[ae3ce4e] | 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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