1 | /** |
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2 | * Evaluate EllipsoidModel with angular distribution given |
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3 | * by user. |
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4 | * |
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5 | * This code was written as part of the DANSE project |
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6 | * http://danse.us/trac/sans/ |
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7 | * |
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8 | * WARNING: THIS FILE WAS GENERATED BY IGORGENERATOR.PY |
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9 | * DO NOT MODIFY THIS FILE, MODIFY ellipsoid.h |
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10 | * AND RE-RUN THE GENERATOR SCRIPT |
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11 | * |
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12 | * @copyright 2007: University of Tennessee, for the DANSE project |
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13 | * |
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14 | */ |
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15 | |
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16 | #include "c_disperser.h" |
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17 | #include "danse.h" |
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18 | #include <math.h> |
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19 | |
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20 | /** |
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21 | * Evaluate model for given angular distributions in theta and phi. |
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22 | * |
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23 | * Angles are in radian. |
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24 | * |
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25 | * See disp_ellipsoid.c for more information about the model parameters. |
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26 | * |
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27 | * @param dp: model parameters |
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28 | * @param phi_values: vector of phi_values |
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29 | * @param phi_weights: vector of weights for each entry in phi_values |
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30 | * @param n_phi: length of phi_values and phi_weights vectors |
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31 | * @param theta_values: vector of theta values |
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32 | * @param theta_weights: vector of weights for each entry in theta_values |
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33 | * @param n_theta: length of theta_Values and theta_weights vectors |
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34 | * @param q: q-value to evaluate the model at |
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35 | * @param phi_q: angle between the q-vector and the q_x axis |
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36 | * @return: scattering intensity |
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37 | * |
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38 | // List of default parameters: |
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39 | // pars[0]: scale = 1.0 |
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40 | // pars[1]: radius_a = 20.0 A |
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41 | // pars[2]: radius_b = 400.0 A |
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42 | // pars[3]: contrast = 3e-06 A-2 |
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43 | // pars[4]: background = 0.0 cm-1 |
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44 | // pars[5]: axis_theta = 1.57 rad |
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45 | // pars[6]: axis_phi = 0.0 rad |
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46 | |
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47 | // pars[7]: dispersion of radius_a |
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48 | // pars[8]: dispersion of radius_b |
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49 | // pars[9]: dispersion of axis_theta |
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50 | // pars[10]: dispersion of axis_phi |
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51 | // pars[11]: number of points in dispersion curve |
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52 | * |
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53 | * NOTE: DO NOT USE THETA AND PHI PARAMETERS WHEN |
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54 | * USING THIS FUNCTION TO APPLY ANGULAR DISTRIBUTIONS. |
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55 | * |
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56 | */ |
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57 | double ellipsoid_Weights(double dp[], double *phi_values, double *phi_weights, int n_phi, |
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58 | double *theta_values, double *theta_weights, int n_theta, |
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59 | double q, double phi_q) { |
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60 | // Copy of parameters |
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61 | double pars[12]; |
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62 | // Parameter index for theta |
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63 | int theta_index = 5; |
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64 | // Parameter index for phi |
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65 | int phi_index = 6; |
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66 | int i, i_theta; |
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67 | double sum, norm; |
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68 | |
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69 | // Copy parameters because they will be modified |
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70 | for(i=0; i<12; i++) { |
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71 | pars[i] = dp[i]; |
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72 | } |
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73 | |
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74 | if (n_theta == 0) { |
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75 | return weight_dispersion( &disperse_ellipsoid_analytical_2D, |
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76 | phi_values, phi_weights, n_phi, phi_index, pars, q, phi_q ); |
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77 | } else { |
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78 | sum = 0.0; |
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79 | norm = 0.0; |
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80 | |
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81 | for(i_theta=0; i_theta<n_theta; i_theta++) { |
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82 | // Assign new theta value |
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83 | pars[theta_index] = theta_values[i_theta]; |
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84 | // Evaluate the function, weight by sin(theta) |
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85 | sum += sin(theta_values[i_theta]) * theta_weights[i_theta] * |
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86 | weight_dispersion( &disperse_ellipsoid_analytical_2D, |
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87 | phi_values, phi_weights, n_phi, phi_index, pars, q, phi_q ); |
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88 | // Keep track of normalization |
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89 | norm += theta_weights[i_theta]; |
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90 | } |
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91 | |
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92 | // Protect against null weight vector |
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93 | if(norm > 0) { |
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94 | return sum/norm; |
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95 | } |
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96 | } |
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97 | return 0.0; |
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98 | } |
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99 | |
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100 | |
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101 | |
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