1 | double err_mod_func(double n_sub, double ind, double nu); |
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2 | double linearfunc(double n_sub, double ind, double nu); |
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3 | double power_r(double n_sub, double ind, double nu); |
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4 | double power_l(double n_sub, double ind, double nu); |
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5 | double exp_r(double n_sub, double ind, double nu); |
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6 | double exp_l(double n_sub, double ind, double nu); |
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7 | double intersldfunc(int fun_type, double n_sub, double i, double nu, double sld_l, double sld_r); |
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8 | double interfunc(int fun_type, double n_sub, double i, double sld_l, double sld_r); |
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9 | |
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10 | // normalized and modified erf |
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11 | // | |
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12 | // 1 + __ - - - - |
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13 | // | _ |
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14 | // | _ |
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15 | // | __ |
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16 | // 0 + - - - |
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17 | // |-------------+------------+-- |
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18 | // 0 center n_sub ---> |
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19 | // ind |
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20 | // |
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21 | // n_sub = total no. of bins(or sublayers) |
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22 | // ind = x position: 0 to max |
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23 | // nu = max x to integration |
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24 | double err_mod_func(double n_sub, double ind, double nu) |
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25 | { |
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26 | double center, func; |
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27 | if (nu == 0.0) |
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28 | nu = 1.0e-14; |
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29 | if (n_sub == 0.0) |
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30 | n_sub = 1.0; |
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31 | |
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32 | |
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33 | //ind = (n_sub-1.0)/2.0-1.0 +ind; |
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34 | center = n_sub/2.0; |
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35 | // transform it so that min(ind) = 0 |
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36 | ind -= center; |
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37 | // normalize by max limit |
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38 | ind /= center; |
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39 | // divide by sqrt(2) to get Gaussian func |
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40 | nu /= sqrt(2.0); |
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41 | ind *= nu; |
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42 | // re-scale and normalize it so that max(erf)=1, min(erf)=0 |
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43 | func = erf(ind)/erf(nu)/2.0; |
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44 | // shift it by +0.5 in y-direction so that min(erf) = 0 |
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45 | func += 0.5; |
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46 | |
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47 | return func; |
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48 | } |
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49 | double linearfunc(double n_sub, double ind, double nu) |
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50 | { |
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51 | double bin_size, func; |
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52 | if (n_sub == 0.0) |
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53 | n_sub = 1.0; |
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54 | |
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55 | bin_size = 1.0/n_sub; //size of each sub-layer |
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56 | // rescale |
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57 | ind *= bin_size; |
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58 | func = ind; |
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59 | |
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60 | return func; |
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61 | } |
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62 | // use the right hand side from the center of power func |
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63 | double power_r(double n_sub, double ind, double nu) |
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64 | { |
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65 | double bin_size,func; |
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66 | if (nu == 0.0) |
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67 | nu = 1.0e-14; |
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68 | if (n_sub == 0.0) |
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69 | n_sub = 1.0; |
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70 | |
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71 | bin_size = 1.0/n_sub; //size of each sub-layer |
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72 | // rescale |
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73 | ind *= bin_size; |
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74 | func = pow(ind, nu); |
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75 | |
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76 | return func; |
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77 | } |
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78 | // use the left hand side from the center of power func |
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79 | double power_l(double n_sub, double ind, double nu) |
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80 | { |
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81 | double bin_size, func; |
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82 | if (nu == 0.0) |
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83 | nu = 1.0e-14; |
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84 | if (n_sub == 0.0) |
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85 | n_sub = 1.0; |
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86 | |
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87 | bin_size = 1.0/n_sub; //size of each sub-layer |
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88 | // rescale |
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89 | ind *= bin_size; |
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90 | func = 1.0-pow((1.0-ind),nu); |
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91 | |
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92 | return func; |
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93 | } |
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94 | // use 1-exp func from x=0 to x=1 |
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95 | double exp_r(double n_sub, double ind, double nu) |
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96 | { |
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97 | double bin_size, func; |
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98 | if (nu == 0.0) |
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99 | nu = 1.0e-14; |
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100 | if (n_sub == 0.0) |
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101 | n_sub = 1.0; |
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102 | |
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103 | bin_size = 1.0/n_sub; //size of each sub-layer |
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104 | // rescale |
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105 | ind *= bin_size; |
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106 | // modify func so that func(0) =0 and func(max)=1 |
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107 | func = 1.0-exp(-nu*ind); |
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108 | // normalize by its max |
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109 | func /= (1.0-exp(-nu)); |
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110 | |
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111 | return func; |
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112 | } |
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113 | |
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114 | // use the left hand side mirror image of exp func |
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115 | double exp_l(double n_sub, double ind, double nu) |
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116 | { |
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117 | double bin_size, func; |
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118 | if (nu == 0.0) |
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119 | nu = 1.0e-14; |
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120 | if (n_sub == 0.0) |
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121 | n_sub = 1.0; |
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122 | |
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123 | bin_size = 1.0/n_sub; //size of each sub-layer |
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124 | // rescale |
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125 | ind *= bin_size; |
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126 | // modify func |
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127 | func = exp(-nu*(1.0-ind))-exp(-nu); |
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128 | // normalize by its max |
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129 | func /= (1.0-exp(-nu)); |
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130 | |
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131 | return func; |
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132 | } |
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133 | |
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134 | // To select function called |
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135 | // At nu = 0 (singular point), call line function |
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136 | double intersldfunc(int fun_type, double n_sub, double i, double nu, double sld_l, double sld_r) |
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137 | { |
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138 | double sld_i, func; |
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139 | // this condition protects an error from the singular point |
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140 | if (nu == 0.0){ |
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141 | nu = 1.0e-13; |
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142 | } |
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143 | // select func |
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144 | switch(fun_type){ |
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145 | case 1 : |
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146 | func = power_r(n_sub, i, nu); |
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147 | break; |
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148 | case 2 : |
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149 | func = power_l(n_sub, i, nu); |
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150 | break; |
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151 | case 3 : |
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152 | func = exp_r(n_sub, i, nu); |
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153 | break; |
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154 | case 4 : |
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155 | func = exp_l(n_sub, i, nu); |
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156 | break; |
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157 | case 5 : |
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158 | func = linearfunc(n_sub, i, nu); |
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159 | break; |
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160 | default: |
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161 | func = err_mod_func(n_sub, i, nu); |
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162 | break; |
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163 | } |
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164 | // compute sld |
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165 | if (sld_r>sld_l){ |
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166 | sld_i = (sld_r-sld_l)*func+sld_l; //sld_cal(sld[i],sld[i+1],n_sub,dz,thick); |
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167 | } |
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168 | else if (sld_r<sld_l){ |
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169 | func = 1.0-func; |
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170 | sld_i = (sld_l-sld_r)*func+sld_r; //sld_cal(sld[i],sld[i+1],n_sub,dz,thick); |
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171 | } |
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172 | else{ |
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173 | sld_i = sld_r; |
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174 | } |
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175 | return sld_i; |
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176 | } |
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177 | |
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178 | |
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179 | // used by refl.c |
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180 | double interfunc(int fun_type, double n_sub, double i, double sld_l, double sld_r) |
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181 | { |
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182 | double sld_i, func; |
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183 | switch(fun_type){ |
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184 | case 0 : |
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185 | func = err_mod_func(n_sub, i, 2.5); |
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186 | break; |
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187 | default: |
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188 | func = linearfunc(n_sub, i, 1.0); |
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189 | break; |
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190 | } |
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191 | if (sld_r>sld_l){ |
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192 | sld_i = (sld_r-sld_l)*func+sld_l; //sld_cal(sld[i],sld[i+1],n_sub,dz,thick); |
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193 | } |
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194 | else if (sld_r<sld_l){ |
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195 | func = 1.0-func; |
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196 | sld_i = (sld_l-sld_r)*func+sld_r; //sld_cal(sld[i],sld[i+1],n_sub,dz,thick); |
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197 | } |
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198 | else{ |
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199 | sld_i = sld_r; |
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200 | } |
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201 | return sld_i; |
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202 | } |
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