1 | #include <iostream> |
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2 | #include <iomanip> |
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3 | #include <vector> |
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4 | #include <string> |
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5 | #include <wcs.h> |
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6 | #include <Cubes/cubes.hh> |
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7 | #include <Utils/utils.hh> |
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8 | using std::endl; |
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9 | |
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10 | /****************************************************************/ |
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11 | /////////////////////////////////////////////////// |
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12 | //// Functions for DataArray class: |
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13 | /////////////////////////////////////////////////// |
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14 | |
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15 | DataArray::DataArray(short int nDim, long size){ |
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16 | // need error handling in case size<0 !!! |
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17 | if(size>0) this->array = new float[size]; |
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18 | this->numPixels = size; |
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19 | if(nDim>0) this->axisDim = new long[nDim]; |
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20 | this->numDim = nDim; |
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21 | } |
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22 | |
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23 | DataArray::DataArray(short int nDim, long *dimensions){ |
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24 | int size = dimensions[0]; |
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25 | for(int i=1;i<nDim;i++) size *= dimensions[i]; |
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26 | this->numPixels = size; |
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27 | if(size>0){ |
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28 | this->array = new float[size]; |
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29 | } |
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30 | this->numDim=nDim; |
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31 | if(nDim>0) this->axisDim = new long[nDim]; |
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32 | for(int i=0;i<nDim;i++) this->axisDim[i] = dimensions[i]; |
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33 | } |
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34 | |
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35 | void DataArray::getDimArray(long *output){ |
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36 | for(int i=0;i<this->numDim;i++) output[i] = this->axisDim[i]; |
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37 | } |
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38 | |
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39 | void DataArray::getArray(float *output){ |
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40 | for(int i=0;i<this->numPixels;i++) output[i] = this->array[i]; |
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41 | } |
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42 | |
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43 | void DataArray::saveArray(float *input, long size){ |
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44 | delete [] this->array; |
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45 | // Need check for change in number of pixels! |
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46 | this->numPixels = size; |
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47 | this->array = new float[size]; |
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48 | for(int i=0;i<size;i++) this->array[i] = input[i]; |
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49 | } |
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50 | |
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51 | void DataArray::getDim(long &x, long &y, long &z){ |
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52 | if(numDim>0) x=axisDim[0]; |
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53 | else x=0; |
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54 | if(numDim>1) y=axisDim[1]; |
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55 | else y=0; |
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56 | if(numDim>2) z=axisDim[2]; |
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57 | else z=0; |
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58 | } |
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59 | |
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60 | void DataArray::addObject(Detection object){ |
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61 | // adds a single detection to the object list |
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62 | // objectList is a vector, so just use push_back() |
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63 | this->objectList.push_back(object); |
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64 | } |
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65 | |
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66 | void DataArray::addObjectList(vector <Detection> newlist) { |
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67 | for(int i=0;i<newlist.size();i++) this->objectList.push_back(newlist[i]); |
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68 | } |
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69 | |
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70 | std::ostream& operator<< ( std::ostream& theStream, DataArray &array){ |
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71 | |
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72 | for(int i=0;i<array.numDim;i++){ |
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73 | if(i>0) theStream<<"x"; |
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74 | theStream<<array.axisDim[i]; |
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75 | } |
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76 | theStream<<endl; |
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77 | theStream<<array.objectList.size()<<" detections:"<<endl<<"--------------\n"; |
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78 | for(int i=0;i<array.objectList.size();i++){ |
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79 | theStream << "Detection #" << array.objectList[i].getID()<<endl; |
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80 | Detection *obj = new Detection; |
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81 | *obj = array.objectList[i]; |
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82 | for(int j=0;j<obj->getSize();j++){ |
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83 | obj->setX(j,obj->getX(j)+obj->getXOffset()); |
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84 | obj->setY(j,obj->getY(j)+obj->getYOffset()); |
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85 | obj->setZ(j,obj->getZ(j)+obj->getZOffset()); |
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86 | } |
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87 | theStream<<*obj; |
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88 | delete obj; |
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89 | } |
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90 | theStream<<"--------------\n"; |
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91 | } |
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92 | |
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93 | /****************************************************************/ |
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94 | ///////////////////////////////////////////////////////////// |
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95 | //// Functions for Image class |
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96 | ///////////////////////////////////////////////////////////// |
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97 | |
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98 | Image::Image(long size){ |
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99 | // need error handling in case size<0 !!! |
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100 | if(size>0){ |
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101 | this->array = new float[size]; |
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102 | this->pValue = new float[size]; |
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103 | this->mask = new short int[size]; |
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104 | } |
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105 | this->numPixels = size; |
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106 | this->axisDim = new long[2]; |
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107 | this->numDim = 2; |
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108 | } |
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109 | |
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110 | Image::Image(long *dimensions){ |
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111 | int size = dimensions[0] * dimensions[1]; |
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112 | this->numPixels = size; |
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113 | if(size>0){ |
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114 | this->array = new float[size]; |
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115 | this->pValue = new float[size]; |
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116 | this->mask = new short int[size]; |
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117 | } |
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118 | this->numDim=2; |
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119 | this->axisDim = new long[2]; |
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120 | for(int i=0;i<2;i++) this->axisDim[i] = dimensions[i]; |
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121 | for(int i=0;i<size;i++) this->mask[i] = 0; |
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122 | } |
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123 | |
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124 | void Image::saveArray(float *input, long size){ |
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125 | // Need check for change in number of pixels! |
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126 | if(this->numPixels>0){ |
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127 | delete [] array; |
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128 | delete [] pValue; |
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129 | delete [] mask; |
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130 | } |
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131 | this->numPixels = size; |
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132 | this->array = new float[size]; |
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133 | this->pValue = new float[size]; |
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134 | this->mask = new short int[size]; |
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135 | for(int i=0;i<size;i++) this->array[i] = input[i]; |
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136 | for(int i=0;i<size;i++) this->mask[i] = 0; |
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137 | } |
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138 | |
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139 | void Image::maskObject(Detection &object) |
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140 | { |
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141 | /** |
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142 | * Image::maskObject(Detection &) |
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143 | * A function that increments the mask for each pixel of the detection. |
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144 | */ |
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145 | for(long i=0;i<object.getSize();i++){ |
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146 | this->setMaskValue(object.getX(i),object.getY(i),1); |
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147 | } |
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148 | } |
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149 | |
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150 | void Image::extractSpectrum(float *Array, long *dim, long pixel) |
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151 | { |
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152 | /** |
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153 | * Image::extractSpectrum(float *, long *, int) |
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154 | * A function to extract a 1-D spectrum from a 3-D array. |
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155 | * The array is assumed to be 3-D with the third dimension the spectral one. |
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156 | * The dimensions of the array are in the dim[] array. |
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157 | * The spectrum extracted is the one lying in the spatial pixel referenced |
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158 | * by the third argument. |
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159 | */ |
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160 | float *spec = new float[dim[2]]; |
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161 | for(int z=0;z<dim[2];z++) spec[z] = Array[z*dim[0]*dim[1] + pixel]; |
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162 | this->saveArray(spec,dim[2]); |
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163 | delete [] spec; |
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164 | } |
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165 | |
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166 | void Image::extractSpectrum(Cube &cube, long pixel) |
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167 | { |
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168 | /** |
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169 | * Image::extractSpectrum(Cube &, int) |
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170 | * A function to extract a 1-D spectrum from a Cube class |
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171 | * The spectrum extracted is the one lying in the spatial pixel referenced |
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172 | * by the second argument. |
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173 | */ |
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174 | long zdim = cube.getDimZ(); |
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175 | long spatSize = cube.getDimX()*cube.getDimY(); |
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176 | float *spec = new float[zdim]; |
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177 | for(int z=0;z<zdim;z++) spec[z] = cube.getPixValue(z*spatSize + pixel); |
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178 | this->saveArray(spec,zdim); |
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179 | delete [] spec; |
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180 | } |
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181 | |
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182 | void Image::extractImage(float *Array, long *dim, long channel) |
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183 | { |
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184 | /** |
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185 | * Image::extractImage(float *, long *, int) |
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186 | * A function to extract a 2-D image from a 3-D array. |
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187 | * The array is assumed to be 3-D with the third dimension the spectral one. |
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188 | * The dimensions of the array are in the dim[] array. |
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189 | * The image extracted is the one lying in the channel referenced |
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190 | * by the third argument. |
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191 | */ |
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192 | float *image = new float[dim[0]*dim[1]]; |
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193 | for(int npix=0; npix<dim[0]*dim[1]; npix++){ |
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194 | image[npix] = Array[channel*dim[0]*dim[1] + npix]; |
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195 | } |
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196 | this->saveArray(image,dim[0]*dim[1]); |
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197 | delete [] image; |
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198 | } |
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199 | |
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200 | void Image::extractImage(Cube &cube, long channel) |
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201 | { |
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202 | /** |
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203 | * Image::extractImage(Cube &, int) |
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204 | * A function to extract a 2-D image from Cube class. |
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205 | * The image extracted is the one lying in the channel referenced |
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206 | * by the second argument. |
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207 | */ |
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208 | long spatSize = cube.getDimX()*cube.getDimY(); |
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209 | float *image = new float[spatSize]; |
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210 | for(int npix=0; npix<spatSize; npix++) |
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211 | image[npix] = cube.getPixValue(channel*spatSize + npix); |
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212 | this->saveArray(image,spatSize); |
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213 | delete [] image; |
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214 | } |
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215 | |
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216 | void Image::removeMW() |
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217 | { |
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218 | /** |
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219 | * Image::removeMW() |
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220 | * A function to remove the Milky Way range of channels from a 1-D spectrum. |
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221 | * The array in this Image is assumed to be 1-D, with only the first axisDim |
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222 | * equal to 1. |
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223 | * The values of the MW channels are set to 0, unless they are BLANK. |
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224 | */ |
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225 | int maxMW = this->par.getMaxMW(); |
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226 | int minMW = this->par.getMinMW(); |
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227 | if(this->par.getFlagMW() && (this->axisDim[1]==1)){ |
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228 | for(int z=0;z<this->axisDim[0];z++){ |
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229 | if(!this->isBlank(z) && this->par.isInMW(z)) this->array[z]=0.; |
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230 | } |
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231 | } |
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232 | } |
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233 | |
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234 | void Image::findStats(int code) |
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235 | { |
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236 | /** |
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237 | * Image::findStats(int code) |
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238 | * Front-end to function to find the stats (mean/median & sigma/madfm) and |
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239 | * store them in the "mean" and "sigma" members of Image. |
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240 | * The choice of normal(mean & sigma) or robust (median & madfm) is made via the |
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241 | * code parameter. This is stored as a decimal number, with 0s representing |
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242 | * normal stats, and 1s representing robust. |
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243 | * The 10s column is the mean, the 1s column the sigma. |
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244 | * Eg: 00 -- meanσ 01 -- mean&madfm; 10 -- medianσ 11 -- median&madfm |
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245 | * If calculated, the madfm value is corrected to sigma units. |
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246 | * The Image member "cut" is also assigned using the parameter in Image's par |
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247 | * (needs to be defined first -- also for the blank pixel determination). |
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248 | */ |
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249 | float *tempArray = new float[this->numPixels]; |
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250 | int goodSize=0; |
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251 | for(int i=0; i<this->numPixels; i++) |
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252 | if(!this->isBlank(i)) tempArray[goodSize++] = this->array[i]; |
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253 | float tempMean,tempSigma,tempMedian,tempMADFM; |
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254 | if(code != 0) findMedianStats(tempArray,goodSize,tempMedian,tempMADFM); |
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255 | if(code != 11) findNormalStats(tempArray,goodSize,tempMean,tempSigma); |
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256 | switch(code) |
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257 | { |
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258 | case 0: |
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259 | findNormalStats(tempArray,goodSize,tempMean,tempSigma); |
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260 | this->mean = tempMean; |
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261 | this->sigma = tempSigma; |
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262 | break; |
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263 | case 10: |
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264 | this->mean = findMedian(tempArray,goodSize);; |
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265 | this->sigma = findStddev(tempArray,goodSize); |
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266 | break; |
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267 | case 1: |
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268 | this->mean = findMean(tempArray,goodSize); |
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269 | this->sigma = findMADFM(tempArray,goodSize)/correctionFactor; |
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270 | break; |
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271 | case 11: |
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272 | default: |
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273 | if(code!=11) std::cerr << |
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274 | "Invalid code ("<<code<<") in findStats. Using robust method.\n"; |
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275 | findMedianStats(tempArray,goodSize,tempMedian,tempMADFM); |
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276 | this->mean = tempMedian; |
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277 | this->sigma = tempMADFM/correctionFactor; |
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278 | break; |
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279 | } |
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280 | this->cutLevel = this->par.getCut(); |
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281 | delete [] tempArray; |
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282 | } |
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283 | |
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284 | /****************************************************************/ |
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285 | ///////////////////////////////////////////////////////////// |
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286 | //// Functions for Cube class |
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287 | ///////////////////////////////////////////////////////////// |
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288 | |
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289 | Cube::Cube(long size){ |
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290 | // need error handling in case size<0 !!! |
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291 | if(size>0){ |
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292 | this->array = new float[size]; |
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293 | this->recon = new float[size]; |
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294 | } |
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295 | this->numPixels = size; |
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296 | this->axisDim = new long[2]; |
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297 | this->numDim = 3; |
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298 | this->reconExists = false; |
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299 | // flagWCS = false; |
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300 | } |
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301 | |
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302 | Cube::Cube(long *dimensions){ |
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303 | int size = dimensions[0] * dimensions[1] * dimensions[2]; |
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304 | int imsize = dimensions[0] * dimensions[1]; |
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305 | this->numPixels = size; |
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306 | if(size>0){ |
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307 | this->array = new float[size]; |
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308 | this->detectMap = new short[imsize]; |
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309 | if(this->par.getFlagATrous()) |
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310 | this->recon = new float[size]; |
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311 | if(this->par.getFlagBaseline()) |
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312 | this->baseline = new float[size]; |
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313 | } |
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314 | this->numDim = 3; |
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315 | this->axisDim = new long[3]; |
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316 | for(int i=0;i<3 ;i++) this->axisDim[i] = dimensions[i]; |
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317 | for(int i=0;i<imsize;i++) this->detectMap[i] = 0; |
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318 | // this->wcs = new wcsprm; |
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319 | // this->wcs->flag=-1; |
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320 | // wcsini(true,3,this->wcs); |
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321 | // flagWCS = false; |
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322 | } |
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323 | |
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324 | void Cube::initialiseCube(long *dimensions){ |
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325 | int size = dimensions[0] * dimensions[1] * dimensions[2]; |
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326 | int imsize = dimensions[0] * dimensions[1]; |
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327 | this->numPixels = size; |
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328 | if(size>0){ |
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329 | this->array = new float[size]; |
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330 | this->detectMap = new short[imsize]; |
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331 | this->specMean = new float[imsize]; |
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332 | this->specSigma = new float[imsize]; |
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333 | this->chanMean = new float[dimensions[2]]; |
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334 | this->chanSigma = new float[dimensions[2]]; |
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335 | if(this->par.getFlagATrous()) |
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336 | this->recon = new float[size]; |
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337 | if(this->par.getFlagBaseline()) |
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338 | this->baseline = new float[size]; |
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339 | } |
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340 | this->numDim = 3; |
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341 | this->axisDim = new long[3]; |
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342 | for(int i=0;i<3 ;i++) this->axisDim[i] = dimensions[i]; |
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343 | for(int i=0;i<imsize;i++) this->detectMap[i] = 0; |
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344 | // this->wcs = new wcsprm; |
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345 | // this->wcs->flag=-1; |
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346 | // wcsini(true,3,this->wcs); |
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347 | } |
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348 | |
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349 | void Cube::saveArray(float *input, long size){ |
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350 | // Need check for change in number of pixels! |
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351 | if(this->numPixels>0) delete [] array; |
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352 | this->numPixels = size; |
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353 | this->array = new float[size]; |
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354 | for(int i=0;i<size;i++) this->array[i] = input[i]; |
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355 | } |
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356 | |
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357 | void Cube::saveRecon(float *input, long size){ |
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358 | // Need check for change in number of pixels! |
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359 | if(this->numPixels>0) delete [] this->recon; |
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360 | this->numPixels = size; |
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361 | this->recon = new float[size]; |
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362 | for(int i=0;i<size;i++) this->recon[i] = input[i]; |
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363 | this->reconExists = true; |
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364 | } |
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365 | |
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366 | void Cube::getRecon(float *output){ |
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367 | // Need check for change in number of pixels! |
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368 | long size = this->numPixels; |
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369 | for(int i=0;i<size;i++){ |
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370 | if(this->reconExists) output[i] = this->recon[i]; |
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371 | else output[i] = 0.; |
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372 | } |
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373 | } |
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374 | |
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375 | void Cube::removeMW() |
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376 | { |
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377 | if(this->par.getFlagMW()){ |
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378 | for(int pix=0;pix<this->axisDim[0]*this->axisDim[1];pix++){ |
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379 | for(int z=0;z<this->axisDim[2];z++){ |
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380 | int pos = z*this->axisDim[0]*this->axisDim[1] + pix; |
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381 | if(!this->isBlank(pos) && this->par.isInMW(z)) this->array[pos]=0.; |
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382 | } |
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383 | } |
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384 | } |
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385 | } |
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386 | |
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387 | ////////// WCS-related functions |
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388 | |
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389 | // void Cube::setWCS(wcsprm *w) |
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390 | // { |
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391 | // /** |
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392 | // * Cube::setWCS(wcsprm *) |
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393 | // * A function that assigns the cube's wcs parameters, and runs |
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394 | // * wcsset to set it up correctly. |
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395 | // * Performs a check to see if the WCS is good (by looking at |
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396 | // * the lng and lat wcsprm parameters), and sets the flagWCS accordingly. |
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397 | // */ |
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398 | |
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399 | // wcscopy(true,w,this->wcs); |
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400 | // wcsset(this->wcs); |
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401 | // if( (w->lng!=-1) && (w->lat!=-1) ) this->flagWCS = true; |
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402 | // } |
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403 | |
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404 | // wcsprm *Cube::getWCS() |
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405 | // { |
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406 | // /** |
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407 | // * Cube::getWCS() |
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408 | // * A function that returns a wcsprm object corresponding to the cube's WCS. |
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409 | // */ |
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410 | |
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411 | // wcsprm *wNew = new wcsprm; |
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412 | // wNew->flag=-1; |
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413 | // wcsini(true,this->wcs->naxis,wNew); |
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414 | // wcscopy(true,this->wcs,wNew); |
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415 | // return wNew; |
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416 | // } |
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417 | |
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418 | void Cube::calcObjectWCSparams() |
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419 | { |
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420 | /** |
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421 | * Cube::calcObjectWCSparams() |
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422 | * A function that calculates the WCS parameters for each object in the |
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423 | * cube's list of detections. |
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424 | * Each object gets an ID number set (just the order in the list), and if the |
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425 | * WCS is good, the WCS paramters are calculated. |
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426 | */ |
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427 | |
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428 | for(int i=0; i<this->objectList.size();i++){ |
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429 | this->objectList[i].setID(i+1); |
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430 | // if(this->flagWCS) this->objectList[i].calcWCSparams(this->wcs); |
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431 | this->objectList[i].calcWCSparams(this->head); |
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432 | // this->objectList[i].setIntegFlux( this->objectList[i].getIntegFlux()/this->par.getBeamSize() ); |
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433 | // this corrects the integrated flux for the beam size. |
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434 | } |
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435 | |
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436 | |
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437 | } |
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438 | |
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439 | void Cube::sortDetections() |
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440 | { |
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441 | /** |
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442 | * Cube::sortDetections() |
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443 | * A front end to the sort-by functions. |
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444 | * If there is a good WCS, the detection list is sorted by velocity. |
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445 | * Otherwise, it is sorted by increasing z-pixel value. |
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446 | * The ID numbers are then re-calculated. |
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447 | */ |
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448 | |
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449 | if(this->head.isWCS()) SortByVel(this->objectList); |
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450 | else SortByZ(this->objectList); |
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451 | for(int i=0; i<this->objectList.size();i++) this->objectList[i].setID(i+1); |
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452 | |
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453 | } |
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454 | |
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455 | void Cube::updateDetectMap() |
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456 | { |
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457 | /** |
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458 | * Cube::updateDetectMap() |
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459 | * A function that, for each detected object in the cube's list, increments the |
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460 | * cube's detection map by the required amount at each pixel. |
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461 | */ |
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462 | |
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463 | for(int obj=0;obj<this->objectList.size();obj++) |
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464 | for(int pix=0;pix<this->objectList[obj].getSize();pix++) |
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465 | this->detectMap[this->objectList[obj].getX(pix)+this->objectList[obj].getY(pix)*this->axisDim[0]]++; |
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466 | } |
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467 | |
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468 | void Cube::updateDetectMap(Detection obj) |
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469 | { |
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470 | /** |
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471 | * Cube::updateDetectMap(Detection) |
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472 | * A function that, for the given object, increments the cube's |
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473 | * detection map by the required amount at each pixel. |
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474 | */ |
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475 | for(int pix=0;pix<obj.getSize();pix++) |
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476 | this->detectMap[obj.getX(pix)+obj.getY(pix)*this->axisDim[0]]++; |
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477 | } |
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478 | |
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479 | void Cube::setCubeStats() |
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480 | { |
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481 | // First set the stats for each spectrum (ie. each spatial pixel) |
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482 | long xySize = this->axisDim[0]*this->axisDim[1]; |
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483 | float *spec = new float[this->axisDim[2]]; |
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484 | for(int i=0;i<xySize;i++){ |
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485 | for(int z=0;z<this->axisDim[2];z++){ |
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486 | //Two cases: i) have reconstructed -- use residuals |
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487 | // ii) otherwise -- use original array |
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488 | if(this->reconExists) spec[z] = this->array[z*xySize+i] - this->recon[z*xySize+1]; |
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489 | else spec[z] = this->array[z*xySize+i]; |
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490 | } |
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491 | findMedianStats(spec,this->axisDim[2],this->specMean[i],this->specSigma[i]); |
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492 | } |
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493 | delete spec; |
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494 | // Then set the stats for each channel map |
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495 | float *im = new float[xySize]; |
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496 | for(int z=0;z<this->axisDim[2];z++){ |
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497 | for(int i=0;i<xySize;i++){ |
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498 | if(this->reconExists) im[i] = this->array[z*xySize+i] - this->recon[z*xySize+1]; |
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499 | else im[i] = this->array[z*xySize+i]; |
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500 | |
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501 | } |
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502 | findMedianStats(im,this->axisDim[2],this->chanMean[z],this->chanSigma[z]); |
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503 | this->chanSigma[z] /= correctionFactor; |
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504 | } |
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505 | delete im; |
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506 | |
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507 | } |
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508 | |
---|
509 | float Cube::enclosedFlux(Detection obj) |
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510 | { |
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511 | /** |
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512 | * float Cube::enclosedFlux(Detection obj) |
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513 | * A function to calculate the flux enclosed by the range |
---|
514 | * of pixels detected in the object obj (not necessarily all |
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515 | * pixels will have been detected). |
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516 | */ |
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517 | obj.calcParams(); |
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518 | int xsize = obj.getXmax()-obj.getXmin()+1; |
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519 | int ysize = obj.getYmax()-obj.getYmin()+1; |
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520 | int zsize = obj.getZmax()-obj.getZmin()+1; |
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521 | vector <float> fluxArray(xsize*ysize*zsize,0.); |
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522 | for(int x=0;x<xsize;x++){ |
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523 | for(int y=0;y<ysize;y++){ |
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524 | for(int z=0;z<zsize;z++){ |
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525 | fluxArray[x+y*xsize+z*ysize*xsize] = |
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526 | this->getPixValue(x+obj.getXmin(),y+obj.getYmin(),z+obj.getZmin()); |
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527 | if(this->par.getFlagNegative()) fluxArray[x+y*xsize+z*ysize*xsize] *= -1.; |
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528 | } |
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529 | } |
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530 | } |
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531 | float sum = 0.; |
---|
532 | for(int i=0;i<fluxArray.size();i++) |
---|
533 | if(!this->par.isBlank(fluxArray[i])) sum+=fluxArray[i]; |
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534 | return sum; |
---|
535 | } |
---|
536 | |
---|
537 | bool Cube::objAtEdge(Detection obj) |
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538 | { |
---|
539 | /** |
---|
540 | * bool Cube::objAtEdge() |
---|
541 | * A function to test whether the object obj |
---|
542 | * lies at the edge of the cube's field -- |
---|
543 | * either at the boundary, or next to BLANKs |
---|
544 | */ |
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545 | |
---|
546 | bool atEdge = false; |
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547 | |
---|
548 | int pix = 0; |
---|
549 | while(!atEdge && pix<obj.getSize()){ |
---|
550 | // loop over each pixel in the object, until we find an edge pixel. |
---|
551 | Voxel vox = obj.getPixel(pix); |
---|
552 | for(int dx=-1;dx<=1;dx+=2){ |
---|
553 | if(((vox.getX()+dx)<0) || ((vox.getX()+dx)>=this->axisDim[0])) atEdge = true; |
---|
554 | else if(this->isBlank(vox.getX()+dx,vox.getY(),vox.getZ())) atEdge = true; |
---|
555 | } |
---|
556 | for(int dy=-1;dy<=1;dy+=2){ |
---|
557 | if(((vox.getY()+dy)<0) || ((vox.getY()+dy)>=this->axisDim[1])) atEdge = true; |
---|
558 | else if(this->isBlank(vox.getX(),vox.getY()+dy,vox.getZ())) atEdge = true; |
---|
559 | } |
---|
560 | for(int dz=-1;dz<=1;dz+=2){ |
---|
561 | if(((vox.getZ()+dz)<0) || ((vox.getZ()+dz)>=this->axisDim[2])) atEdge = true; |
---|
562 | else if(this->isBlank(vox.getX(),vox.getY(),vox.getZ()+dz)) atEdge = true; |
---|
563 | } |
---|
564 | pix++; |
---|
565 | } |
---|
566 | |
---|
567 | return atEdge; |
---|
568 | } |
---|
569 | |
---|
570 | void Cube::setObjectFlags() |
---|
571 | { |
---|
572 | /** |
---|
573 | * void Cube::setObjectFlags() |
---|
574 | * A function to set any warning flags for all the detected objects |
---|
575 | * associated with the cube. |
---|
576 | * Flags to be looked for: |
---|
577 | * * Negative enclosed flux (N) |
---|
578 | * * Object at edge of field (E) |
---|
579 | */ |
---|
580 | |
---|
581 | for(int i=0;i<this->objectList.size();i++){ |
---|
582 | |
---|
583 | if( this->enclosedFlux(this->objectList[i]) < 0. ) |
---|
584 | this->objectList[i].addToFlagText("N"); |
---|
585 | |
---|
586 | if( this->objAtEdge(this->objectList[i]) ) |
---|
587 | this->objectList[i].addToFlagText("E"); |
---|
588 | |
---|
589 | } |
---|
590 | |
---|
591 | } |
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