1 | /** |
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2 | This software was developed by the University of Tennessee as part of the |
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3 | Distributed Data Analysis of Neutron Scattering Experiments (DANSE) |
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4 | project funded by the US National Science Foundation. |
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5 | |
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6 | If you use DANSE applications to do scientific research that leads to |
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7 | publication, we ask that you acknowledge the use of the software with the |
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8 | following sentence: |
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9 | |
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10 | "This work benefited from DANSE software developed under NSF award DMR-0520547." |
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11 | |
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12 | copyright 2008, University of Tennessee |
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13 | */ |
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14 | |
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15 | /** |
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16 | * Scattering model classes |
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17 | * The classes use the IGOR library found in |
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18 | * sansmodels/src/libigor |
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19 | * |
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20 | */ |
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21 | |
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22 | #include <math.h> |
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23 | #include "parameters.hh" |
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24 | #include <stdio.h> |
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25 | using namespace std; |
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26 | #include "vesicle.h" |
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27 | |
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28 | extern "C" { |
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29 | #include "libSphere.h" |
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30 | } |
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31 | |
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32 | typedef struct { |
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33 | double scale; |
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34 | double radius; |
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35 | double thickness; |
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36 | double solv_sld; |
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37 | double shell_sld; |
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38 | double background; |
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39 | } VesicleParameters; |
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40 | |
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41 | VesicleModel :: VesicleModel() { |
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42 | scale = Parameter(1.0); |
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43 | radius = Parameter(100.0, true); |
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44 | radius.set_min(0.0); |
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45 | thickness = Parameter(30.0, true); |
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46 | thickness.set_min(0.0); |
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47 | solv_sld = Parameter(6.36e-6); |
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48 | shell_sld = Parameter(5.0e-7); |
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49 | background = Parameter(0.0); |
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50 | } |
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51 | |
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52 | /** |
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53 | * Function to evaluate 1D scattering function |
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54 | * The NIST IGOR library is used for the actual calculation. |
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55 | * @param q: q-value |
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56 | * @return: function value |
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57 | */ |
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58 | double VesicleModel :: operator()(double q) { |
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59 | double dp[6]; |
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60 | |
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61 | // Fill parameter array for IGOR library |
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62 | // Add the background after averaging |
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63 | dp[0] = scale(); |
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64 | dp[1] = radius(); |
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65 | dp[2] = thickness(); |
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66 | dp[3] = solv_sld(); |
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67 | dp[4] = shell_sld(); |
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68 | dp[5] = 0.0; |
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69 | |
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70 | |
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71 | // Get the dispersion points for the core radius |
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72 | vector<WeightPoint> weights_radius; |
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73 | radius.get_weights(weights_radius); |
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74 | // Get the dispersion points for the thickness |
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75 | vector<WeightPoint> weights_thickness; |
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76 | thickness.get_weights(weights_thickness); |
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77 | |
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78 | // Perform the computation, with all weight points |
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79 | double sum = 0.0; |
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80 | double norm = 0.0; |
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81 | double vol = 0.0; |
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82 | |
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83 | // Loop over radius weight points |
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84 | for(int i=0; i< (int)weights_radius.size(); i++) { |
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85 | dp[1] = weights_radius[i].value; |
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86 | for(int j=0; j< (int)weights_thickness.size(); j++) { |
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87 | dp[2] = weights_thickness[j].value; |
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88 | sum += weights_radius[i].weight |
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89 | * weights_thickness[j].weight * VesicleForm(dp, q) |
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90 | *(pow(weights_radius[i].value+weights_thickness[j].value,3)-pow(weights_radius[i].value,3)); |
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91 | //Find average volume |
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92 | vol += weights_radius[i].weight * weights_thickness[j].weight |
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93 | *(pow(weights_radius[i].value+weights_thickness[j].value,3)-pow(weights_radius[i].value,3)); |
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94 | norm += weights_radius[i].weight * weights_thickness[j].weight; |
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95 | } |
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96 | } |
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97 | if (vol != 0.0 && norm != 0.0) { |
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98 | //Re-normalize by avg volume |
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99 | sum = sum/(vol/norm);} |
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100 | |
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101 | return sum/norm + background(); |
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102 | } |
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103 | |
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104 | /** |
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105 | * Function to evaluate 2D scattering function |
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106 | * @param q_x: value of Q along x |
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107 | * @param q_y: value of Q along y |
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108 | * @return: function value |
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109 | */ |
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110 | double VesicleModel :: operator()(double qx, double qy) { |
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111 | double q = sqrt(qx*qx + qy*qy); |
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112 | return (*this).operator()(q); |
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113 | } |
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114 | |
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115 | /** |
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116 | * Function to evaluate 2D scattering function |
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117 | * @param pars: parameters of the vesicle |
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118 | * @param q: q-value |
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119 | * @param phi: angle phi |
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120 | * @return: function value |
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121 | */ |
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122 | double VesicleModel :: evaluate_rphi(double q, double phi) { |
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123 | return (*this).operator()(q); |
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124 | } |
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125 | /** |
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126 | * Function to calculate effective radius |
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127 | * @return: effective radius value |
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128 | */ |
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129 | double VesicleModel :: calculate_ER() { |
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130 | VesicleParameters dp; |
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131 | |
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132 | dp.radius = radius(); |
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133 | dp.thickness = thickness(); |
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134 | |
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135 | double rad_out = 0.0; |
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136 | |
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137 | // Perform the computation, with all weight points |
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138 | double sum = 0.0; |
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139 | double norm = 0.0; |
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140 | |
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141 | |
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142 | // Get the dispersion points for the major shell |
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143 | vector<WeightPoint> weights_thickness; |
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144 | thickness.get_weights(weights_thickness); |
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145 | |
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146 | // Get the dispersion points for the minor shell |
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147 | vector<WeightPoint> weights_radius ; |
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148 | radius.get_weights(weights_radius); |
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149 | |
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150 | // Loop over major shell weight points |
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151 | for(int j=0; j< (int)weights_thickness.size(); j++) { |
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152 | dp.thickness = weights_thickness[j].value; |
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153 | for(int k=0; k< (int)weights_radius.size(); k++) { |
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154 | dp.radius = weights_radius[k].value; |
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155 | sum += weights_thickness[j].weight |
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156 | * weights_radius[k].weight*(dp.radius+dp.thickness); |
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157 | norm += weights_thickness[j].weight* weights_radius[k].weight; |
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158 | } |
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159 | } |
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160 | if (norm != 0){ |
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161 | //return the averaged value |
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162 | rad_out = sum/norm;} |
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163 | else{ |
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164 | //return normal value |
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165 | rad_out = (dp.radius+dp.thickness);} |
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166 | |
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167 | return rad_out; |
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168 | } |
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169 | /** |
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170 | * Function to calculate volf_ratio for shell |
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171 | * @return: volf_ratio value |
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172 | */ |
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173 | double VesicleModel :: calculate_VR() { |
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174 | VesicleParameters dp; |
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175 | |
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176 | dp.radius = radius(); |
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177 | dp.thickness = thickness(); |
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178 | |
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179 | double rad_out = 0.0; |
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180 | |
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181 | // Perform the computation, with all weight points |
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182 | double sum_tot = 0.0; |
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183 | double sum_shell = 0.0; |
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184 | |
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185 | |
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186 | // Get the dispersion points for the major shell |
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187 | vector<WeightPoint> weights_thickness; |
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188 | thickness.get_weights(weights_thickness); |
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189 | |
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190 | // Get the dispersion points for the minor shell |
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191 | vector<WeightPoint> weights_radius ; |
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192 | radius.get_weights(weights_radius); |
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193 | |
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194 | // Loop over major shell weight points |
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195 | for(int j=0; j< (int)weights_thickness.size(); j++) { |
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196 | dp.thickness = weights_thickness[j].value; |
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197 | for(int k=0; k< (int)weights_radius.size(); k++) { |
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198 | dp.radius = weights_radius[k].value; |
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199 | sum_tot += weights_thickness[j].weight |
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200 | * weights_radius[k].weight*pow((dp.radius+dp.thickness), 3); |
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201 | sum_shell += weights_thickness[j].weight |
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202 | * weights_radius[k].weight*(pow((dp.radius+dp.thickness), 3) |
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203 | - pow((dp.radius), 3)); |
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204 | } |
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205 | } |
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206 | if (sum_tot == 0.0){ |
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207 | //return the default value |
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208 | rad_out = 1.0;} |
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209 | else{ |
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210 | //return ratio value |
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211 | return sum_shell/sum_tot; |
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212 | } |
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213 | } |
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