigmaMajorAxis()*fGeom->GetConvMm2Deg());
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226 |
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227 | fCamera.AddCamContent(*fCurr);
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228 |
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229 | //Selected star X(andY) projections
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230 | Float_t ringofinterest = 4*(star->GetSigmaMajorAxis()>star->GetSigmaMinorAxis()?star->GetSigmaMajorAxis():star->GetSigmaMinorAxis());
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231 |
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232 | // First define a area of interest around the expected position of the star
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233 | for (UInt_t pix=1; pix<numPixels; pix++)
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234 | {
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235 | Float_t pixelXCenter = (*fGeom)[pix].GetX();
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236 | Float_t pixelYCenter = (*fGeom)[pix].GetY();
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237 | Float_t dist = TMath::Sqrt((pixelXCenter-expectedStarXPos)*(pixelXCenter-expectedStarXPos)+
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238 | (pixelYCenter-expectedStarYPos)*(pixelYCenter-expectedStarYPos));
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239 |
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240 | if ((dist < ringofinterest))
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241 | {
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242 | fProjectionX.Fill((pixelXCenter-expectedStarXPos)*fGeom->GetConvMm2Deg(), (*fCurr)[pix]);
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243 | fProjectionY.Fill((pixelYCenter-expectedStarYPos)*fGeom->GetConvMm2Deg(), (*fCurr)[pix]);
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244 | //FIXME fProfile.Fill((pixelXCenter-expectedStarXPos)*fGeom->GetConvMm2Deg(),(pixelYCenter-expectedStarYPos)*fGeom->GetConvMm2Deg(), (*fCurr)[pix]);
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245 | }
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246 | }
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247 |
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248 |
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249 | //
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250 | fvsTimeMeanX.Set(fNumEvents+1);
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251 | fvsTimeMeanY.Set(fNumEvents+1);
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252 | fvsTimeSigmaMinor.Set(fNumEvents+1);
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253 | fvsTimeSigmaMajor.Set(fNumEvents+1);
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254 |
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255 | // fTime.Set(fNumEvents+1);
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256 | fEvent.Set(fNumEvents+1);
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257 |
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258 | fvsTimeMeanX[fNumEvents] = star->GetMeanX()*fGeom->GetConvMm2Deg();
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259 | fvsTimeMeanY[fNumEvents] = star->GetMeanY()*fGeom->GetConvMm2Deg();
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260 | fvsTimeSigmaMinor[fNumEvents] = star->GetSigmaMinorAxis()*fGeom->GetConvMm2Deg();
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261 | fvsTimeSigmaMajor[fNumEvents] = star->GetSigmaMajorAxis()*fGeom->GetConvMm2Deg();
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262 |
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263 | // fTime[fNumEvents] = ?;
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264 | fEvent[fNumEvents] = fNumEvents;
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265 |
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266 | fNumEvents++;
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267 |
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268 | // fGraphMeanX.SetPoint(fNumEvents,fNumEvents,star->GetMeanX()*fGeom->GetConvMm2Deg());
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269 | // fGraphMeanY.SetPoint(fNumEvents,fNumEvents,star->GetMeanY()*fGeom->GetConvMm2Deg());
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270 | // fGraphSigmaMinor.SetPoint(fNumEvents,fNumEvents,star->GetSigmaMinorAxis()*fGeom->GetConvMm2Deg());
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271 | // fGraphSigmaMajor.SetPoint(fNumEvents,fNumEvents,star->GetSigmaMajorAxis()*fGeom->GetConvMm2Deg());
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272 |
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273 | return kTRUE;
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274 | }
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275 |
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276 | // --------------------------------------------------------------------------
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277 | //
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278 | //
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279 | Bool_t MHPSFFromStars::Finalize()
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280 | {
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281 | *fLog << inf << GetName() << " Statistics: " << fNumEvents << " events" << endl;
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282 | //Fit the profile plot with a gaussian(+baseline)
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283 |
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284 | return kTRUE;
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285 | }
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286 |
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287 | MStarLocalPos* MHPSFFromStars::SelectStar(MStarLocalCam* stars)
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288 | {
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289 | TIter Next(stars->GetList());
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290 | MStarLocalPos* star = NULL;
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291 | MStarLocalPos* selectedStar = NULL;
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292 |
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293 | Float_t dist;
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294 |
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295 | if (fSelectedStarPos >= 0)
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296 | for (Int_t i=0; i<=fSelectedStarPos; i++)
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297 | star = (MStarLocalPos*)Next();
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298 | else //Look for the closer star to the center
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299 | {
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300 | Float_t mindist = 600; //mm
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301 | while ((star=(MStarLocalPos*)Next()))
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302 | {
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303 | dist = TMath::Sqrt(star->GetMeanX()*star->GetMeanX() +
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304 | star->GetMeanY()*star->GetMeanY());
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305 | if (dist < mindist)
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306 | {
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307 | selectedStar = star;
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308 | mindist = dist;
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309 | }
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310 | }
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311 |
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312 | star = selectedStar;
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313 | if (star == NULL)
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314 | *fLog << warn << "Not found star closer to center" << endl;
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315 |
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316 | }
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317 |
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318 | return star;
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319 | }
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320 |
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321 | static Double_t fitfunc(Double_t *x, Double_t *par)
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322 | {
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323 | Double_t fitval =
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324 | par[0] + par[1]*TMath::Exp(-0.5*(x[0]-par[2])*(x[0]-par[2])/(par[3]*par[3]));
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325 |
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326 | return fitval;
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327 | }
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328 |
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329 | // -----------------------------------------------------------------------------
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330 | //
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331 | // Default draw:
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332 | //
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333 | //
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334 | void MHPSFFromStars::Draw(const Option_t *opt)
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335 | {
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336 |
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337 | TString option(opt);
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338 | option.ToLower();
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339 |
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340 | TVirtualPad *pad = gPad ? gPad : MH::MakeDefCanvas(this);
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341 | pad->SetBorderMode(0);
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342 |
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343 | if (fNumEvents==0)
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344 | {
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345 | *fLog << err << GetName() << " no entries to be drawn" << endl;
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346 | return;
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347 | }
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348 |
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349 |
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350 |
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351 | if (option.Contains("mean"))
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352 | {
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353 | fGraphMeanX = new TGraph((Int_t)fNumEvents,fEvent.GetArray(),fvsTimeMeanX.GetArray());
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354 | fGraphMeanX->SetName("GraphMeanX");
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355 | fGraphMeanX->SetTitle("Star X position v.s. event ");
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356 | fGraphMeanX->UseCurrentStyle();
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357 | fGraphMeanX->GetXaxis()->SetTitle("Event [#]");
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358 | fGraphMeanX->GetYaxis()->SetTitle("X [\\circ]");
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359 |
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360 | fGraphMeanY = new TGraph((Int_t)fNumEvents,fEvent.GetArray(),fvsTimeMeanY.GetArray());
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361 | fGraphMeanY->SetName("GraphMeanY");
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362 | fGraphMeanY->SetTitle("Star Y position v.s. event ");
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363 | fGraphMeanY->UseCurrentStyle();
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364 | fGraphMeanY->GetXaxis()->SetTitle("Event [#]");
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365 | fGraphMeanY->GetYaxis()->SetTitle("Y [\\circ]");
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366 |
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367 | pad->Divide(2,2);
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368 |
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369 | pad->cd(1);
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370 | fHistMeanX.DrawClone();
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371 | pad->cd(2);
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372 | fHistMeanY.DrawClone();
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373 | pad->cd(3);
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374 | fGraphMeanX->SetMarkerStyle(20);
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375 | fGraphMeanX->SetMarkerSize(0.4);
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376 | fGraphMeanX->Draw("AP");
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377 | pad->cd(4);
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378 | fGraphMeanY->SetMarkerStyle(20);
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379 | fGraphMeanY->SetMarkerSize(0.4);
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380 | fGraphMeanY->Draw("AP");
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381 | }
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382 | else if (option.Contains("sig"))
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383 | {
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384 |
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385 | fGraphSigmaMinor = new TGraph((Int_t)fNumEvents,fEvent.GetArray(),fvsTimeSigmaMinor.GetArray());
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386 | fGraphSigmaMinor->SetName("GraphSigmaMinor");
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387 | fGraphSigmaMinor->SetTitle("Star X sigma v.s. event ");
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388 | fGraphSigmaMinor->UseCurrentStyle();
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389 | fGraphSigmaMinor->GetXaxis()->SetTitle("Event [#]");
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390 | fGraphSigmaMinor->GetYaxis()->SetTitle("Sigma X [\\circ]");
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391 |
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392 | fGraphSigmaMajor = new TGraph((Int_t)fNumEvents,fEvent.GetArray(),fvsTimeSigmaMajor.GetArray());
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393 | fGraphSigmaMajor->SetName("GraphSigmaMajor");
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394 | fGraphSigmaMajor->SetTitle("Star Y sigma v.s. event ");
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395 | fGraphSigmaMajor->UseCurrentStyle();
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396 | fGraphSigmaMajor->GetXaxis()->SetTitle("Event [#]");
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397 | fGraphSigmaMajor->GetYaxis()->SetTitle("Sigma Y [\\circ]");
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398 |
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399 | pad->Divide(2,2);
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400 |
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401 | pad->cd(1);
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402 | fHistSigmaMinor.DrawClone();
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403 | pad->cd(2);
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404 | fHistSigmaMajor.DrawClone();
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405 | pad->cd(3);
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406 | fGraphSigmaMinor->SetMarkerStyle(21);
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407 | fGraphSigmaMinor->SetMarkerSize(0.4);
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408 | // fGraphSigmaMinor->SetMarkerColor(kBlue);
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409 | fGraphSigmaMinor->Draw("AP");
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410 | fGraphSigmaMajor->SetMarkerStyle(21);
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411 | fGraphSigmaMajor->SetMarkerSize(0.4);
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412 | pad->cd(4);
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413 | fGraphSigmaMajor->Draw("AP");
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414 | }
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415 | else if (option.Contains("proj"))
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416 | {
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417 | pad->Divide(2,1);
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418 |
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419 | pad->cd(1);
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420 | // Creates a Root function based on function fitf above
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421 | TF1 *funcX = new TF1("fitfuncX",fitfunc,-0.4,0.4,4);
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422 |
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423 | Float_t sigguess = fHistSigmaMinor.GetMean();
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424 | Float_t max = fProjectionX.GetMaximum();
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425 | // Sets initial values and parameter names
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426 | funcX->SetParNames("base","Max","Mean","Sigma");
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427 | funcX->SetParameters(1.,max,0.,sigguess);
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428 |
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429 | // Fit histogram in range defined by function
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430 | fProjectionX.Fit("fitfuncX","QR");
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431 | // fProjectionX.DrawClone();
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432 |
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433 | pad->cd(2);
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434 | TF1 *funcY = new TF1("fitfuncY",fitfunc,-0.4,0.4,4);
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435 |
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436 | sigguess = fHistSigmaMajor.GetMean();
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437 | max = fProjectionY.GetMaximum();
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438 | // Sets initial values and parameter names
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439 | funcY->SetParNames("base","Max","Mean","Sigma");
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440 | funcY->SetParameters(1.,max,0.,sigguess);
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441 |
|
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442 | // Fit histogram in range defined by function
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443 | fProjectionY.Fit("fitfuncX","QR");
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444 | fProjectionY.DrawClone();
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445 | }
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446 | // else if (option.Contains("prof"))
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447 | // {
|
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448 | // fProfile.DrawClone();
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449 | // }
|
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450 | else if (option.Contains("cam"))
|
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451 | {
|
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452 | pad->cd(1);
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453 |
|
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454 | TArrayF x(fNumEvents);
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455 | TArrayF y(fNumEvents);
|
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456 | for (UInt_t i=0; i<fNumEvents; i++)
|
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457 | {
|
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458 | x[i] = fvsTimeMeanX[i]/fGeom->GetConvMm2Deg();
|
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459 | y[i] = fvsTimeMeanY[i]/fGeom->GetConvMm2Deg();
|
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460 | }
|
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461 |
|
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462 | fGraphPath = new TGraph((Int_t)fNumEvents,x.GetArray(),y.GetArray());
|
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463 | fGraphPath->SetName("GraphPath");
|
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464 | fGraphPath->UseCurrentStyle();
|
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465 |
|
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466 | fCamera.DrawClone();
|
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467 | fCamera.SetPrettyPalette();
|
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468 | fGraphPath->Draw("P");
|
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469 | fGraphPath->SetMarkerStyle(21);
|
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470 | fGraphPath->SetMarkerSize(0.4);
|
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471 | }
|
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472 | else
|
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473 | *fLog << err << GetName() << "::Draw Uknown option " << option << endl;
|
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474 |
|
---|
475 | }
|
---|
476 |
|
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