1 | // ----------------------------------------------------------------------- |
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2 | // outputSpectra.cc: Print the spectra of the detected objects. |
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3 | // ----------------------------------------------------------------------- |
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4 | // Copyright (C) 2006, Matthew Whiting, ATNF |
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5 | // |
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6 | // This program is free software; you can redistribute it and/or modify it |
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7 | // under the terms of the GNU General Public License as published by the |
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8 | // Free Software Foundation; either version 2 of the License, or (at your |
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9 | // option) any later version. |
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10 | // |
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11 | // Duchamp is distributed in the hope that it will be useful, but WITHOUT |
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12 | // ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or |
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13 | // FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License |
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14 | // for more details. |
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15 | // |
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16 | // You should have received a copy of the GNU General Public License |
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17 | // along with Duchamp; if not, write to the Free Software Foundation, |
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18 | // Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA |
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19 | // |
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20 | // Correspondence concerning Duchamp may be directed to: |
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21 | // Internet email: Matthew.Whiting [at] atnf.csiro.au |
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22 | // Postal address: Dr. Matthew Whiting |
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23 | // Australia Telescope National Facility, CSIRO |
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24 | // PO Box 76 |
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25 | // Epping NSW 1710 |
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26 | // AUSTRALIA |
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27 | // ----------------------------------------------------------------------- |
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28 | #include <iostream> |
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29 | #include <fstream> |
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30 | #include <iomanip> |
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31 | #include <sstream> |
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32 | #include <string> |
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33 | #include <cpgplot.h> |
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34 | #include <math.h> |
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35 | #include <wcslib/wcs.h> |
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36 | #include <duchamp/param.hh> |
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37 | #include <duchamp/duchamp.hh> |
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38 | #include <duchamp/fitsHeader.hh> |
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39 | #include <duchamp/PixelMap/Object3D.hh> |
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40 | #include <duchamp/Cubes/cubes.hh> |
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41 | #include <duchamp/Cubes/plots.hh> |
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42 | #include <duchamp/Utils/utils.hh> |
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43 | #include <duchamp/Utils/mycpgplot.hh> |
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44 | |
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45 | using namespace mycpgplot; |
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46 | using namespace PixelInfo; |
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47 | |
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48 | namespace duchamp |
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49 | { |
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50 | |
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51 | void getSmallVelRange(Detection &obj, FitsHeader head, float *minvel, float *maxvel); |
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52 | void getSmallZRange(Detection &obj, float *minz, float *maxz); |
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53 | |
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54 | void Cube::outputSpectra() |
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55 | { |
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56 | /** |
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57 | * The way to display individual detected objects. The standard way |
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58 | * is plot the full spectrum, plus a zoomed-in spectrum showing just |
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59 | * the object, plus the 0th-moment map. If there is no spectral |
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60 | * axis, just the 0th moment map is plotted (using |
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61 | * Cube::plotSource() rather than Cube::plotSpectrum()). |
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62 | * |
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63 | * It makes use of the SpectralPlot or CutoutPlot classes from |
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64 | * plots.h, which size everything correctly. |
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65 | * |
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66 | * The main choice for SpectralPlot() is whether to use the peak |
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67 | * pixel, in which case the spectrum is just that of the peak pixel, |
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68 | * or the sum, where the spectrum is summed over all spatial pixels |
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69 | * that are in the object. If a reconstruction has been done, that |
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70 | * spectrum is plotted in red. The limits of the detection are |
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71 | * marked in blue. A 0th moment map of the detection is also |
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72 | * plotted, with a scale bar indicating the spatial scale. |
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73 | */ |
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74 | |
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75 | if(this->fullCols.size()==0) this->setupColumns(); |
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76 | // in case cols haven't been set -- need the precisions for printing values. |
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77 | |
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78 | std::string spectrafile = this->par.getSpectraFile() + "/vcps"; |
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79 | if(this->getDimZ()<=1){ |
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80 | Plot::CutoutPlot newplot; |
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81 | if(newplot.setUpPlot(spectrafile.c_str())>0) { |
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82 | |
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83 | for(int nobj=0;nobj<this->objectList->size();nobj++){ |
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84 | // for each object in the cube: |
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85 | this->plotSource(this->objectList->at(nobj),newplot); |
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86 | |
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87 | }// end of loop over objects. |
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88 | |
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89 | cpgclos(); |
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90 | } |
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91 | } |
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92 | else{ |
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93 | Plot::SpectralPlot newplot; |
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94 | if(newplot.setUpPlot(spectrafile.c_str())>0) { |
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95 | |
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96 | for(int nobj=0;nobj<this->objectList->size();nobj++){ |
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97 | // for each object in the cube: |
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98 | this->plotSpectrum(nobj,newplot); |
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99 | |
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100 | }// end of loop over objects. |
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101 | |
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102 | cpgclos(); |
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103 | } |
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104 | |
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105 | if(this->par.getFlagTextSpectra()){ |
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106 | if(this->par.isVerbose()) std::cout << "Saving spectra in text file ... "; |
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107 | this->writeSpectralData(); |
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108 | if(this->par.isVerbose()) std::cout << "Done. "; |
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109 | } |
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110 | } |
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111 | } |
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112 | //-------------------------------------------------------------------- |
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113 | |
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114 | void Cube::writeSpectralData() |
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115 | { |
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116 | /** |
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117 | * A function to write, in ascii form, the spectra of each |
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118 | * detected object to a file. The file consists of a column for |
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119 | * the spectral coordinates, and one column for each object |
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120 | * showing the flux at that spectral position. The units are the |
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121 | * same as those shown in the graphical output. The filename is |
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122 | * given by the Param::spectraTextFile parameter in the Cube::par |
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123 | * parameter set. |
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124 | */ |
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125 | |
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126 | const int zdim = this->axisDim[2]; |
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127 | const int numObj = this->objectList->size(); |
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128 | float *specxOut = new float[zdim]; |
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129 | float *spectra = new float[numObj*zdim]; |
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130 | |
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131 | for(int obj=0; obj<numObj; obj++){ |
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132 | float *temp = new float[zdim]; |
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133 | float *specx = new float[zdim]; |
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134 | float *recon = new float[zdim]; |
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135 | float *base = new float[zdim]; |
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136 | getSpectralArrays(obj, specx, temp, recon, base); |
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137 | for(int z=0;z<zdim;z++) spectra[obj*zdim+z] = temp[z]; |
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138 | if(obj==0) for(int z=0;z<zdim;z++) specxOut[z] = specx[z]; |
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139 | delete [] specx; |
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140 | delete [] recon; |
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141 | delete [] base; |
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142 | delete [] temp; |
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143 | } |
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144 | |
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145 | std::ofstream fspec(this->par.getSpectraTextFile().c_str()); |
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146 | fspec.setf(std::ios::fixed); |
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147 | |
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148 | for(int z=0;z<zdim;z++){ |
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149 | |
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150 | fspec << std::setprecision(8); |
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151 | fspec << specxOut[z] << " "; |
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152 | for(int obj=0;obj<numObj; obj++) { |
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153 | fspec << spectra[obj*zdim+z] << " "; |
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154 | } |
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155 | fspec << "\n"; |
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156 | |
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157 | } |
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158 | fspec.close(); |
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159 | |
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160 | delete [] spectra; |
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161 | delete [] specxOut; |
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162 | |
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163 | } |
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164 | //-------------------------------------------------------------------- |
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165 | |
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166 | void Cube::getSpectralArrays(int objNum, float *specx, float *specy, |
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167 | float *specRecon, float *specBase) |
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168 | { |
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169 | /** |
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170 | * A utility function that goes and calculates, for a given |
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171 | * Detection, the spectral arrays, according to whether we want |
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172 | * the peak or integrated flux. The arrays can be used by |
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173 | * Cube::plotSpectrum() and Cube::writeSpectralData(). The arrays |
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174 | * calculated are listed below. Their length is given by the |
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175 | * length of the Cube's spectral dimension. |
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176 | * |
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177 | * Note that 'new' is used to allocate the array space, so the |
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178 | * array parameters need to be suitably defined |
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179 | * |
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180 | * \param objNum The number of the object under consideration |
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181 | * \param specx The array of frequency/velocity/channel/etc |
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182 | * values (the x-axis on the spectral plot). |
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183 | * \param specy The array of flux values, matching the specx |
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184 | * array. |
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185 | * \param specRecon The reconstructed or smoothed array, done in |
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186 | * the same way as specy. |
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187 | * \param specBase The fitted baseline values, done in the same |
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188 | * way as specy. |
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189 | */ |
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190 | |
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191 | long xdim = this->axisDim[0]; |
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192 | long ydim = this->axisDim[1]; |
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193 | long zdim = this->axisDim[2]; |
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194 | |
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195 | for(int i=0;i<zdim;i++) specy[i] = 0.; |
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196 | for(int i=0;i<zdim;i++) specRecon[i] = 0.; |
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197 | for(int i=0;i<zdim;i++) specBase[i] = 0.; |
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198 | |
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199 | if(this->head.isWCS()){ |
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200 | double xval = double(this->objectList->at(objNum).getXcentre()); |
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201 | double yval = double(this->objectList->at(objNum).getYcentre()); |
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202 | for(double zval=0;zval<zdim;zval++) |
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203 | specx[int(zval)] = this->head.pixToVel(xval,yval,zval); |
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204 | } |
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205 | else |
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206 | for(double zval=0;zval<zdim;zval++) specx[int(zval)] = zval; |
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207 | |
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208 | float beamCorrection; |
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209 | if(this->header().needBeamSize()) |
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210 | beamCorrection = this->par.getBeamSize(); |
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211 | else beamCorrection = 1.; |
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212 | |
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213 | if(this->par.getSpectralMethod()=="sum"){ |
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214 | bool *done = new bool[xdim*ydim]; |
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215 | for(int i=0;i<xdim*ydim;i++) done[i]=false; |
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216 | std::vector<Voxel> voxlist = this->objectList->at(objNum).pixels().getPixelSet(); |
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217 | for(int pix=0;pix<voxlist.size();pix++){ |
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218 | int pos = voxlist[pix].getX() + xdim * voxlist[pix].getY(); |
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219 | if(!done[pos]){ |
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220 | done[pos] = true; |
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221 | for(int z=0;z<zdim;z++){ |
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222 | if(!(this->isBlank(pos+z*xdim*ydim))){ |
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223 | specy[z] += this->array[pos + z*xdim*ydim] / beamCorrection; |
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224 | if(this->reconExists) |
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225 | specRecon[z] += this->recon[pos + z*xdim*ydim] / beamCorrection; |
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226 | if(this->par.getFlagBaseline()) |
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227 | specBase[z] += this->baseline[pos + z*xdim*ydim] / beamCorrection; |
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228 | } |
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229 | } |
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230 | } |
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231 | } |
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232 | delete [] done; |
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233 | } |
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234 | else {// if(par.getSpectralMethod()=="peak"){ |
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235 | int pos = this->objectList->at(objNum).getXPeak() + |
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236 | xdim*this->objectList->at(objNum).getYPeak(); |
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237 | for(int z=0;z<zdim;z++){ |
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238 | specy[z] = this->array[pos + z*xdim*ydim]; |
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239 | if(this->reconExists) |
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240 | specRecon[z] = this->recon[pos + z*xdim*ydim]; |
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241 | if(this->par.getFlagBaseline()) |
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242 | specBase[z] = this->baseline[pos + z*xdim*ydim]; |
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243 | } |
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244 | } |
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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 | void Cube::plotSpectrum(int objNum, Plot::SpectralPlot &plot) |
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250 | { |
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251 | /** |
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252 | * The way to print out the spectrum of a Detection. |
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253 | * Makes use of the SpectralPlot class in plots.hh, which sizes |
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254 | * everything correctly. |
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255 | * |
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256 | * The main choice for the user is whether to use the peak pixel, in |
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257 | * which case the spectrum is just that of the peak pixel, or the |
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258 | * sum, where the spectrum is summed over all spatial pixels that |
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259 | * are in the object. |
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260 | * |
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261 | * If a reconstruction has been done, that spectrum is plotted in |
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262 | * red, and if a baseline has been calculated that is also shown, in |
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263 | * yellow. The spectral limits of the detection are marked in blue. |
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264 | * A 0th moment map of the detection is also plotted, with a scale |
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265 | * bar indicating the spatial size. |
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266 | * |
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267 | * \param objNum The number of the Detection to be plotted. |
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268 | * \param plot The SpectralPlot object defining the PGPLOT device |
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269 | * to plot the spectrum on. |
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270 | */ |
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271 | |
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272 | long zdim = this->axisDim[2]; |
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273 | |
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274 | this->objectList->at(objNum).calcFluxes(this->array, this->axisDim); |
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275 | |
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276 | double minMWvel,maxMWvel,xval,yval,zval; |
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277 | xval = double(this->objectList->at(objNum).getXcentre()); |
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278 | yval = double(this->objectList->at(objNum).getYcentre()); |
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279 | if(this->par.getFlagMW()){ |
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280 | zval = double(this->par.getMinMW()); |
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281 | minMWvel = this->head.pixToVel(xval,yval,zval); |
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282 | zval = double(this->par.getMaxMW()); |
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283 | maxMWvel = this->head.pixToVel(xval,yval,zval); |
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284 | } |
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285 | |
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286 | float *specx = new float[zdim]; |
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287 | float *specy = new float[zdim]; |
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288 | float *specy2 = new float[zdim]; |
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289 | float *base = new float[zdim]; |
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290 | |
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291 | this->getSpectralArrays(objNum,specx,specy,specy2,base); |
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292 | |
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293 | std::string fluxLabel = "Flux"; |
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294 | std::string fluxUnits = this->head.getFluxUnits(); |
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295 | std::string intFluxUnits;// = this->head.getIntFluxUnits(); |
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296 | // Rather than use the intFluxUnits from the header, which will be like Jy MHz, |
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297 | // we just use the pixel units, removing the /beam if necessary. |
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298 | if(makelower(fluxUnits.substr(fluxUnits.size()-5, |
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299 | fluxUnits.size() )) == "/beam"){ |
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300 | intFluxUnits = fluxUnits.substr(0,fluxUnits.size()-5); |
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301 | } |
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302 | else intFluxUnits = fluxUnits; |
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303 | |
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304 | |
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305 | if(this->par.getSpectralMethod()=="sum"){ |
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306 | fluxLabel = "Integrated " + fluxLabel; |
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307 | if(this->head.isWCS()) { |
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308 | fluxLabel += " ["+intFluxUnits+"]"; |
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309 | } |
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310 | } |
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311 | else {// if(par.getSpectralMethod()=="peak"){ |
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312 | fluxLabel = "Peak " + fluxLabel; |
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313 | if(this->head.isWCS()) fluxLabel += " ["+fluxUnits+"]"; |
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314 | } |
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315 | |
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316 | float vmax,vmin,width; |
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317 | vmax = vmin = specx[0]; |
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318 | for(int i=1;i<zdim;i++){ |
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319 | if(specx[i]>vmax) vmax=specx[i]; |
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320 | if(specx[i]<vmin) vmin=specx[i]; |
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321 | } |
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322 | |
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323 | float max,min; |
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324 | int loc=0; |
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325 | if(this->par.getMinMW()>0) max = min = specy[0]; |
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326 | else max = min = specx[this->par.getMaxMW()+1]; |
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327 | for(int i=0;i<zdim;i++){ |
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328 | if(!this->par.isInMW(i)){ |
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329 | if(specy[i]>max) max=specy[i]; |
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330 | if(specy[i]<min){ |
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331 | min=specy[i]; |
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332 | loc = i; |
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333 | } |
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334 | } |
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335 | } |
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336 | // widen the ranges slightly so that the top & bottom & edges don't |
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337 | // lie on the axes. |
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338 | width = max - min; |
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339 | max += width * 0.05; |
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340 | min -= width * 0.05; |
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341 | width = vmax -vmin; |
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342 | vmax += width * 0.01; |
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343 | vmin -= width * 0.01; |
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344 | |
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345 | // now plot the resulting spectrum |
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346 | std::string label; |
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347 | if(this->head.isWCS()){ |
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348 | label = this->head.getSpectralDescription() + " [" + |
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349 | this->head.getSpectralUnits() + "]"; |
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350 | plot.gotoHeader(label); |
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351 | } |
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352 | else plot.gotoHeader("Spectral pixel value"); |
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353 | |
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354 | if(this->head.isWCS()){ |
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355 | label = this->objectList->at(objNum).outputLabelWCS(); |
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356 | plot.firstHeaderLine(label); |
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357 | label = this->objectList->at(objNum).outputLabelFluxes(); |
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358 | plot.secondHeaderLine(label); |
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359 | } |
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360 | label = this->objectList->at(objNum).outputLabelWidths(); |
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361 | plot.thirdHeaderLine(label); |
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362 | label = this->objectList->at(objNum).outputLabelPix(); |
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363 | plot.fourthHeaderLine(label); |
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364 | |
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365 | plot.gotoMainSpectrum(vmin,vmax,min,max,fluxLabel); |
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366 | cpgline(zdim,specx,specy); |
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367 | if(this->par.getFlagBaseline()){ |
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368 | cpgsci(DUCHAMP_BASELINE_SPECTRA_COLOUR); |
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369 | cpgline(zdim,specx,base); |
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370 | cpgsci(FOREGND); |
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371 | } |
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372 | if(this->reconExists){ |
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373 | cpgsci(DUCHAMP_RECON_SPECTRA_COLOUR); |
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374 | cpgline(zdim,specx,specy2); |
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375 | cpgsci(FOREGND); |
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376 | } |
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377 | if(this->par.getFlagMW()) plot.drawMWRange(minMWvel,maxMWvel); |
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378 | if(this->head.isWCS()) plot.drawVelRange(this->objectList->at(objNum).getVelMin(),this->objectList->at(objNum).getVelMax()); |
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379 | else plot.drawVelRange(this->objectList->at(objNum).getZmin(),this->objectList->at(objNum).getZmax()); |
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380 | |
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381 | /**************************/ |
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382 | // ZOOM IN SPECTRALLY ON THE DETECTION. |
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383 | |
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384 | float minvel,maxvel; |
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385 | if(this->head.isWCS()) getSmallVelRange(this->objectList->at(objNum),this->head,&minvel,&maxvel); |
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386 | else getSmallZRange(this->objectList->at(objNum),&minvel,&maxvel); |
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387 | |
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388 | // Find new max & min flux values |
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389 | std::swap(max,min); |
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390 | int ct = 0; |
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391 | for(int i=0;i<zdim;i++){ |
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392 | if((!this->par.isInMW(i))&&(specx[i]>=minvel)&&(specx[i]<=maxvel)){ |
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393 | ct++; |
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394 | if(specy[i]>max) max=specy[i]; |
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395 | if(specy[i]<min) min=specy[i]; |
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396 | } |
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397 | } |
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398 | // widen the flux range slightly so that the top & bottom don't lie |
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399 | // on the axes. |
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400 | width = max - min; |
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401 | max += width * 0.05; |
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402 | min -= width * 0.05; |
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403 | |
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404 | plot.gotoZoomSpectrum(minvel,maxvel,min,max); |
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405 | cpgline(zdim,specx,specy); |
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406 | if(this->par.getFlagBaseline()){ |
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407 | cpgsci(DUCHAMP_BASELINE_SPECTRA_COLOUR); |
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408 | cpgline(zdim,specx,base); |
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409 | cpgsci(FOREGND); |
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410 | } |
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411 | if(this->reconExists){ |
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412 | cpgsci(DUCHAMP_RECON_SPECTRA_COLOUR); |
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413 | cpgline(zdim,specx,specy2); |
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414 | cpgsci(FOREGND); |
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415 | } |
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416 | if(this->par.getFlagMW()) plot.drawMWRange(minMWvel,maxMWvel); |
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417 | if(this->head.isWCS()) plot.drawVelRange(this->objectList->at(objNum).getVelMin(), |
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418 | this->objectList->at(objNum).getVelMax()); |
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419 | else plot.drawVelRange(this->objectList->at(objNum).getZmin(),this->objectList->at(objNum).getZmax()); |
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420 | |
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421 | /**************************/ |
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422 | |
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423 | // DRAW THE MOMENT MAP OF THE DETECTION -- SUMMED OVER ALL CHANNELS |
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424 | plot.gotoMap(); |
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425 | this->drawMomentCutout(this->objectList->at(objNum)); |
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426 | |
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427 | delete [] specx; |
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428 | delete [] specy; |
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429 | delete [] specy2; |
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430 | delete [] base; |
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431 | |
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432 | } |
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433 | //-------------------------------------------------------------------- |
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434 | |
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435 | void getSmallVelRange(Detection &obj, FitsHeader head, |
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436 | float *minvel, float *maxvel) |
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437 | { |
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438 | /** |
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439 | * Routine to calculate the velocity range for the zoomed-in region. |
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440 | * This range should be the maximum of 20 pixels, or 3x the wdith of |
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441 | * the detection. |
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442 | * Need to : |
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443 | * Calculate pixel width of a 3x-detection-width region. |
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444 | * If smaller than 20, calculate velocities of central vel +- 10 pixels |
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445 | * If not, use the 3x-detection-width |
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446 | * Range returned via "minvel" and "maxvel" parameters. |
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447 | * \param obj Detection under examination. |
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448 | * \param head FitsHeader, containing the WCS information. |
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449 | * \param minvel Returned value of minimum velocity |
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450 | * \param maxvel Returned value of maximum velocity |
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451 | */ |
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452 | |
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453 | double *pixcrd = new double[3]; |
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454 | double *world = new double[3]; |
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455 | float minpix,maxpix; |
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456 | // define new velocity extrema |
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457 | // -- make it 3x wider than the width of the detection. |
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458 | *minvel = 0.5*(obj.getVelMin()+obj.getVelMax()) - 1.5*obj.getVelWidth(); |
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459 | *maxvel = 0.5*(obj.getVelMin()+obj.getVelMax()) + 1.5*obj.getVelWidth(); |
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460 | // Find velocity range in number of pixels: |
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461 | world[0] = obj.getRA(); |
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462 | world[1] = obj.getDec(); |
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463 | world[2] = head.velToSpec(*minvel); |
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464 | head.wcsToPix(world,pixcrd); |
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465 | minpix = pixcrd[2]; |
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466 | world[2] = head.velToSpec(*maxvel); |
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467 | head.wcsToPix(world,pixcrd); |
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468 | maxpix = pixcrd[2]; |
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469 | if(maxpix<minpix) std::swap(maxpix,minpix); |
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470 | |
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471 | if((maxpix - minpix + 1) < 20){ |
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472 | pixcrd[0] = double(obj.getXcentre()); |
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473 | pixcrd[1] = double(obj.getYcentre()); |
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474 | pixcrd[2] = obj.getZcentre() - 10.; |
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475 | head.pixToWCS(pixcrd,world); |
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476 | // *minvel = setVel_kms(wcs,world[2]); |
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477 | *minvel = head.specToVel(world[2]); |
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478 | pixcrd[2] = obj.getZcentre() + 10.; |
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479 | head.pixToWCS(pixcrd,world); |
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480 | // *maxvel = setVel_kms(wcs,world[2]); |
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481 | *maxvel = head.specToVel(world[2]); |
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482 | if(*maxvel<*minvel) std::swap(*maxvel,*minvel); |
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483 | } |
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484 | delete [] pixcrd; |
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485 | delete [] world; |
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486 | |
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487 | } |
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488 | //-------------------------------------------------------------------- |
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489 | |
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490 | void getSmallZRange(Detection &obj, float *minz, float *maxz) |
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491 | { |
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492 | /** |
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493 | * Routine to calculate the pixel range for the zoomed-in spectrum. |
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494 | * This range should be the maximum of 20 pixels, or 3x the width |
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495 | * of the detection. |
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496 | * Need to : |
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497 | * Calculate pixel width of a 3x-detection-width region. |
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498 | * If smaller than 20, use central pixel +- 10 pixels |
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499 | * Range returned via "minz" and "maxz" parameters. |
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500 | * \param obj Detection under examination. |
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501 | * \param minz Returned value of minimum z-pixel coordinate |
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502 | * \param maxz Returned value of maximum z-pixel coordinate |
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503 | */ |
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504 | |
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505 | *minz = 2.*obj.getZmin() - obj.getZmax(); |
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506 | *maxz = 2.*obj.getZmax() - obj.getZmin(); |
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507 | |
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508 | if((*maxz - *minz + 1) < 20){ |
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509 | *minz = obj.getZcentre() - 10.; |
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510 | *maxz = obj.getZcentre() + 10.; |
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511 | } |
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512 | |
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513 | } |
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514 | //-------------------------------------------------------------------- |
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515 | |
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516 | void Cube::plotSource(Detection obj, Plot::CutoutPlot &plot) |
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517 | { |
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518 | /** |
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519 | * The way to print out the 2d image cutout of a Detection. |
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520 | * Makes use of the CutoutPlot class in plots.hh, which sizes |
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521 | * everything correctly. |
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522 | * |
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523 | * A 0th moment map of the detection is plotted, with a scale |
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524 | * bar indicating the spatial size. |
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525 | * |
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526 | * Basic information on the source is printed next to it as well. |
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527 | * |
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528 | * \param obj The Detection to be plotted. |
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529 | * \param plot The PGPLOT device to plot the spectrum on. |
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530 | */ |
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531 | |
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532 | obj.calcFluxes(this->array, this->axisDim); |
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533 | |
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534 | std::string label; |
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535 | plot.gotoHeader(); |
---|
536 | |
---|
537 | if(this->head.isWCS()){ |
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538 | label = obj.outputLabelWCS(); |
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539 | plot.firstHeaderLine(label); |
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540 | label = obj.outputLabelFluxes(); |
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541 | plot.secondHeaderLine(label); |
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542 | } |
---|
543 | label = obj.outputLabelWidths(); |
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544 | plot.thirdHeaderLine(label); |
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545 | label = obj.outputLabelPix(); |
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546 | plot.fourthHeaderLine(label); |
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547 | |
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548 | // DRAW THE MOMENT MAP OF THE DETECTION -- SUMMED OVER ALL CHANNELS |
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549 | plot.gotoMap(); |
---|
550 | this->drawMomentCutout(obj); |
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551 | |
---|
552 | } |
---|
553 | |
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554 | } |
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