[6b38781] | 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 | */ |
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| 21 | |
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| 22 | #include <math.h> |
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| 23 | #include "models.hh" |
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| 24 | #include "parameters.hh" |
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| 25 | #include <stdio.h> |
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| 26 | using namespace std; |
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| 27 | |
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| 28 | extern "C" { |
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| 29 | #include "libStructureFactor.h" |
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| 30 | #include "DiamEllip.h" |
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| 31 | } |
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| 32 | |
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| 33 | DiamEllipFunc :: DiamEllipFunc() { |
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| 34 | radius_a = Parameter(20.0, true); |
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| 35 | radius_a.set_min(0.0); |
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| 36 | radius_b = Parameter(400, true); |
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| 37 | radius_b.set_min(0.0); |
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| 38 | } |
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| 39 | |
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| 40 | /** |
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| 41 | * Function to evaluate 1D scattering function |
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| 42 | * The NIST IGOR library is used for the actual calculation. |
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| 43 | * @param q: q-value |
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| 44 | * @return: function value |
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| 45 | */ |
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| 46 | double DiamEllipFunc :: operator()(double q) { |
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| 47 | double dp[2]; |
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| 48 | |
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| 49 | // Fill parameter array for IGOR library |
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| 50 | // Add the background after averaging |
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| 51 | dp[0] = radius_a(); |
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| 52 | dp[1] = radius_b(); |
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| 53 | |
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| 54 | // Get the dispersion points for the radius a |
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| 55 | vector<WeightPoint> weights_rad_a; |
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| 56 | radius_a.get_weights(weights_rad_a); |
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| 57 | |
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| 58 | // Get the dispersion points for the radius b |
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| 59 | vector<WeightPoint> weights_rad_b; |
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| 60 | radius_b.get_weights(weights_rad_b); |
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| 61 | |
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| 62 | // Perform the computation, with all weight points |
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| 63 | double sum = 0.0; |
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| 64 | double norm = 0.0; |
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| 65 | |
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| 66 | // Loop over radius weight points |
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| 67 | for(int i=0; i<weights_rad_a.size(); i++) { |
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| 68 | dp[0] = weights_rad_a[i].value; |
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| 69 | // Loop over length weight points |
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| 70 | for(int j=0; j<weights_rad_b.size(); j++) { |
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| 71 | dp[1] = weights_rad_b[j].value; |
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| 72 | |
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| 73 | sum += weights_rad_a[i].weight*weights_rad_b[j].weight |
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[5eb9154] | 74 | * DiamEllip(dp[0], dp[1]); |
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[6b38781] | 75 | norm += weights_rad_a[i].weight*weights_rad_b[j].weight; |
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| 76 | } |
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| 77 | } |
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| 78 | return sum/norm ; |
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| 79 | } |
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| 80 | |
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| 81 | /** |
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| 82 | * Function to evaluate 2D scattering function |
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| 83 | * @param q_x: value of Q along x |
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| 84 | * @param q_y: value of Q along y |
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| 85 | * @return: function value |
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| 86 | */ |
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| 87 | double DiamEllipFunc :: operator()(double qx, double qy) { |
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[770bab1] | 88 | double q = sqrt(qx*qx + qy*qy); |
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| 89 | return (*this).operator()(q); |
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[6b38781] | 90 | } |
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| 91 | /** |
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| 92 | * Function to evaluate 2D scattering function |
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| 93 | * @param pars: parameters of the cylinder |
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| 94 | * @param q: q-value |
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| 95 | * @param phi: angle phi |
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| 96 | * @return: function value |
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| 97 | */ |
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| 98 | double DiamEllipFunc :: evaluate_rphi(double q, double phi) { |
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| 99 | double qx = q*cos(phi); |
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| 100 | double qy = q*sin(phi); |
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| 101 | return (*this).operator()(qx, qy); |
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| 102 | } |
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[5eb9154] | 103 | /** |
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| 104 | * Function to calculate effective radius |
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| 105 | * @return: effective radius value |
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| 106 | */ |
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| 107 | double DiamEllipFunc :: calculate_ER() { |
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| 108 | //NOT implemented yet!!! |
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| 109 | } |
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[6b38781] | 110 | // Testing code |
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| 111 | /* |
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| 112 | int main(void) |
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| 113 | { |
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| 114 | SquareWellModel c = SquareWellModel(); |
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| 115 | |
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| 116 | printf("I(Qx=%g,Qy=%g) = %g\n", 0.001, 0.001, c(0.001, 0.001)); |
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| 117 | printf("I(Q=%g) = %g\n", 0.001, c(0.001)); |
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| 118 | c.radius.dispersion = new GaussianDispersion(); |
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| 119 | c.radius.dispersion->npts = 100; |
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| 120 | c.radius.dispersion->width = 5; |
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| 121 | |
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| 122 | //c.length.dispersion = GaussianDispersion(); |
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| 123 | //c.length.dispersion.npts = 20; |
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| 124 | //c.length.dispersion.width = 65; |
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| 125 | |
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| 126 | printf("I(Q=%g) = %g\n", 0.001, c(0.001)); |
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| 127 | printf("I(Q=%g) = %g\n", 0.001, c(0.001)); |
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| 128 | printf("I(Qx=%g, Qy=%g) = %g\n", 0.001, 0.001, c(0.001, 0.001)); |
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| 129 | printf("I(Q=%g, Phi=%g) = %g\n", 0.00447, .7854, c.evaluate_rphi(sqrt(0.00002), .7854)); |
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| 130 | |
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| 131 | |
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| 132 | |
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| 133 | double i_avg = c(0.01, 0.01); |
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| 134 | double i_1d = c(sqrt(0.0002)); |
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| 135 | |
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| 136 | printf("\nI(Qx=%g, Qy=%g) = %g\n", 0.01, 0.01, i_avg); |
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| 137 | printf("I(Q=%g) = %g\n", sqrt(0.0002), i_1d); |
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| 138 | printf("ratio %g %g\n", i_avg/i_1d, i_1d/i_avg); |
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| 139 | |
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| 140 | |
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| 141 | return 0; |
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| 142 | } |
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| 143 | */ |
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