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 | * TODO: refactor so that we pull in the old sansmodels.c_extensions |
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21 | */ |
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22 | |
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23 | #include <math.h> |
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24 | #include "models.hh" |
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25 | #include "parameters.hh" |
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26 | #include <stdio.h> |
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27 | using namespace std; |
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28 | |
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29 | extern "C" { |
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30 | #include "libCylinder.h" |
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31 | #include "libStructureFactor.h" |
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32 | #include "elliptical_cylinder.h" |
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33 | } |
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34 | |
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35 | EllipticalCylinderModel :: EllipticalCylinderModel() { |
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36 | scale = Parameter(1.0); |
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37 | r_minor = Parameter(20.0, true); |
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38 | r_minor.set_min(0.0); |
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39 | r_ratio = Parameter(1.5, true); |
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40 | r_ratio.set_min(0.0); |
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41 | length = Parameter(400.0, true); |
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42 | length.set_min(0.0); |
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43 | contrast = Parameter(3.e-6); |
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44 | background = Parameter(0.0); |
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45 | cyl_theta = Parameter(1.57, true); |
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46 | cyl_phi = Parameter(0.0, true); |
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47 | cyl_psi = Parameter(0.0, true); |
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48 | } |
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49 | |
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50 | /** |
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51 | * Function to evaluate 1D scattering function |
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52 | * The NIST IGOR library is used for the actual calculation. |
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53 | * @param q: q-value |
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54 | * @return: function value |
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55 | */ |
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56 | double EllipticalCylinderModel :: operator()(double q) { |
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57 | double dp[6]; |
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58 | |
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59 | dp[0] = scale(); |
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60 | dp[1] = r_minor(); |
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61 | dp[2] = r_ratio(); |
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62 | dp[3] = length(); |
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63 | dp[4] = contrast(); |
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64 | dp[5] = 0.0; |
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65 | |
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66 | // Get the dispersion points for the r_minor |
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67 | vector<WeightPoint> weights_rad; |
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68 | r_minor.get_weights(weights_rad); |
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69 | |
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70 | // Get the dispersion points for the r_ratio |
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71 | vector<WeightPoint> weights_rat; |
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72 | r_ratio.get_weights(weights_rat); |
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73 | |
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74 | // Get the dispersion points for the length |
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75 | vector<WeightPoint> weights_len; |
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76 | length.get_weights(weights_len); |
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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 | |
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82 | // Loop over r_minor weight points |
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83 | for(int i=0; i<weights_rad.size(); i++) { |
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84 | dp[1] = weights_rad[i].value; |
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85 | |
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86 | // Loop over r_ratio weight points |
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87 | for(int j=0; j<weights_rat.size(); j++) { |
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88 | dp[2] = weights_rat[j].value; |
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89 | |
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90 | // Loop over length weight points |
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91 | for(int k=0; k<weights_len.size(); k++) { |
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92 | dp[3] = weights_len[k].value; |
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93 | |
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94 | sum += weights_rad[i].weight |
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95 | * weights_len[k].weight |
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96 | * weights_rat[j].weight |
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97 | * EllipCyl20(dp, q); |
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98 | norm += weights_rad[i].weight |
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99 | * weights_len[k].weight |
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100 | * weights_rat[j].weight; |
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101 | } |
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102 | } |
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103 | } |
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104 | return sum/norm + background(); |
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105 | } |
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106 | |
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107 | /** |
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108 | * Function to evaluate 2D scattering function |
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109 | * @param q_x: value of Q along x |
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110 | * @param q_y: value of Q along y |
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111 | * @return: function value |
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112 | */ |
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113 | double EllipticalCylinderModel :: operator()(double qx, double qy) { |
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114 | EllipticalCylinderParameters dp; |
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115 | // Fill parameter array |
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116 | dp.scale = scale(); |
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117 | dp.r_minor = r_minor(); |
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118 | dp.r_ratio = r_ratio(); |
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119 | dp.length = length(); |
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120 | dp.contrast = contrast(); |
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121 | dp.background = 0.0; |
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122 | dp.cyl_theta = cyl_theta(); |
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123 | dp.cyl_phi = cyl_phi(); |
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124 | dp.cyl_psi = cyl_psi(); |
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125 | |
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126 | // Get the dispersion points for the r_minor |
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127 | vector<WeightPoint> weights_rad; |
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128 | r_minor.get_weights(weights_rad); |
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129 | |
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130 | // Get the dispersion points for the r_ratio |
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131 | vector<WeightPoint> weights_rat; |
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132 | r_ratio.get_weights(weights_rat); |
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133 | |
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134 | // Get the dispersion points for the length |
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135 | vector<WeightPoint> weights_len; |
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136 | length.get_weights(weights_len); |
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137 | |
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138 | // Get angular averaging for theta |
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139 | vector<WeightPoint> weights_theta; |
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140 | cyl_theta.get_weights(weights_theta); |
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141 | |
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142 | // Get angular averaging for phi |
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143 | vector<WeightPoint> weights_phi; |
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144 | cyl_phi.get_weights(weights_phi); |
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145 | |
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146 | // Get angular averaging for psi |
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147 | vector<WeightPoint> weights_psi; |
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148 | cyl_psi.get_weights(weights_psi); |
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149 | |
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150 | // Perform the computation, with all weight points |
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151 | double sum = 0.0; |
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152 | double norm = 0.0; |
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153 | |
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154 | // Loop over minor radius weight points |
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155 | for(int i=0; i<weights_rad.size(); i++) { |
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156 | dp.r_minor = weights_rad[i].value; |
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157 | |
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158 | |
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159 | // Loop over length weight points |
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160 | for(int j=0; j<weights_len.size(); j++) { |
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161 | dp.length = weights_len[j].value; |
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162 | |
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163 | // Loop over r_ration weight points |
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164 | for(int m=0; m<weights_rat.size(); m++) { |
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165 | dp.r_ratio = weights_rat[m].value; |
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166 | |
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167 | // Average over theta distribution |
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168 | for(int k=0; k<weights_theta.size(); k++) { |
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169 | dp.cyl_theta = weights_theta[k].value; |
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170 | |
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171 | // Average over phi distribution |
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172 | for(int l=0; l<weights_phi.size(); l++) { |
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173 | dp.cyl_phi = weights_phi[l].value; |
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174 | |
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175 | // Average over phi distribution |
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176 | for(int o=0; o<weights_psi.size(); o++) { |
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177 | dp.cyl_psi = weights_psi[o].value; |
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178 | |
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179 | double _ptvalue = weights_rad[i].weight |
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180 | * weights_len[j].weight |
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181 | * weights_rat[m].weight |
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182 | * weights_theta[k].weight |
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183 | * weights_phi[l].weight |
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184 | * weights_psi[o].weight |
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185 | * elliptical_cylinder_analytical_2DXY(&dp, qx, qy); |
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186 | if (weights_theta.size()>1) { |
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187 | _ptvalue *= sin(weights_theta[k].value); |
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188 | } |
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189 | sum += _ptvalue; |
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190 | |
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191 | norm += weights_rad[i].weight |
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192 | * weights_len[j].weight |
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193 | * weights_rat[m].weight |
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194 | * weights_theta[k].weight |
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195 | * weights_phi[l].weight |
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196 | * weights_psi[o].weight; |
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197 | |
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198 | } |
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199 | } |
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200 | } |
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201 | } |
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202 | } |
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203 | } |
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204 | // Averaging in theta needs an extra normalization |
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205 | // factor to account for the sin(theta) term in the |
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206 | // integration (see documentation). |
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207 | if (weights_theta.size()>1) norm = norm / asin(1.0); |
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208 | return sum/norm + background(); |
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209 | } |
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210 | |
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211 | /** |
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212 | * Function to evaluate 2D scattering function |
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213 | * @param pars: parameters of the cylinder |
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214 | * @param q: q-value |
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215 | * @param phi: angle phi |
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216 | * @return: function value |
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217 | */ |
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218 | double EllipticalCylinderModel :: evaluate_rphi(double q, double phi) { |
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219 | double qx = q*cos(phi); |
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220 | double qy = q*sin(phi); |
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221 | return (*this).operator()(qx, qy); |
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222 | } |
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223 | /** |
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224 | * Function to calculate effective radius |
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225 | * @return: effective radius value |
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226 | */ |
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227 | double EllipticalCylinderModel :: calculate_ER() { |
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228 | EllipticalCylinderParameters dp; |
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229 | dp.r_minor = r_minor(); |
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230 | dp.r_ratio = r_ratio(); |
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231 | dp.length = length(); |
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232 | double rad_out = 0.0; |
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233 | double pi = 4.0*atan(1.0); |
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234 | double suf_rad = sqrt(dp.r_minor*dp.r_minor*dp.r_ratio); |
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235 | |
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236 | // Perform the computation, with all weight points |
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237 | double sum = 0.0; |
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238 | double norm = 0.0; |
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239 | |
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240 | // Get the dispersion points for the r_minor |
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241 | vector<WeightPoint> weights_rad; |
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242 | r_minor.get_weights(weights_rad); |
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243 | |
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244 | // Get the dispersion points for the r_ratio |
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245 | vector<WeightPoint> weights_rat; |
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246 | r_ratio.get_weights(weights_rat); |
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247 | |
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248 | // Get the dispersion points for the length |
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249 | vector<WeightPoint> weights_len; |
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250 | length.get_weights(weights_len); |
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251 | |
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252 | // Loop over minor radius weight points |
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253 | for(int i=0; i<weights_rad.size(); i++) { |
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254 | dp.r_minor = weights_rad[i].value; |
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255 | |
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256 | // Loop over length weight points |
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257 | for(int j=0; j<weights_len.size(); j++) { |
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258 | dp.length = weights_len[j].value; |
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259 | |
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260 | // Loop over r_ration weight points |
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261 | for(int m=0; m<weights_rat.size(); m++) { |
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262 | dp.r_ratio = weights_rat[m].value; |
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263 | //Calculate surface averaged radius |
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264 | suf_rad = sqrt(dp.r_minor * dp.r_minor * dp.r_ratio); |
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265 | |
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266 | //Note: output of "DiamCyl(dp.length,dp.radius)" is DIAMETER. |
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267 | sum +=weights_rad[i].weight *weights_len[j].weight |
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268 | * weights_rat[m].weight*DiamCyl(dp.length, suf_rad)/2.0; |
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269 | norm += weights_rad[i].weight *weights_len[j].weight* weights_rat[m].weight; |
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270 | } |
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271 | } |
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272 | } |
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273 | if (norm != 0){ |
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274 | //return the averaged value |
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275 | rad_out = sum/norm;} |
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276 | else{ |
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277 | //return normal value |
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278 | //Note: output of "DiamCyl(dp.length,dp.radius)" is DIAMETER. |
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279 | rad_out = DiamCyl(dp.length, suf_rad)/2.0;} |
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280 | |
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281 | return rad_out; |
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282 | } |
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