[230f479] | 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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| 26 | #include "lamellar.h" |
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| 27 | |
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| 28 | /* LamellarFFX : calculates the form factor of a lamellar structure - no S(q) effects included |
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| 29 | -NO polydispersion included |
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| 30 | */ |
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| 31 | static double lamellar_kernel(double dp[], double q){ |
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| 32 | double scale,del,sld_bi,sld_sol,contr,bkg; //local variables of coefficient wave |
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| 33 | double inten, qval,Pq; |
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| 34 | double Pi; |
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| 35 | |
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| 36 | |
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| 37 | Pi = 4.0*atan(1.0); |
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| 38 | scale = dp[0]; |
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| 39 | del = dp[1]; |
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| 40 | sld_bi = dp[2]; |
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| 41 | sld_sol = dp[3]; |
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| 42 | bkg = dp[4]; |
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| 43 | qval = q; |
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| 44 | contr = sld_bi -sld_sol; |
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| 45 | |
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| 46 | Pq = 2.0*contr*contr/qval/qval*(1.0-cos(qval*del)); |
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| 47 | |
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| 48 | inten = 2.0*Pi*scale*Pq/(qval*qval); //this is now dimensionless... |
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| 49 | |
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| 50 | inten /= del; //normalize by the thickness (in A) |
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| 51 | |
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| 52 | inten *= 1.0e8; // 1/A to 1/cm |
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| 53 | |
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| 54 | return(inten+bkg); |
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| 55 | } |
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| 56 | |
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| 57 | LamellarModel :: LamellarModel() { |
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| 58 | scale = Parameter(1.0); |
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| 59 | bi_thick = Parameter(50.0, true); |
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| 60 | bi_thick.set_min(0.0); |
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| 61 | sld_bi = Parameter(1.0e-6); |
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| 62 | sld_sol = Parameter(6.3e-6); |
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| 63 | background = Parameter(0.0); |
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| 64 | } |
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| 65 | |
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| 66 | /** |
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| 67 | * Function to evaluate 1D scattering function |
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| 68 | * The NIST IGOR library is used for the actual calculation. |
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| 69 | * @param q: q-value |
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| 70 | * @return: function value |
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| 71 | */ |
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| 72 | double LamellarModel :: operator()(double q) { |
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| 73 | double dp[5]; |
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| 74 | |
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| 75 | // Fill parameter array for IGOR library |
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| 76 | // Add the background after averaging |
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| 77 | dp[0] = scale(); |
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| 78 | dp[1] = bi_thick(); |
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| 79 | dp[2] = sld_bi(); |
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| 80 | dp[3] = sld_sol(); |
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| 81 | dp[4] = 0.0; |
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| 82 | |
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| 83 | // Get the dispersion points for the bi_thick |
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| 84 | vector<WeightPoint> weights_bi_thick; |
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| 85 | bi_thick.get_weights(weights_bi_thick); |
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| 86 | // Perform the computation, with all weight points |
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| 87 | double sum = 0.0; |
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| 88 | double norm = 0.0; |
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| 89 | |
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| 90 | // Loop over short_edgeA weight points |
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| 91 | for(int i=0; i< (int)weights_bi_thick.size(); i++) { |
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| 92 | dp[1] = weights_bi_thick[i].value; |
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| 93 | |
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| 94 | sum += weights_bi_thick[i].weight * lamellar_kernel(dp, q); |
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| 95 | norm += weights_bi_thick[i].weight; |
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| 96 | |
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| 97 | } |
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| 98 | |
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| 99 | return sum/norm + background(); |
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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 q_x: value of Q along x |
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| 105 | * @param q_y: value of Q along y |
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| 106 | * @return: function value |
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| 107 | */ |
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| 108 | |
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| 109 | double LamellarModel :: operator()(double qx, double qy) { |
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| 110 | double q = sqrt(qx*qx + qy*qy); |
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| 111 | return (*this).operator()(q); |
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| 112 | } |
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| 113 | |
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| 114 | /** |
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| 115 | * Function to evaluate 2D scattering function |
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| 116 | * @param pars: parameters of the lamellar |
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| 117 | * @param q: q-value |
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| 118 | * @param phi: angle phi |
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| 119 | * @return: function value |
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| 120 | */ |
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| 121 | double LamellarModel :: evaluate_rphi(double q, double phi) { |
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| 122 | return (*this).operator()(q); |
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| 123 | } |
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| 124 | /** |
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| 125 | * Function to calculate effective radius |
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| 126 | * @return: effective radius value |
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| 127 | */ |
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| 128 | double LamellarModel :: calculate_ER() { |
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| 129 | //NOT implemented yet!!! |
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| 130 | return 0.0; |
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| 131 | } |
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| 132 | double LamellarModel :: calculate_VR() { |
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| 133 | return 1.0; |
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| 134 | } |
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