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 "HayterMSA.h" |
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32 | } |
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33 | |
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34 | HayterMSAStructure :: HayterMSAStructure() { |
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35 | effect_radius = Parameter(20.75, true); |
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36 | effect_radius.set_min(0.0); |
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37 | charge = Parameter(19.0, true); |
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38 | volfraction = Parameter(0.0192, true); |
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39 | volfraction.set_min(0.0); |
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40 | temperature = Parameter(318.16, true); |
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41 | temperature.set_min(0.0); |
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42 | saltconc = Parameter(0.0); |
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43 | dielectconst = Parameter(71.08); |
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44 | } |
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45 | |
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46 | /** |
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47 | * Function to evaluate 1D scattering function |
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48 | * The NIST IGOR library is used for the actual calculation. |
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49 | * @param q: q-value |
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50 | * @return: function value |
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51 | */ |
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52 | double HayterMSAStructure :: operator()(double q) { |
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53 | double dp[6]; |
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54 | |
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55 | // Fill parameter array for IGOR library |
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56 | // Add the background after averaging |
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57 | dp[0] = 2.0*effect_radius(); |
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58 | dp[1] = fabs(charge()); |
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59 | dp[2] = volfraction(); |
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60 | dp[3] = temperature(); |
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61 | dp[4] = saltconc(); |
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62 | dp[5] = dielectconst(); |
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63 | |
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64 | // Get the dispersion points for the radius |
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65 | vector<WeightPoint> weights_rad; |
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66 | effect_radius.get_weights(weights_rad); |
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67 | |
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68 | // Perform the computation, with all weight points |
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69 | double sum = 0.0; |
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70 | double norm = 0.0; |
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71 | |
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72 | // Loop over radius weight points |
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73 | for(size_t i=0; i<weights_rad.size(); i++) { |
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74 | dp[0] = 2.0*weights_rad[i].value; |
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75 | |
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76 | sum += weights_rad[i].weight |
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77 | * HayterPenfoldMSA(dp, q); |
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78 | norm += weights_rad[i].weight; |
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79 | } |
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80 | return sum/norm ; |
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81 | } |
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82 | |
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83 | /** |
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84 | * Function to evaluate 2D scattering function |
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85 | * @param q_x: value of Q along x |
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86 | * @param q_y: value of Q along y |
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87 | * @return: function value |
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88 | */ |
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89 | double HayterMSAStructure :: operator()(double qx, double qy) { |
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90 | double q = sqrt(qx*qx + qy*qy); |
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91 | return (*this).operator()(q); |
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92 | } |
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93 | |
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94 | /** |
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95 | * Function to evaluate 2D scattering function |
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96 | * @param pars: parameters of the cylinder |
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97 | * @param q: q-value |
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98 | * @param phi: angle phi |
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99 | * @return: function value |
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100 | */ |
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101 | double HayterMSAStructure :: evaluate_rphi(double q, double phi) { |
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102 | double qx = q*cos(phi); |
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103 | double qy = q*sin(phi); |
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104 | return (*this).operator()(qx, qy); |
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105 | } |
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106 | /** |
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107 | * Function to calculate effective radius |
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108 | * @return: effective radius value |
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109 | */ |
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110 | double HayterMSAStructure :: calculate_ER() { |
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111 | //NOT implemented yet!!! |
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112 | return 0.0; |
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113 | } |
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114 | |
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115 | // Testing code |
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116 | /* |
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117 | int main(void) |
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118 | { |
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119 | SquareWellModel c = SquareWellModel(); |
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120 | |
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121 | printf("I(Qx=%g,Qy=%g) = %g\n", 0.001, 0.001, c(0.001, 0.001)); |
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122 | printf("I(Q=%g) = %g\n", 0.001, c(0.001)); |
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123 | c.radius.dispersion = new GaussianDispersion(); |
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124 | c.radius.dispersion->npts = 100; |
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125 | c.radius.dispersion->width = 5; |
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126 | |
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127 | //c.length.dispersion = GaussianDispersion(); |
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128 | //c.length.dispersion.npts = 20; |
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129 | //c.length.dispersion.width = 65; |
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130 | |
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131 | printf("I(Q=%g) = %g\n", 0.001, c(0.001)); |
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132 | printf("I(Q=%g) = %g\n", 0.001, c(0.001)); |
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133 | printf("I(Qx=%g, Qy=%g) = %g\n", 0.001, 0.001, c(0.001, 0.001)); |
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134 | printf("I(Q=%g, Phi=%g) = %g\n", 0.00447, .7854, c.evaluate_rphi(sqrt(0.00002), .7854)); |
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135 | |
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136 | |
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137 | |
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138 | double i_avg = c(0.01, 0.01); |
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139 | double i_1d = c(sqrt(0.0002)); |
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140 | |
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141 | printf("\nI(Qx=%g, Qy=%g) = %g\n", 0.01, 0.01, i_avg); |
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142 | printf("I(Q=%g) = %g\n", sqrt(0.0002), i_1d); |
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143 | printf("ratio %g %g\n", i_avg/i_1d, i_1d/i_avg); |
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144 | |
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145 | |
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146 | return 0; |
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147 | } |
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148 | */ |
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