[c724ccd] | 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 "parameters.hh" |
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| 24 | #include <stdio.h> |
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| 25 | using namespace std; |
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[82c11d3] | 26 | #include "polygausscoil.h" |
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[c724ccd] | 27 | |
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| 28 | extern "C" { |
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| 29 | #include "libTwoPhase.h" |
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| 30 | } |
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| 31 | |
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| 32 | Poly_GaussCoil :: Poly_GaussCoil() { |
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| 33 | scale = Parameter(1.0); |
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| 34 | rg = Parameter(60.0, true); |
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| 35 | rg.set_min(0.0); |
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| 36 | poly_m = Parameter(2.0); |
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| 37 | background = Parameter(0.001); |
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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 Poly_GaussCoil :: operator()(double q) { |
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| 47 | double dp[4]; |
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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] = scale(); |
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| 52 | dp[1] = rg(); |
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| 53 | dp[2] = poly_m(); |
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| 54 | dp[3] = 0.0; |
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| 55 | |
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| 56 | // Get the dispersion points for the radius |
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[8569cb9] | 57 | vector<WeightPoint> weights_rad; |
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| 58 | rg.get_weights(weights_rad); |
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[c724ccd] | 59 | |
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| 60 | // Perform the computation, with all weight points |
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| 61 | double sum = 0.0; |
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| 62 | |
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[8569cb9] | 63 | |
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[c724ccd] | 64 | double norm = 0.0; |
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| 65 | double vol = 0.0; |
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| 66 | |
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| 67 | // Loop over radius weight points |
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[34c2649] | 68 | for(size_t i=0; i<weights_rad.size(); i++) { |
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[c724ccd] | 69 | dp[1] = weights_rad[i].value; |
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| 70 | |
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| 71 | //Un-normalize SphereForm by volume |
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| 72 | sum += weights_rad[i].weight |
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| 73 | * PolyGaussCoil(dp, q) * pow(weights_rad[i].value,3); |
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| 74 | //Find average volume |
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| 75 | vol += weights_rad[i].weight |
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| 76 | * pow(weights_rad[i].value,3); |
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| 77 | |
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| 78 | norm += weights_rad[i].weight; |
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| 79 | } |
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| 80 | |
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| 81 | if (vol != 0.0 && norm != 0.0) { |
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| 82 | //Re-normalize by avg volume |
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| 83 | sum = sum/(vol/norm);} |
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| 84 | return sum/norm + background(); |
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[8569cb9] | 85 | |
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[c724ccd] | 86 | |
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| 87 | sum = PolyGaussCoil(dp, q); |
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| 88 | return sum + background(); |
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| 89 | } |
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| 90 | |
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| 91 | /** |
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| 92 | * Function to evaluate 2D scattering function |
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| 93 | * @param q_x: value of Q along x |
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| 94 | * @param q_y: value of Q along y |
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| 95 | * @return: function value |
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| 96 | */ |
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| 97 | double Poly_GaussCoil :: operator()(double qx, double qy) { |
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| 98 | double q = sqrt(qx*qx + qy*qy); |
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| 99 | return (*this).operator()(q); |
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| 100 | } |
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| 101 | |
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| 102 | /** |
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| 103 | * Function to evaluate 2D scattering function |
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| 104 | * @param pars: parameters of the sphere |
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| 105 | * @param q: q-value |
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| 106 | * @param phi: angle phi |
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| 107 | * @return: function value |
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| 108 | */ |
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| 109 | double Poly_GaussCoil :: evaluate_rphi(double q, double phi) { |
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| 110 | return (*this).operator()(q); |
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| 111 | } |
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| 112 | |
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| 113 | /** |
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| 114 | * Function to calculate effective radius |
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| 115 | * @return: effective radius value |
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| 116 | */ |
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| 117 | double Poly_GaussCoil :: calculate_ER() { |
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| 118 | double rad_out = 0.0; |
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| 119 | |
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| 120 | // Perform the computation, with all weight points |
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| 121 | double sum = 0.0; |
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| 122 | double norm = 0.0; |
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| 123 | |
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| 124 | // Get the dispersion points for the radius |
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| 125 | vector<WeightPoint> weights_rad; |
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| 126 | rg.get_weights(weights_rad); |
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| 127 | // Loop over radius weight points to average the radius value |
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[34c2649] | 128 | for(size_t i=0; i<weights_rad.size(); i++) { |
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[c724ccd] | 129 | sum += weights_rad[i].weight |
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| 130 | * weights_rad[i].value; |
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| 131 | norm += weights_rad[i].weight; |
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| 132 | } |
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| 133 | if (norm != 0){ |
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| 134 | //return the averaged value |
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| 135 | rad_out = sum/norm;} |
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| 136 | else{ |
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| 137 | //return normal value |
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| 138 | rad_out = rg();} |
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| 139 | |
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| 140 | return rad_out; |
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| 141 | } |
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