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 "libStructureFactor.h" |
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31 | #include "DiamEllip.h" |
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32 | } |
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33 | |
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34 | DiamEllipFunc :: DiamEllipFunc() { |
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35 | radius_a = Parameter(20.0, true); |
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36 | radius_a.set_min(0.0); |
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37 | radius_b = Parameter(400, true); |
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38 | radius_b.set_min(0.0); |
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39 | } |
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40 | |
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41 | /** |
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42 | * Function to evaluate 1D scattering function |
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43 | * The NIST IGOR library is used for the actual calculation. |
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44 | * @param q: q-value |
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45 | * @return: function value |
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46 | */ |
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47 | double DiamEllipFunc :: operator()(double q) { |
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48 | double dp[2]; |
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49 | |
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50 | // Fill parameter array for IGOR library |
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51 | // Add the background after averaging |
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52 | dp[0] = radius_a(); |
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53 | dp[1] = radius_b(); |
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54 | |
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55 | // Get the dispersion points for the radius a |
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56 | vector<WeightPoint> weights_rad_a; |
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57 | radius_a.get_weights(weights_rad_a); |
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58 | |
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59 | // Get the dispersion points for the radius b |
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60 | vector<WeightPoint> weights_rad_b; |
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61 | radius_b.get_weights(weights_rad_b); |
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62 | |
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63 | // Perform the computation, with all weight points |
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64 | double sum = 0.0; |
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65 | double norm = 0.0; |
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66 | |
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67 | // Loop over radius weight points |
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68 | for(int i=0; i<weights_rad_a.size(); i++) { |
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69 | dp[0] = weights_rad_a[i].value; |
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70 | // Loop over length weight points |
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71 | for(int j=0; j<weights_rad_b.size(); j++) { |
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72 | dp[1] = weights_rad_b[j].value; |
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73 | |
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74 | sum += weights_rad_a[i].weight*weights_rad_b[j].weight |
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75 | * DiamEllip(dp, q); |
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76 | norm += weights_rad_a[i].weight*weights_rad_b[j].weight; |
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77 | } |
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78 | } |
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79 | return sum/norm ; |
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80 | } |
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81 | |
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82 | /** |
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83 | * Function to evaluate 2D scattering function |
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84 | * @param q_x: value of Q along x |
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85 | * @param q_y: value of Q along y |
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86 | * @return: function value |
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87 | */ |
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88 | double DiamEllipFunc :: operator()(double qx, double qy) { |
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89 | DiamEllipsParameters dp; |
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90 | // Fill parameter array |
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91 | dp.radius_a = radius_a(); |
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92 | dp.radius_b = radius_b(); |
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93 | |
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94 | // Get the dispersion points for the radius a |
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95 | vector<WeightPoint> weights_rad_a; |
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96 | radius_a.get_weights(weights_rad_a); |
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97 | |
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98 | // Get the dispersion points for the radius b |
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99 | vector<WeightPoint> weights_rad_b; |
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100 | radius_b.get_weights(weights_rad_b); |
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101 | |
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102 | |
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103 | // Perform the computation, with all weight points |
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104 | double sum = 0.0; |
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105 | double norm = 0.0; |
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106 | |
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107 | // Loop over radius weight points |
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108 | for(int i=0; i<weights_rad_a.size(); i++) { |
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109 | dp.radius_a = weights_rad_a[i].value; |
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110 | // Loop over length weight points |
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111 | for(int j=0; j<weights_rad_b.size(); j++) { |
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112 | dp.radius_b = weights_rad_b[j].value; |
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113 | |
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114 | double _ptvalue = weights_rad_a[i].weight |
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115 | *weights_rad_b[j].weight* DiamEllips_analytical_2DXY(&dp, qx, qy); |
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116 | sum += _ptvalue; |
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117 | |
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118 | norm += weights_rad_a[i].weight*weights_rad_b[j].weight; |
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119 | } |
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120 | } |
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121 | // Averaging in theta needs an extra normalization |
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122 | // factor to account for the sin(theta) term in the |
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123 | // integration (see documentation). |
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124 | return sum/norm; |
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125 | } |
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126 | |
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127 | /** |
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128 | * Function to evaluate 2D scattering function |
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129 | * @param pars: parameters of the cylinder |
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130 | * @param q: q-value |
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131 | * @param phi: angle phi |
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132 | * @return: function value |
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133 | */ |
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134 | double DiamEllipFunc :: evaluate_rphi(double q, double phi) { |
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135 | double qx = q*cos(phi); |
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136 | double qy = q*sin(phi); |
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137 | return (*this).operator()(qx, qy); |
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138 | } |
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139 | |
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140 | // Testing code |
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141 | /* |
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142 | int main(void) |
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143 | { |
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144 | SquareWellModel c = SquareWellModel(); |
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145 | |
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146 | printf("I(Qx=%g,Qy=%g) = %g\n", 0.001, 0.001, c(0.001, 0.001)); |
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147 | printf("I(Q=%g) = %g\n", 0.001, c(0.001)); |
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148 | c.radius.dispersion = new GaussianDispersion(); |
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149 | c.radius.dispersion->npts = 100; |
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150 | c.radius.dispersion->width = 5; |
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151 | |
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152 | //c.length.dispersion = GaussianDispersion(); |
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153 | //c.length.dispersion.npts = 20; |
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154 | //c.length.dispersion.width = 65; |
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155 | |
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156 | printf("I(Q=%g) = %g\n", 0.001, c(0.001)); |
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157 | printf("I(Q=%g) = %g\n", 0.001, c(0.001)); |
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158 | printf("I(Qx=%g, Qy=%g) = %g\n", 0.001, 0.001, c(0.001, 0.001)); |
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159 | printf("I(Q=%g, Phi=%g) = %g\n", 0.00447, .7854, c.evaluate_rphi(sqrt(0.00002), .7854)); |
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160 | |
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161 | |
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162 | |
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163 | double i_avg = c(0.01, 0.01); |
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164 | double i_1d = c(sqrt(0.0002)); |
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165 | |
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166 | printf("\nI(Qx=%g, Qy=%g) = %g\n", 0.01, 0.01, i_avg); |
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167 | printf("I(Q=%g) = %g\n", sqrt(0.0002), i_1d); |
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168 | printf("ratio %g %g\n", i_avg/i_1d, i_1d/i_avg); |
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169 | |
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170 | |
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171 | return 0; |
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172 | } |
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173 | */ |
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