[e096270] | 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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[c637521] | 25 | #include <stdlib.h> |
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[e096270] | 26 | using namespace std; |
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[c637521] | 27 | #include "onion.h" |
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| 28 | |
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| 29 | // Convenience parameter structure |
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| 30 | typedef struct { |
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| 31 | int n_shells; |
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| 32 | double scale; |
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| 33 | double rad_core0; |
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| 34 | double sld_core0; |
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| 35 | double sld_solv; |
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| 36 | double background; |
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| 37 | double sld_out_shell1; |
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| 38 | double sld_out_shell2; |
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| 39 | double sld_out_shell3; |
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| 40 | double sld_out_shell4; |
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| 41 | double sld_out_shell5; |
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| 42 | double sld_out_shell6; |
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| 43 | double sld_out_shell7; |
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| 44 | double sld_out_shell8; |
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| 45 | double sld_out_shell9; |
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| 46 | double sld_out_shell10; |
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| 47 | double sld_in_shell1; |
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| 48 | double sld_in_shell2; |
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| 49 | double sld_in_shell3; |
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| 50 | double sld_in_shell4; |
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| 51 | double sld_in_shell5; |
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| 52 | double sld_in_shell6; |
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| 53 | double sld_in_shell7; |
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| 54 | double sld_in_shell8; |
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| 55 | double sld_in_shell9; |
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| 56 | double sld_in_shell10; |
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| 57 | |
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| 58 | double A_shell1; |
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| 59 | double A_shell2; |
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| 60 | double A_shell3; |
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| 61 | double A_shell4; |
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| 62 | double A_shell5; |
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| 63 | double A_shell6; |
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| 64 | double A_shell7; |
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| 65 | double A_shell8; |
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| 66 | double A_shell9; |
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| 67 | double A_shell10; |
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| 68 | |
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| 69 | double thick_shell1; |
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| 70 | double thick_shell2; |
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| 71 | double thick_shell3; |
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| 72 | double thick_shell4; |
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| 73 | double thick_shell5; |
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| 74 | double thick_shell6; |
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| 75 | double thick_shell7; |
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| 76 | double thick_shell8; |
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| 77 | double thick_shell9; |
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| 78 | double thick_shell10; |
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| 79 | |
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| 80 | int func_shell1; |
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| 81 | int func_shell2; |
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| 82 | int func_shell3; |
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| 83 | int func_shell4; |
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| 84 | int func_shell5; |
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| 85 | int func_shell6; |
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| 86 | int func_shell7; |
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| 87 | int func_shell8; |
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| 88 | int func_shell9; |
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| 89 | int func_shell10; |
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| 90 | } OnionParameters; |
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| 91 | |
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| 92 | // some details can be found in sld_cal.c |
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| 93 | static double so_kernel(double dp[], double q) { |
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| 94 | int n = dp[0]; |
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| 95 | double scale = dp[1]; |
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| 96 | double rad_core0 = dp[2]; |
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| 97 | double sld_core0 = dp[3]; |
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| 98 | double sld_solv = dp[4]; |
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| 99 | double background = dp[5]; |
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| 100 | int i,j; |
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| 101 | double bes,fun,alpha,f,vol,vol_pre,vol_sub,qr,r,contr,f2; |
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| 102 | double sign; |
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| 103 | double pi; |
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| 104 | double r0 = 0.0; |
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| 105 | |
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| 106 | double *sld_out; |
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| 107 | double *slope; |
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| 108 | double *sld_in; |
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| 109 | double *thick; |
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| 110 | double *A; |
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| 111 | int *fun_type; |
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| 112 | |
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| 113 | sld_out = (double*)malloc((n+2)*sizeof(double)); |
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| 114 | slope = (double*)malloc((n+2)*sizeof(double)); |
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| 115 | sld_in = (double*)malloc((n+2)*sizeof(double)); |
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| 116 | thick = (double*)malloc((n+2)*sizeof(double)); |
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| 117 | A = (double*)malloc((n+2)*sizeof(double)); |
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| 118 | fun_type = (int*)malloc((n+2)*sizeof(int)); |
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| 119 | |
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| 120 | for (i =1; i<=n; i++){ |
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| 121 | sld_out[i] = dp[i+5]; |
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| 122 | sld_in[i] = dp[i+15]; |
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| 123 | A[i] = dp[i+25]; |
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| 124 | thick[i] = dp[i+35]; |
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| 125 | fun_type[i] = dp[i+45]; |
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| 126 | } |
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| 127 | sld_out[0] = sld_core0; |
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| 128 | sld_out[n+1] = sld_solv; |
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| 129 | sld_in[0] = sld_core0; |
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| 130 | sld_in[n+1] = sld_solv; |
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| 131 | thick[0] = rad_core0; |
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| 132 | thick[n+1] = 1e+10; |
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| 133 | A[0] = 0.0; |
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| 134 | A[n+1] = 0.0; |
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| 135 | fun_type[0] = 0; |
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| 136 | fun_type[n+1] = 0; |
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| 137 | |
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| 138 | |
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| 139 | pi = 4.0*atan(1.0); |
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| 140 | f = 0.0; |
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| 141 | r = 0.0; |
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| 142 | vol = 0.0; |
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| 143 | vol_pre = 0.0; |
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| 144 | vol_sub = 0.0; |
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| 145 | |
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| 146 | for (i =0; i<= n+1; i++){ |
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| 147 | if (thick[i] == 0.0){ |
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| 148 | continue; |
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| 149 | } |
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| 150 | if (fun_type[i]== 0 ){ |
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| 151 | slope[i] = 0.0; |
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| 152 | A[i] = 0.0; |
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| 153 | } |
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| 154 | vol_pre = vol; |
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| 155 | switch(fun_type[i]){ |
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| 156 | case 2 : |
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| 157 | r0 = r; |
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| 158 | if (A[i] == 0.0){ |
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| 159 | slope[i] = 0.0; |
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| 160 | } |
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| 161 | else{ |
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| 162 | slope[i] = (sld_out[i]-sld_in[i])/(exp(A[i])-1.0); |
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| 163 | } |
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| 164 | for (j=0; j<2; j++){ |
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| 165 | if ( i == 0 && j == 0){ |
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| 166 | continue; |
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| 167 | } |
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| 168 | if (i == n+1 && j == 1){ |
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| 169 | continue; |
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| 170 | } |
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| 171 | if ( j == 1){ |
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| 172 | sign = 1.0; |
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| 173 | r += thick[i]; |
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| 174 | } |
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| 175 | else{ |
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| 176 | sign = -1.0; |
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| 177 | } |
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| 178 | qr = q * r; |
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| 179 | alpha = A[i] * r/thick[i]; |
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| 180 | fun = 0.0; |
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| 181 | if(qr == 0.0){ |
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| 182 | fun = sign * 1.0; |
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| 183 | bes = sign * 1.0; |
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| 184 | } |
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| 185 | else{ |
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| 186 | if (fabs(A[i]) > 0.0 ){ |
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| 187 | fun = 3.0 * ((alpha*alpha - qr * qr) * sin(qr) - 2.0 * alpha * qr * cos(qr))/ ((alpha * alpha + qr * qr) * (alpha * alpha + qr * qr) * qr); |
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| 188 | fun = fun - 3.0 * (alpha * sin(qr) - qr * cos(qr)) / ((alpha * alpha + qr * qr) * qr); |
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| 189 | fun = - sign *fun; |
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| 190 | bes = sign * 3.0 * (sin(qr) - qr * cos(qr)) / (qr * qr * qr); |
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| 191 | } |
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| 192 | else { |
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| 193 | fun = sign * 3.0 * (sin(qr) - qr * cos(qr)) / (qr * qr * qr); |
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| 194 | bes = sign * 3.0 * (sin(qr) - qr * cos(qr)) / (qr * qr * qr); |
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| 195 | } |
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| 196 | } |
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| 197 | contr = slope[i]*exp(A[i]*(r-r0)/thick[i]); |
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| 198 | |
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| 199 | vol = 4.0 * pi / 3.0 * r * r * r; |
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| 200 | //if (j == 1 && fabs(sld_in[i]-sld_solv) < 1e-04*fabs(sld_solv) && A[i]==0.0){ |
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| 201 | // vol_sub += (vol_pre - vol); |
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| 202 | //} |
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| 203 | f += vol * (contr * (fun) + (sld_in[i]-slope[i]) * bes); |
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| 204 | } |
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| 205 | break; |
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| 206 | default : |
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| 207 | if (fun_type[i]==0){ |
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| 208 | slope[i] = 0.0; |
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| 209 | } |
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| 210 | else{ |
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| 211 | slope[i]= (sld_out[i] -sld_in[i])/thick[i]; |
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| 212 | } |
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| 213 | contr = sld_in[i]-slope[i]*r; |
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| 214 | for (j=0; j<2; j++){ |
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| 215 | if ( i == 0 && j == 0){ |
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| 216 | continue; |
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| 217 | } |
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| 218 | if (i == n+1 && j == 1){ |
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| 219 | continue; |
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| 220 | } |
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| 221 | if ( j == 1){ |
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| 222 | sign = 1.0; |
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| 223 | r += thick[i]; |
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| 224 | } |
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| 225 | else{ |
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| 226 | sign = -1.0; |
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| 227 | } |
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| 228 | |
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| 229 | qr = q * r; |
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| 230 | fun = 0.0; |
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| 231 | if(qr == 0.0){ |
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| 232 | bes = sign * 1.0; |
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| 233 | } |
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| 234 | else{ |
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| 235 | bes = sign * 3.0 * (sin(qr) - qr * cos(qr)) / (qr * qr * qr); |
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| 236 | if (fabs(slope[i]) > 0.0 ){ |
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| 237 | fun = sign * 3.0 * r * (2.0*qr*sin(qr)-((qr*qr)-2.0)*cos(qr))/(qr * qr * qr * qr); |
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| 238 | } |
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| 239 | } |
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| 240 | vol = 4.0 * pi / 3.0 * r * r * r; |
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| 241 | //if (j == 1 && fabs(sld_in[i]-sld_solv) < 1e-04*fabs(sld_solv) && fun_type[i]==0){ |
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| 242 | // vol_sub += (vol_pre - vol); |
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| 243 | //} |
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| 244 | f += vol * (bes * contr + fun * slope[i]); |
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| 245 | } |
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| 246 | break; |
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| 247 | } |
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| 248 | |
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| 249 | } |
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| 250 | //vol += vol_sub; |
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| 251 | f2 = f * f / vol * 1.0e8; |
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| 252 | f2 *= scale; |
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| 253 | f2 += background; |
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| 254 | |
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| 255 | free(sld_out); |
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| 256 | free(slope); |
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| 257 | free(sld_in); |
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| 258 | free(thick); |
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| 259 | free(A); |
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| 260 | free(fun_type); |
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| 261 | |
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| 262 | return (f2); |
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[e096270] | 263 | } |
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| 264 | |
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| 265 | |
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[c637521] | 266 | OnionModel :: OnionModel() { |
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| 267 | n_shells = Parameter(1.0); |
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| 268 | scale = Parameter(1.0); |
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| 269 | rad_core0 = Parameter(200.0); |
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| 270 | sld_core0 = Parameter(1e-06); |
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| 271 | sld_solv = Parameter(6.4e-06); |
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| 272 | background = Parameter(0.0); |
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| 273 | |
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| 274 | sld_out_shell1 = Parameter(1.0e-06); |
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| 275 | sld_out_shell2 = Parameter(1.0e-06); |
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| 276 | sld_out_shell3 = Parameter(1.0e-06); |
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| 277 | sld_out_shell4 = Parameter(1.0e-06); |
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| 278 | sld_out_shell5 = Parameter(1.0e-06); |
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| 279 | sld_out_shell6 = Parameter(1.0e-06); |
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| 280 | sld_out_shell7 = Parameter(1.0e-06); |
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| 281 | sld_out_shell8 = Parameter(1.0e-06); |
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| 282 | sld_out_shell9 = Parameter(1.0e-06); |
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| 283 | sld_out_shell10 = Parameter(1.0e-06); |
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| 284 | |
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| 285 | sld_in_shell1 = Parameter(2.3e-06); |
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| 286 | sld_in_shell2 = Parameter(2.6e-06); |
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| 287 | sld_in_shell3 = Parameter(2.9e-06); |
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| 288 | sld_in_shell4 = Parameter(3.2e-06); |
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| 289 | sld_in_shell5 = Parameter(3.5e-06); |
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| 290 | sld_in_shell6 = Parameter(3.8e-06); |
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| 291 | sld_in_shell7 = Parameter(4.1e-06); |
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| 292 | sld_in_shell8 = Parameter(4.4e-06); |
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| 293 | sld_in_shell9 = Parameter(4.7e-06); |
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| 294 | sld_in_shell10 = Parameter(5.0e-06); |
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| 295 | |
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| 296 | A_shell1 = Parameter(1.0); |
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| 297 | A_shell2 = Parameter(1.0); |
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| 298 | A_shell3 = Parameter(1.0); |
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| 299 | A_shell4 = Parameter(1.0); |
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| 300 | A_shell5 = Parameter(1.0); |
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| 301 | A_shell6 = Parameter(1.0); |
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| 302 | A_shell7 = Parameter(1.0); |
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| 303 | A_shell8 = Parameter(1.0); |
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| 304 | A_shell9 = Parameter(1.0); |
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| 305 | A_shell10 = Parameter(1.0); |
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| 306 | |
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| 307 | thick_shell1 = Parameter(50.0); |
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| 308 | thick_shell2 = Parameter(50.0); |
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| 309 | thick_shell3 = Parameter(50.0); |
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| 310 | thick_shell4 = Parameter(50.0); |
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| 311 | thick_shell5 = Parameter(50.0); |
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| 312 | thick_shell6 = Parameter(50.0); |
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| 313 | thick_shell7 = Parameter(50.0); |
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| 314 | thick_shell8 = Parameter(50.0); |
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| 315 | thick_shell9 = Parameter(50.0); |
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| 316 | thick_shell10 = Parameter(50.0); |
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| 317 | |
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| 318 | func_shell1 = Parameter(2); |
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| 319 | func_shell2 = Parameter(2); |
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| 320 | func_shell3 = Parameter(2); |
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| 321 | func_shell4 = Parameter(2); |
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| 322 | func_shell5 = Parameter(2); |
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| 323 | func_shell6 = Parameter(2); |
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| 324 | func_shell7 = Parameter(2); |
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| 325 | func_shell8 = Parameter(2); |
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| 326 | func_shell9 = Parameter(2); |
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| 327 | func_shell10 = Parameter(2); |
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[e096270] | 328 | } |
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| 329 | |
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| 330 | /** |
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| 331 | * Function to evaluate 1D scattering function |
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| 332 | * The NIST IGOR library is used for the actual calculation. |
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| 333 | * @param q: q-value |
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| 334 | * @return: function value |
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| 335 | */ |
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| 336 | double OnionModel :: operator()(double q) { |
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[c637521] | 337 | double dp[56]; |
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| 338 | // Fill parameter array for IGOR library |
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| 339 | // Add the background after averaging |
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| 340 | dp[0] = n_shells(); |
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| 341 | dp[1] = scale(); |
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| 342 | dp[2] = rad_core0(); |
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| 343 | dp[3] = sld_core0(); |
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| 344 | dp[4] = sld_solv(); |
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| 345 | dp[5] = 0.0; |
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| 346 | |
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| 347 | dp[6] = sld_out_shell1(); |
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| 348 | dp[7] = sld_out_shell2(); |
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| 349 | dp[8] = sld_out_shell3(); |
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| 350 | dp[9] = sld_out_shell4(); |
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| 351 | dp[10] = sld_out_shell5(); |
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| 352 | dp[11] = sld_out_shell6(); |
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| 353 | dp[12] = sld_out_shell7(); |
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| 354 | dp[13] = sld_out_shell8(); |
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| 355 | dp[14] = sld_out_shell9(); |
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| 356 | dp[15] = sld_out_shell10(); |
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| 357 | |
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| 358 | dp[16] = sld_in_shell1(); |
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| 359 | dp[17] = sld_in_shell2(); |
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| 360 | dp[18] = sld_in_shell3(); |
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| 361 | dp[19] = sld_in_shell4(); |
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| 362 | dp[20] = sld_in_shell5(); |
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| 363 | dp[21] = sld_in_shell6(); |
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| 364 | dp[22] = sld_in_shell7(); |
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| 365 | dp[23] = sld_in_shell8(); |
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| 366 | dp[24] = sld_in_shell9(); |
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| 367 | dp[25] = sld_in_shell10(); |
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| 368 | |
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| 369 | dp[26] = A_shell1(); |
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| 370 | dp[27] = A_shell2(); |
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| 371 | dp[28] = A_shell3(); |
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| 372 | dp[29] = A_shell4(); |
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| 373 | dp[30] = A_shell5(); |
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| 374 | dp[31] = A_shell6(); |
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| 375 | dp[32] = A_shell7(); |
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| 376 | dp[33] = A_shell8(); |
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| 377 | dp[34] = A_shell9(); |
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| 378 | dp[35] = A_shell10(); |
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| 379 | |
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| 380 | dp[36] = thick_shell1(); |
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| 381 | dp[37] = thick_shell2(); |
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| 382 | dp[38] = thick_shell3(); |
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| 383 | dp[39] = thick_shell4(); |
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| 384 | dp[40] = thick_shell5(); |
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| 385 | dp[41] = thick_shell6(); |
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| 386 | dp[42] = thick_shell7(); |
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| 387 | dp[43] = thick_shell8(); |
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| 388 | dp[44] = thick_shell9(); |
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| 389 | dp[45] = thick_shell10(); |
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| 390 | |
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| 391 | dp[46] = func_shell1(); |
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| 392 | dp[47] = func_shell2(); |
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| 393 | dp[48] = func_shell3(); |
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| 394 | dp[49] = func_shell4(); |
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| 395 | dp[50] = func_shell5(); |
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| 396 | dp[51] = func_shell6(); |
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| 397 | dp[52] = func_shell7(); |
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| 398 | dp[53] = func_shell8(); |
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| 399 | dp[54] = func_shell9(); |
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| 400 | dp[55] = func_shell10(); |
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| 401 | |
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| 402 | |
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| 403 | // Get the dispersion points for the radius |
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| 404 | vector<WeightPoint> weights_rad; |
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| 405 | rad_core0.get_weights(weights_rad); |
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| 406 | |
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| 407 | // Get the dispersion points for the thick 1 |
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| 408 | vector<WeightPoint> weights_s1; |
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| 409 | thick_shell1.get_weights(weights_s1); |
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| 410 | |
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| 411 | // Get the dispersion points for the thick 2 |
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| 412 | vector<WeightPoint> weights_s2; |
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| 413 | thick_shell2.get_weights(weights_s2); |
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| 414 | |
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| 415 | // Get the dispersion points for the thick 3 |
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| 416 | vector<WeightPoint> weights_s3; |
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| 417 | thick_shell3.get_weights(weights_s3); |
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| 418 | |
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| 419 | // Get the dispersion points for the thick 4 |
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| 420 | vector<WeightPoint> weights_s4; |
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| 421 | thick_shell4.get_weights(weights_s4); |
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| 422 | |
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| 423 | // Get the dispersion points for the thick 5 |
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| 424 | vector<WeightPoint> weights_s5; |
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| 425 | thick_shell5.get_weights(weights_s5); |
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| 426 | |
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| 427 | // Get the dispersion points for the thick 6 |
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| 428 | vector<WeightPoint> weights_s6; |
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| 429 | thick_shell6.get_weights(weights_s6); |
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| 430 | |
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| 431 | // Get the dispersion points for the thick 7 |
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| 432 | vector<WeightPoint> weights_s7; |
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| 433 | thick_shell7.get_weights(weights_s7); |
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| 434 | |
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| 435 | // Get the dispersion points for the thick 8 |
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| 436 | vector<WeightPoint> weights_s8; |
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| 437 | thick_shell8.get_weights(weights_s8); |
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| 438 | // Get the dispersion points for the thick 9 |
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| 439 | vector<WeightPoint> weights_s9; |
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| 440 | thick_shell9.get_weights(weights_s9); |
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| 441 | |
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| 442 | // Get the dispersion points for the thick 10 |
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| 443 | vector<WeightPoint> weights_s10; |
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| 444 | thick_shell10.get_weights(weights_s10); |
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| 445 | |
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| 446 | |
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| 447 | // Perform the computation, with all weight points |
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| 448 | double sum = 0.0; |
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| 449 | double norm = 0.0; |
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| 450 | double vol = 0.0; |
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| 451 | |
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| 452 | // Loop over radius weight points |
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| 453 | for(size_t i=0; i<weights_rad.size(); i++) { |
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| 454 | dp[2] = weights_rad[i].value; |
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| 455 | // Loop over radius weight points |
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| 456 | for(size_t j=0; j<weights_s1.size(); j++) { |
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| 457 | dp[36] = weights_s1[j].value; |
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| 458 | // Loop over radius weight points |
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| 459 | for(size_t k=0; k<weights_s2.size(); k++) { |
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| 460 | dp[37] = weights_s2[k].value; |
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| 461 | // Loop over radius weight points |
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| 462 | for(size_t l=0; l<weights_s3.size(); l++) { |
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| 463 | dp[38] = weights_s3[l].value; |
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| 464 | // Loop over radius weight points |
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| 465 | for(size_t m=0; m<weights_s4.size(); m++) { |
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| 466 | dp[39] = weights_s4[m].value; |
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| 467 | for(size_t n=0; n<weights_s5.size(); n++) { |
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| 468 | dp[40] = weights_s5[n].value; |
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| 469 | for(size_t o=0; o<weights_s6.size(); o++) { |
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| 470 | dp[41] = weights_s6[o].value; |
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| 471 | for(size_t p=0; p<weights_s7.size(); p++) { |
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| 472 | dp[42] = weights_s7[p].value; |
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| 473 | for(size_t t=0; t<weights_s8.size(); t++) { |
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| 474 | dp[43] = weights_s8[t].value; |
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| 475 | for(size_t r=0; r<weights_s9.size(); r++) { |
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| 476 | dp[44] = weights_s9[r].value; |
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| 477 | for(size_t s=0; s<weights_s10.size(); s++) { |
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| 478 | dp[45] = weights_s10[s].value; |
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| 479 | //Un-normalize Shells by volume |
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| 480 | sum += weights_rad[i].weight*weights_s1[j].weight*weights_s2[k].weight*weights_s3[l].weight*weights_s4[m].weight |
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| 481 | *weights_s5[n].weight*weights_s6[o].weight*weights_s7[p].weight*weights_s8[t].weight |
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| 482 | *weights_s9[r].weight*weights_s10[s].weight |
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| 483 | * so_kernel(dp,q) * pow((weights_rad[i].value+weights_s1[j].value+weights_s2[k].value+weights_s3[l].value+weights_s4[m].value |
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| 484 | +weights_s5[n].value+weights_s6[o].value+weights_s7[p].value+weights_s8[t].value |
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| 485 | +weights_s9[r].value+weights_s10[s].value),3.0); |
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| 486 | //Find average volume |
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| 487 | vol += weights_rad[i].weight*weights_s1[j].weight*weights_s2[k].weight*weights_s3[l].weight*weights_s4[m].weight |
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| 488 | *weights_s5[n].weight*weights_s6[o].weight*weights_s7[p].weight*weights_s8[t].weight |
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| 489 | *weights_s9[r].weight*weights_s10[s].weight |
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| 490 | * pow((weights_rad[i].value+weights_s1[j].value+weights_s2[k].value+weights_s3[l].value+weights_s4[m].value |
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| 491 | +weights_s5[n].value+weights_s6[o].value+weights_s7[p].value+weights_s8[t].value |
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| 492 | +weights_s9[r].value+weights_s10[s].value),3.0); |
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| 493 | norm += weights_rad[i].weight*weights_s1[j].weight*weights_s2[k].weight*weights_s3[l].weight*weights_s4[m].weight |
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| 494 | *weights_s5[n].weight*weights_s6[o].weight*weights_s7[p].weight*weights_s8[t].weight |
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| 495 | *weights_s9[r].weight*weights_s10[s].weight; |
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| 496 | } |
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| 497 | } |
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| 498 | } |
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| 499 | } |
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| 500 | } |
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| 501 | } |
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| 502 | } |
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| 503 | } |
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| 504 | } |
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| 505 | } |
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| 506 | } |
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| 507 | |
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| 508 | if (vol != 0.0 && norm != 0.0) { |
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| 509 | //Re-normalize by avg volume |
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| 510 | sum = sum/(vol/norm);} |
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| 511 | |
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| 512 | return sum/norm + background(); |
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[e096270] | 513 | } |
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| 514 | |
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| 515 | /** |
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| 516 | * Function to evaluate 2D scattering function |
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| 517 | * @param q_x: value of Q along x |
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| 518 | * @param q_y: value of Q along y |
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| 519 | * @return: function value |
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| 520 | */ |
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| 521 | double OnionModel :: operator()(double qx, double qy) { |
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[c637521] | 522 | double q = sqrt(qx*qx + qy*qy); |
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| 523 | return (*this).operator()(q); |
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[e096270] | 524 | } |
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| 525 | |
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| 526 | /** |
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| 527 | * Function to evaluate 2D scattering function |
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| 528 | * @param pars: parameters of the sphere |
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| 529 | * @param q: q-value |
---|
| 530 | * @param phi: angle phi |
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| 531 | * @return: function value |
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| 532 | */ |
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| 533 | double OnionModel :: evaluate_rphi(double q, double phi) { |
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[c637521] | 534 | return (*this).operator()(q); |
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[e096270] | 535 | } |
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| 536 | |
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| 537 | /** |
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| 538 | * Function to calculate effective radius |
---|
| 539 | * @return: effective radius value |
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| 540 | */ |
---|
| 541 | double OnionModel :: calculate_ER() { |
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[c637521] | 542 | OnionParameters dp; |
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| 543 | dp.rad_core0 = rad_core0(); |
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| 544 | dp.thick_shell1 = thick_shell1(); |
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| 545 | dp.thick_shell2 = thick_shell2(); |
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| 546 | dp.thick_shell3 = thick_shell3(); |
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| 547 | dp.thick_shell4 = thick_shell4(); |
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| 548 | dp.thick_shell5 = thick_shell5(); |
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| 549 | dp.thick_shell6 = thick_shell6(); |
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| 550 | dp.thick_shell7 = thick_shell7(); |
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| 551 | dp.thick_shell8 = thick_shell8(); |
---|
| 552 | dp.thick_shell9 = thick_shell9(); |
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| 553 | dp.thick_shell10 = thick_shell10(); |
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| 554 | |
---|
| 555 | double rad_out = 0.0; |
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| 556 | // Perform the computation, with all weight points |
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| 557 | double sum = 0.0; |
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| 558 | double norm = 0.0; |
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| 559 | |
---|
| 560 | // Get the dispersion points for the radius |
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| 561 | vector<WeightPoint> weights_rad; |
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| 562 | rad_core0.get_weights(weights_rad); |
---|
| 563 | |
---|
| 564 | // Get the dispersion points for the thick 1 |
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| 565 | vector<WeightPoint> weights_s1; |
---|
| 566 | thick_shell1.get_weights(weights_s1); |
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| 567 | |
---|
| 568 | // Get the dispersion points for the thick 2 |
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| 569 | vector<WeightPoint> weights_s2; |
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| 570 | thick_shell2.get_weights(weights_s2); |
---|
| 571 | |
---|
| 572 | // Get the dispersion points for the thick 3 |
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| 573 | vector<WeightPoint> weights_s3; |
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| 574 | thick_shell3.get_weights(weights_s3); |
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| 575 | |
---|
| 576 | // Get the dispersion points for the thick 4 |
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| 577 | vector<WeightPoint> weights_s4; |
---|
| 578 | thick_shell4.get_weights(weights_s4); |
---|
| 579 | // Get the dispersion points for the thick 5 |
---|
| 580 | vector<WeightPoint> weights_s5; |
---|
| 581 | thick_shell5.get_weights(weights_s5); |
---|
| 582 | |
---|
| 583 | // Get the dispersion points for the thick 6 |
---|
| 584 | vector<WeightPoint> weights_s6; |
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| 585 | thick_shell6.get_weights(weights_s6); |
---|
| 586 | |
---|
| 587 | // Get the dispersion points for the thick 7 |
---|
| 588 | vector<WeightPoint> weights_s7; |
---|
| 589 | thick_shell7.get_weights(weights_s7); |
---|
| 590 | |
---|
| 591 | // Get the dispersion points for the thick 8 |
---|
| 592 | vector<WeightPoint> weights_s8; |
---|
| 593 | thick_shell8.get_weights(weights_s8); |
---|
| 594 | // Get the dispersion points for the thick 9 |
---|
| 595 | vector<WeightPoint> weights_s9; |
---|
| 596 | thick_shell9.get_weights(weights_s9); |
---|
| 597 | |
---|
| 598 | // Get the dispersion points for the thick 10 |
---|
| 599 | vector<WeightPoint> weights_s10; |
---|
| 600 | thick_shell10.get_weights(weights_s10); |
---|
| 601 | |
---|
| 602 | |
---|
| 603 | // Loop over radius weight points |
---|
| 604 | for(size_t i=0; i<weights_rad.size(); i++) { |
---|
| 605 | dp.rad_core0 = weights_rad[i].value; |
---|
| 606 | // Loop over radius weight points |
---|
| 607 | for(size_t j=0; j<weights_s1.size(); j++) { |
---|
| 608 | dp.thick_shell1 = weights_s1[j].value; |
---|
| 609 | // Loop over radius weight points |
---|
| 610 | for(size_t k=0; k<weights_s2.size(); k++) { |
---|
| 611 | dp.thick_shell2 = weights_s2[k].value; |
---|
| 612 | // Loop over radius weight points |
---|
| 613 | for(size_t l=0; l<weights_s3.size(); l++) { |
---|
| 614 | dp.thick_shell3 = weights_s3[l].value; |
---|
| 615 | // Loop over radius weight points |
---|
| 616 | for(size_t m=0; m<weights_s4.size(); m++) { |
---|
| 617 | dp.thick_shell4 = weights_s4[m].value; |
---|
| 618 | // Loop over radius weight points |
---|
| 619 | for(size_t n=0; j<weights_s5.size(); n++) { |
---|
| 620 | dp.thick_shell5 = weights_s5[n].value; |
---|
| 621 | // Loop over radius weight points |
---|
| 622 | for(size_t o=0; k<weights_s6.size(); o++) { |
---|
| 623 | dp.thick_shell6 = weights_s6[o].value; |
---|
| 624 | // Loop over radius weight points |
---|
| 625 | for(size_t p=0; l<weights_s7.size(); p++) { |
---|
| 626 | dp.thick_shell7 = weights_s7[p].value; |
---|
| 627 | // Loop over radius weight points |
---|
| 628 | for(size_t t=0; m<weights_s8.size(); t++) { |
---|
| 629 | dp.thick_shell8 = weights_s8[t].value; |
---|
| 630 | // Loop over radius weight points |
---|
| 631 | for(size_t r=0; l<weights_s9.size(); r++) { |
---|
| 632 | dp.thick_shell8 = weights_s9[r].value; |
---|
| 633 | // Loop over radius weight points |
---|
| 634 | for(size_t s=0; m<weights_s10.size(); s++) { |
---|
| 635 | dp.thick_shell10 = weights_s10[s].value; |
---|
| 636 | //Un-normalize FourShell by volume |
---|
| 637 | sum += weights_rad[i].weight*weights_s1[j].weight*weights_s2[k].weight*weights_s3[l].weight*weights_s4[m].weight |
---|
| 638 | *weights_s5[n].weight*weights_s6[o].weight*weights_s7[p].weight*weights_s8[t].weight |
---|
| 639 | *weights_s9[r].weight*weights_s10[s].weight |
---|
| 640 | * (dp.rad_core0+dp.thick_shell1+dp.thick_shell2+dp.thick_shell3+dp.thick_shell4+dp.thick_shell5 |
---|
| 641 | +dp.thick_shell6+dp.thick_shell7+dp.thick_shell8+dp.thick_shell9+dp.thick_shell10); |
---|
| 642 | norm += weights_rad[i].weight*weights_s1[j].weight*weights_s2[k].weight*weights_s3[l].weight |
---|
| 643 | *weights_s4[m].weight*weights_s5[n].weight*weights_s6[o].weight*weights_s7[p].weight |
---|
| 644 | *weights_s8[t].weight*weights_s9[r].weight*weights_s10[s].weight; |
---|
| 645 | } |
---|
| 646 | } |
---|
| 647 | } |
---|
| 648 | } |
---|
| 649 | } |
---|
| 650 | } |
---|
| 651 | } |
---|
| 652 | } |
---|
| 653 | } |
---|
| 654 | } |
---|
| 655 | } |
---|
| 656 | |
---|
| 657 | if (norm != 0){ |
---|
| 658 | //return the averaged value |
---|
| 659 | rad_out = sum/norm;} |
---|
| 660 | else{ |
---|
| 661 | //return normal value |
---|
| 662 | rad_out = dp.rad_core0+dp.thick_shell1+dp.thick_shell2+dp.thick_shell3+dp.thick_shell4 |
---|
| 663 | +dp.thick_shell5+dp.thick_shell6+dp.thick_shell7+dp.thick_shell8+dp.thick_shell9+dp.thick_shell10;} |
---|
| 664 | return rad_out; |
---|
[e096270] | 665 | } |
---|