[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 "fractal.h" |
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[c724ccd] | 27 | |
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| 28 | extern "C" { |
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[82c11d3] | 29 | #include "libTwoPhase.h" |
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[c724ccd] | 30 | } |
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| 31 | |
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| 32 | FractalModel :: FractalModel() { |
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[82c11d3] | 33 | scale = Parameter(1.0); |
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| 34 | radius = Parameter(5.0, true); |
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| 35 | radius.set_min(0.0); |
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| 36 | fractal_dim = Parameter(2.0); |
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| 37 | cor_length = Parameter(100.0); |
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| 38 | sldBlock = Parameter(2.0e-6); |
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| 39 | sldSolv= Parameter(6.35e-6); |
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| 40 | background = Parameter(0.0); |
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[c724ccd] | 41 | } |
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| 42 | |
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| 43 | /** |
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| 44 | * Function to evaluate 1D scattering function |
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| 45 | * The NIST IGOR library is used for the actual calculation. |
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| 46 | * @param q: q-value |
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| 47 | * @return: function value |
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| 48 | */ |
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| 49 | double FractalModel :: operator()(double q) { |
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[82c11d3] | 50 | double dp[7]; |
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| 51 | |
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| 52 | // Fill parameter array for IGOR library |
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| 53 | // Add the background after averaging |
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| 54 | dp[0] = scale(); |
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| 55 | dp[1] = radius(); |
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| 56 | dp[2] = fractal_dim(); |
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| 57 | dp[3] = cor_length(); |
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| 58 | dp[4] = sldBlock(); |
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| 59 | dp[5] = sldSolv(); |
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| 60 | dp[6] = 0.0; |
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| 61 | |
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| 62 | // Get the dispersion points for the radius |
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| 63 | vector<WeightPoint> weights_rad; |
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| 64 | radius.get_weights(weights_rad); |
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| 65 | |
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| 66 | // Perform the computation, with all weight points |
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| 67 | double sum = 0.0; |
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| 68 | double norm = 0.0; |
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| 69 | double vol = 0.0; |
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| 70 | |
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| 71 | // Loop over radius weight points |
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| 72 | for(size_t i=0; i<weights_rad.size(); i++) { |
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| 73 | dp[1] = weights_rad[i].value; |
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| 74 | |
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| 75 | //Un-normalize Fractal by volume |
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| 76 | sum += weights_rad[i].weight |
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| 77 | * Fractal(dp, fabs(q)) * pow(weights_rad[i].value,3); |
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| 78 | //Find average volume |
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| 79 | vol += weights_rad[i].weight |
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| 80 | * pow(weights_rad[i].value,3); |
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| 81 | |
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| 82 | norm += weights_rad[i].weight; |
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| 83 | } |
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| 84 | |
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| 85 | if (vol != 0.0 && norm != 0.0) { |
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| 86 | //Re-normalize by avg volume |
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| 87 | sum = sum/(vol/norm);} |
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| 88 | return sum/norm + background(); |
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[c724ccd] | 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 FractalModel :: operator()(double qx, double qy) { |
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[82c11d3] | 98 | double q = sqrt(qx*qx + qy*qy); |
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| 99 | return (*this).operator()(q); |
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[c724ccd] | 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 FractalModel |
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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 FractalModel :: evaluate_rphi(double q, double phi) { |
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[82c11d3] | 110 | return (*this).operator()(q); |
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[c724ccd] | 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 FractalModel :: calculate_ER() { |
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[82c11d3] | 118 | //NOT implemented yet!!! 'cause None shape Model |
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| 119 | return 0.0; |
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[c724ccd] | 120 | } |
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[e08bd5b] | 121 | double FractalModel :: calculate_VR() { |
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| 122 | return 1.0; |
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| 123 | } |
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