[230f479] | 1 | // The original code, of which work was not DANSE funded, |
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| 2 | // was provided by J. Cho. |
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| 3 | // And modified to fit sansmodels/sansview: JC |
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| 4 | |
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| 5 | #include <math.h> |
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| 6 | #include "libmultifunc/librefl.h" |
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| 7 | #include <stdio.h> |
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| 8 | #include <stdlib.h> |
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| 9 | #if defined(_MSC_VER) |
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| 10 | #include "winFuncs.h" |
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| 11 | #endif |
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| 12 | |
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| 13 | complex cassign(real, imag) |
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| 14 | double real, imag; |
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| 15 | { |
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| 16 | complex x; |
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| 17 | x.re = real; |
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| 18 | x.im = imag; |
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| 19 | return x; |
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| 20 | } |
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| 21 | |
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| 22 | |
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| 23 | complex cplx_add(x,y) |
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| 24 | complex x,y; |
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| 25 | { |
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| 26 | complex z; |
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| 27 | z.re = x.re + y.re; |
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| 28 | z.im = x.im + y.im; |
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| 29 | return z; |
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| 30 | } |
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| 31 | |
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| 32 | complex rcmult(x,y) |
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| 33 | double x; |
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| 34 | complex y; |
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| 35 | { |
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| 36 | complex z; |
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| 37 | z.re = x*y.re; |
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| 38 | z.im = x*y.im; |
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| 39 | return z; |
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| 40 | } |
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| 41 | |
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| 42 | complex cplx_sub(x,y) |
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| 43 | complex x,y; |
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| 44 | { |
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| 45 | complex z; |
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| 46 | z.re = x.re - y.re; |
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| 47 | z.im = x.im - y.im; |
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| 48 | return z; |
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| 49 | } |
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| 50 | |
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| 51 | |
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| 52 | complex cplx_mult(x,y) |
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| 53 | complex x,y; |
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| 54 | { |
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| 55 | complex z; |
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| 56 | z.re = x.re*y.re - x.im*y.im; |
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| 57 | z.im = x.re*y.im + x.im*y.re; |
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| 58 | return z; |
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| 59 | } |
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| 60 | |
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| 61 | complex cplx_div(x,y) |
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| 62 | complex x,y; |
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| 63 | { |
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| 64 | complex z; |
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| 65 | z.re = (x.re*y.re + x.im*y.im)/(y.re*y.re + y.im*y.im); |
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| 66 | z.im = (x.im*y.re - x.re*y.im)/(y.re*y.re + y.im*y.im); |
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| 67 | return z; |
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| 68 | } |
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| 69 | |
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| 70 | complex cplx_exp(b) |
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| 71 | complex b; |
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| 72 | { |
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| 73 | complex z; |
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| 74 | double br,bi; |
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| 75 | br=b.re; |
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| 76 | bi=b.im; |
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| 77 | z.re = exp(br)*cos(bi); |
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| 78 | z.im = exp(br)*sin(bi); |
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| 79 | return z; |
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| 80 | } |
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| 81 | |
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| 82 | |
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| 83 | complex cplx_sqrt(z) //see Schaum`s Math Handbook p. 22, 6.6 and 6.10 |
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| 84 | complex z; |
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| 85 | { |
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| 86 | complex c; |
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| 87 | double zr,zi,x,y,r,w; |
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| 88 | |
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| 89 | zr=z.re; |
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| 90 | zi=z.im; |
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| 91 | |
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| 92 | if (zr==0.0 && zi==0.0) |
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| 93 | { |
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| 94 | c.re=0.0; |
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| 95 | c.im=0.0; |
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| 96 | return c; |
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| 97 | } |
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| 98 | else |
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| 99 | { |
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| 100 | x=fabs(zr); |
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| 101 | y=fabs(zi); |
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| 102 | if (x>y) |
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| 103 | { |
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| 104 | r=y/x; |
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| 105 | w=sqrt(x)*sqrt(0.5*(1.0+sqrt(1.0+r*r))); |
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| 106 | } |
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| 107 | else |
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| 108 | { |
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| 109 | r=x/y; |
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| 110 | w=sqrt(y)*sqrt(0.5*(r+sqrt(1.0+r*r))); |
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| 111 | } |
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| 112 | if (zr >=0.0) |
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| 113 | { |
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| 114 | c.re=w; |
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| 115 | c.im=zi/(2.0*w); |
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| 116 | } |
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| 117 | else |
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| 118 | { |
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| 119 | c.im=(zi >= 0) ? w : -w; |
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| 120 | c.re=zi/(2.0*c.im); |
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| 121 | } |
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| 122 | return c; |
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| 123 | } |
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| 124 | } |
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| 125 | |
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| 126 | complex cplx_cos(b) |
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| 127 | complex b; |
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| 128 | { |
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| 129 | complex zero,two,z,i,bi,negbi; |
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| 130 | zero = cassign(0.0,0.0); |
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| 131 | two = cassign(2.0,0.0); |
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| 132 | i = cassign(0.0,1.0); |
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| 133 | bi = cplx_mult(b,i); |
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| 134 | negbi = cplx_sub(zero,bi); |
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| 135 | z = cplx_div(cplx_add(cplx_exp(bi),cplx_exp(negbi)),two); |
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| 136 | return z; |
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| 137 | } |
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| 138 | |
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| 139 | // normalized and modified erf |
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| 140 | // | |
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| 141 | // 1 + __ - - - - |
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| 142 | // | _ |
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| 143 | // | _ |
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| 144 | // | __ |
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| 145 | // 0 + - - - |
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| 146 | // |-------------+------------+-- |
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| 147 | // 0 center n_sub ---> |
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| 148 | // ind |
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| 149 | // |
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| 150 | // n_sub = total no. of bins(or sublayers) |
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| 151 | // ind = x position: 0 to max |
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| 152 | // nu = max x to integration |
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| 153 | double err_mod_func(double n_sub, double ind, double nu) |
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| 154 | { |
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| 155 | double center, func; |
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| 156 | if (nu == 0.0) |
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| 157 | nu = 1e-14; |
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| 158 | if (n_sub == 0.0) |
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| 159 | n_sub = 1.0; |
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| 160 | |
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| 161 | |
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| 162 | //ind = (n_sub-1.0)/2.0-1.0 +ind; |
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| 163 | center = n_sub/2.0; |
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| 164 | // transform it so that min(ind) = 0 |
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| 165 | ind -= center; |
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| 166 | // normalize by max limit |
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| 167 | ind /= center; |
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| 168 | // divide by sqrt(2) to get Gaussian func |
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| 169 | nu /= sqrt(2.0); |
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| 170 | ind *= nu; |
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| 171 | // re-scale and normalize it so that max(erf)=1, min(erf)=0 |
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| 172 | func = erf(ind)/erf(nu)/2.0; |
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| 173 | // shift it by +0.5 in y-direction so that min(erf) = 0 |
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| 174 | func += 0.5; |
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| 175 | |
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| 176 | return func; |
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| 177 | } |
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| 178 | double linearfunc(double n_sub, double ind, double nu) |
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| 179 | { |
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| 180 | double bin_size, func; |
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| 181 | if (n_sub == 0.0) |
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| 182 | n_sub = 1.0; |
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| 183 | |
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| 184 | bin_size = 1.0/n_sub; //size of each sub-layer |
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| 185 | // rescale |
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| 186 | ind *= bin_size; |
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| 187 | func = ind; |
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| 188 | |
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| 189 | return func; |
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| 190 | } |
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| 191 | // use the right hand side from the center of power func |
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| 192 | double power_r(double n_sub, double ind, double nu) |
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| 193 | { |
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| 194 | double bin_size,func; |
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| 195 | if (nu == 0.0) |
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| 196 | nu = 1e-14; |
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| 197 | if (n_sub == 0.0) |
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| 198 | n_sub = 1.0; |
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| 199 | |
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| 200 | bin_size = 1.0/n_sub; //size of each sub-layer |
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| 201 | // rescale |
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| 202 | ind *= bin_size; |
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| 203 | func = pow(ind, nu); |
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| 204 | |
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| 205 | return func; |
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| 206 | } |
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| 207 | // use the left hand side from the center of power func |
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| 208 | double power_l(double n_sub, double ind, double nu) |
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| 209 | { |
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| 210 | double bin_size, func; |
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| 211 | if (nu == 0.0) |
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| 212 | nu = 1e-14; |
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| 213 | if (n_sub == 0.0) |
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| 214 | n_sub = 1.0; |
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| 215 | |
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| 216 | bin_size = 1.0/n_sub; //size of each sub-layer |
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| 217 | // rescale |
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| 218 | ind *= bin_size; |
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| 219 | func = 1.0-pow((1.0-ind),nu); |
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| 220 | |
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| 221 | return func; |
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| 222 | } |
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| 223 | // use 1-exp func from x=0 to x=1 |
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| 224 | double exp_r(double n_sub, double ind, double nu) |
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| 225 | { |
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| 226 | double bin_size, func; |
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| 227 | if (nu == 0.0) |
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| 228 | nu = 1e-14; |
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| 229 | if (n_sub == 0.0) |
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| 230 | n_sub = 1.0; |
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| 231 | |
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| 232 | bin_size = 1.0/n_sub; //size of each sub-layer |
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| 233 | // rescale |
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| 234 | ind *= bin_size; |
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| 235 | // modify func so that func(0) =0 and func(max)=1 |
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| 236 | func = 1.0-exp(-nu*ind); |
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| 237 | // normalize by its max |
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| 238 | func /= (1.0-exp(-nu)); |
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| 239 | |
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| 240 | return func; |
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| 241 | } |
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| 242 | |
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| 243 | // use the left hand side mirror image of exp func |
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| 244 | double exp_l(double n_sub, double ind, double nu) |
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| 245 | { |
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| 246 | double bin_size, func; |
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| 247 | if (nu == 0.0) |
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| 248 | nu = 1e-14; |
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| 249 | if (n_sub == 0.0) |
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| 250 | n_sub = 1.0; |
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| 251 | |
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| 252 | bin_size = 1.0/n_sub; //size of each sub-layer |
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| 253 | // rescale |
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| 254 | ind *= bin_size; |
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| 255 | // modify func |
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| 256 | func = exp(-nu*(1.0-ind))-exp(-nu); |
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| 257 | // normalize by its max |
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| 258 | func /= (1.0-exp(-nu)); |
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| 259 | |
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| 260 | return func; |
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| 261 | } |
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| 262 | |
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| 263 | // To select function called |
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| 264 | // At nu = 0 (singular point), call line function |
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| 265 | double intersldfunc(int fun_type, double n_sub, double i, double nu, double sld_l, double sld_r) |
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| 266 | { |
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| 267 | double sld_i, func; |
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| 268 | // this condition protects an error from the singular point |
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| 269 | if (nu == 0.0){ |
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| 270 | nu = 1e-13; |
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| 271 | } |
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| 272 | // select func |
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| 273 | switch(fun_type){ |
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| 274 | case 1 : |
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| 275 | func = power_r(n_sub, i, nu); |
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| 276 | break; |
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| 277 | case 2 : |
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| 278 | func = power_l(n_sub, i, nu); |
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| 279 | break; |
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| 280 | case 3 : |
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| 281 | func = exp_r(n_sub, i, nu); |
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| 282 | break; |
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| 283 | case 4 : |
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| 284 | func = exp_l(n_sub, i, nu); |
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| 285 | break; |
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| 286 | case 5 : |
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| 287 | func = linearfunc(n_sub, i, nu); |
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| 288 | break; |
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| 289 | default: |
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| 290 | func = err_mod_func(n_sub, i, nu); |
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| 291 | break; |
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| 292 | } |
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| 293 | // compute sld |
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| 294 | if (sld_r>sld_l){ |
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| 295 | sld_i = (sld_r-sld_l)*func+sld_l; //sld_cal(sld[i],sld[i+1],n_sub,dz,thick); |
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| 296 | } |
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| 297 | else if (sld_r<sld_l){ |
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| 298 | func = 1.0-func; |
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| 299 | sld_i = (sld_l-sld_r)*func+sld_r; //sld_cal(sld[i],sld[i+1],n_sub,dz,thick); |
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| 300 | } |
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| 301 | else{ |
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| 302 | sld_i = sld_r; |
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| 303 | } |
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| 304 | return sld_i; |
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| 305 | } |
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| 306 | |
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| 307 | |
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| 308 | // used by refl.c |
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| 309 | double interfunc(int fun_type, double n_sub, double i, double sld_l, double sld_r) |
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| 310 | { |
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| 311 | double sld_i, func; |
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| 312 | switch(fun_type){ |
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| 313 | case 0 : |
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| 314 | func = err_mod_func(n_sub, i, 2.5); |
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| 315 | break; |
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| 316 | default: |
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| 317 | func = linearfunc(n_sub, i, 1.0); |
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| 318 | break; |
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| 319 | } |
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| 320 | if (sld_r>sld_l){ |
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| 321 | sld_i = (sld_r-sld_l)*func+sld_l; //sld_cal(sld[i],sld[i+1],n_sub,dz,thick); |
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| 322 | } |
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| 323 | else if (sld_r<sld_l){ |
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| 324 | func = 1.0-func; |
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| 325 | sld_i = (sld_l-sld_r)*func+sld_r; //sld_cal(sld[i],sld[i+1],n_sub,dz,thick); |
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| 326 | } |
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| 327 | else{ |
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| 328 | sld_i = sld_r; |
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| 329 | } |
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| 330 | return sld_i; |
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| 331 | } |
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