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 | * TODO: add 2D function |
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21 | */ |
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22 | |
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23 | #include <math.h> |
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24 | #include "parameters.hh" |
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25 | #include <stdio.h> |
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26 | using namespace std; |
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27 | |
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28 | extern "C" { |
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29 | #include "libCylinder.h" |
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30 | #include "libStructureFactor.h" |
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31 | } |
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32 | #include "parallelepiped.h" |
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33 | |
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34 | // Convenience parameter structure |
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35 | typedef struct { |
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36 | double scale; |
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37 | double short_a; |
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38 | double short_b; |
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39 | double long_c; |
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40 | double sldPipe; |
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41 | double sldSolv; |
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42 | double background; |
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43 | double parallel_theta; |
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44 | double parallel_phi; |
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45 | double parallel_psi; |
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46 | } ParallelepipedParameters; |
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47 | |
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48 | |
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49 | static double pkernel(double a, double b,double c, double ala, double alb, double alc){ |
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50 | // mu passed in is really mu*sqrt(1-sig^2) |
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51 | double argA,argB,argC,tmp1,tmp2,tmp3; //local variables |
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52 | |
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53 | //handle arg=0 separately, as sin(t)/t -> 1 as t->0 |
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54 | argA = a*ala/2.0; |
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55 | argB = b*alb/2.0; |
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56 | argC = c*alc/2.0; |
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57 | if(argA==0.0) { |
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58 | tmp1 = 1.0; |
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59 | } else { |
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60 | tmp1 = sin(argA)*sin(argA)/argA/argA; |
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61 | } |
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62 | if (argB==0.0) { |
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63 | tmp2 = 1.0; |
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64 | } else { |
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65 | tmp2 = sin(argB)*sin(argB)/argB/argB; |
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66 | } |
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67 | |
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68 | if (argC==0.0) { |
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69 | tmp3 = 1.0; |
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70 | } else { |
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71 | tmp3 = sin(argC)*sin(argC)/argC/argC; |
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72 | } |
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73 | |
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74 | return (tmp1*tmp2*tmp3); |
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75 | |
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76 | } |
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77 | |
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78 | /** |
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79 | * Function to evaluate 2D scattering function |
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80 | * @param pars: parameters of the parallelepiped |
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81 | * @param q: q-value |
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82 | * @param q_x: q_x / q |
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83 | * @param q_y: q_y / q |
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84 | * @return: function value |
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85 | */ |
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86 | static double parallelepiped_analytical_2D_scaled(ParallelepipedParameters *pars, double q, double q_x, double q_y) { |
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87 | double cparallel_x, cparallel_y, cparallel_z, bparallel_x, bparallel_y, parallel_x, parallel_y; |
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88 | double q_z; |
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89 | double alpha, vol, cos_val_c, cos_val_b, cos_val_a, edgeA, edgeB, edgeC; |
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90 | |
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91 | double answer; |
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92 | double pi = 4.0*atan(1.0); |
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93 | |
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94 | //convert angle degree to radian |
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95 | double theta = pars->parallel_theta * pi/180.0; |
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96 | double phi = pars->parallel_phi * pi/180.0; |
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97 | double psi = pars->parallel_psi * pi/180.0; |
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98 | |
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99 | edgeA = pars->short_a; |
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100 | edgeB = pars->short_b; |
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101 | edgeC = pars->long_c; |
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102 | |
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103 | |
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104 | // parallelepiped c axis orientation |
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105 | cparallel_x = sin(theta) * cos(phi); |
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106 | cparallel_y = sin(theta) * sin(phi); |
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107 | cparallel_z = cos(theta); |
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108 | |
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109 | // q vector |
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110 | q_z = 0.0; |
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111 | |
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112 | // Compute the angle btw vector q and the |
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113 | // axis of the parallelepiped |
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114 | cos_val_c = cparallel_x*q_x + cparallel_y*q_y + cparallel_z*q_z; |
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115 | alpha = acos(cos_val_c); |
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116 | |
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117 | // parallelepiped a axis orientation |
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118 | parallel_x = sin(psi);//cos(pars->parallel_theta) * sin(pars->parallel_phi)*sin(pars->parallel_psi); |
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119 | parallel_y = cos(psi);//cos(pars->parallel_theta) * cos(pars->parallel_phi)*cos(pars->parallel_psi); |
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120 | |
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121 | cos_val_a = parallel_x*q_x + parallel_y*q_y; |
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122 | |
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123 | |
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124 | |
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125 | // parallelepiped b axis orientation |
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126 | bparallel_x = sqrt(1.0-sin(theta)*cos(phi))*cos(psi);//cos(pars->parallel_theta) * cos(pars->parallel_phi)* cos(pars->parallel_psi); |
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127 | bparallel_y = sqrt(1.0-sin(theta)*cos(phi))*sin(psi);//cos(pars->parallel_theta) * sin(pars->parallel_phi)* sin(pars->parallel_psi); |
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128 | // axis of the parallelepiped |
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129 | cos_val_b = sin(acos(cos_val_a)) ; |
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130 | |
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131 | |
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132 | |
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133 | // The following test should always pass |
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134 | if (fabs(cos_val_c)>1.0) { |
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135 | printf("parallel_ana_2D: Unexpected error: cos(alpha)>1\n"); |
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136 | return 0; |
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137 | } |
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138 | |
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139 | // Call the IGOR library function to get the kernel |
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140 | answer = pkernel( q*edgeA, q*edgeB, q*edgeC, sin(alpha)*cos_val_a,sin(alpha)*cos_val_b,cos_val_c); |
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141 | |
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142 | // Multiply by contrast^2 |
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143 | answer *= (pars->sldPipe - pars->sldSolv) * (pars->sldPipe - pars->sldSolv); |
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144 | |
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145 | //normalize by cylinder volume |
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146 | //NOTE that for this (Fournet) definition of the integral, one must MULTIPLY by Vparallel |
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147 | vol = edgeA* edgeB * edgeC; |
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148 | answer *= vol; |
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149 | |
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150 | //convert to [cm-1] |
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151 | answer *= 1.0e8; |
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152 | |
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153 | //Scale |
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154 | answer *= pars->scale; |
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155 | |
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156 | // add in the background |
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157 | answer += pars->background; |
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158 | |
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159 | return answer; |
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160 | } |
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161 | |
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162 | /** |
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163 | * Function to evaluate 2D scattering function |
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164 | * @param pars: parameters of the parallelepiped |
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165 | * @param q: q-value |
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166 | * @return: function value |
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167 | */ |
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168 | static double parallelepiped_analytical_2DXY(ParallelepipedParameters *pars, double qx, double qy) { |
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169 | double q; |
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170 | q = sqrt(qx*qx+qy*qy); |
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171 | return parallelepiped_analytical_2D_scaled(pars, q, qx/q, qy/q); |
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172 | } |
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173 | |
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174 | ParallelepipedModel :: ParallelepipedModel() { |
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175 | scale = Parameter(1.0); |
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176 | short_a = Parameter(35.0, true); |
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177 | short_a.set_min(1.0); |
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178 | short_b = Parameter(75.0, true); |
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179 | short_b.set_min(1.0); |
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180 | long_c = Parameter(400.0, true); |
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181 | long_c.set_min(1.0); |
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182 | sldPipe = Parameter(6.3e-6); |
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183 | sldSolv = Parameter(1.0e-6); |
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184 | background = Parameter(0.0); |
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185 | parallel_theta = Parameter(0.0, true); |
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186 | parallel_phi = Parameter(0.0, true); |
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187 | parallel_psi = Parameter(0.0, true); |
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188 | } |
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189 | |
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190 | /** |
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191 | * Function to evaluate 1D scattering function |
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192 | * The NIST IGOR library is used for the actual calculation. |
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193 | * @param q: q-value |
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194 | * @return: function value |
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195 | */ |
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196 | double ParallelepipedModel :: operator()(double q) { |
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197 | double dp[7]; |
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198 | |
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199 | // Fill parameter array for IGOR library |
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200 | // Add the background after averaging |
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201 | dp[0] = scale(); |
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202 | dp[1] = short_a(); |
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203 | dp[2] = short_b(); |
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204 | dp[3] = long_c(); |
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205 | dp[4] = sldPipe(); |
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206 | dp[5] = sldSolv(); |
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207 | dp[6] = 0.0; |
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208 | |
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209 | // Get the dispersion points for the short_edgeA |
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210 | vector<WeightPoint> weights_short_a; |
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211 | short_a.get_weights(weights_short_a); |
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212 | |
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213 | // Get the dispersion points for the longer_edgeB |
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214 | vector<WeightPoint> weights_short_b; |
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215 | short_b.get_weights(weights_short_b); |
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216 | |
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217 | // Get the dispersion points for the longuest_edgeC |
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218 | vector<WeightPoint> weights_long_c; |
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219 | long_c.get_weights(weights_long_c); |
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220 | |
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221 | |
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222 | |
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223 | // Perform the computation, with all weight points |
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224 | double sum = 0.0; |
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225 | double norm = 0.0; |
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226 | double vol = 0.0; |
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227 | |
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228 | // Loop over short_edgeA weight points |
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229 | for(int i=0; i< (int)weights_short_a.size(); i++) { |
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230 | dp[1] = weights_short_a[i].value; |
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231 | |
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232 | // Loop over longer_edgeB weight points |
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233 | for(int j=0; j< (int)weights_short_b.size(); j++) { |
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234 | dp[2] = weights_short_b[j].value; |
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235 | |
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236 | // Loop over longuest_edgeC weight points |
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237 | for(int k=0; k< (int)weights_long_c.size(); k++) { |
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238 | dp[3] = weights_long_c[k].value; |
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239 | //Un-normalize by volume |
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240 | sum += weights_short_a[i].weight * weights_short_b[j].weight |
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241 | * weights_long_c[k].weight * Parallelepiped(dp, q) |
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242 | * weights_short_a[i].value*weights_short_b[j].value |
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243 | * weights_long_c[k].value; |
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244 | //Find average volume |
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245 | vol += weights_short_a[i].weight * weights_short_b[j].weight |
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246 | * weights_long_c[k].weight |
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247 | * weights_short_a[i].value * weights_short_b[j].value |
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248 | * weights_long_c[k].value; |
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249 | |
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250 | norm += weights_short_a[i].weight |
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251 | * weights_short_b[j].weight * weights_long_c[k].weight; |
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252 | } |
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253 | } |
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254 | } |
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255 | if (vol != 0.0 && norm != 0.0) { |
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256 | //Re-normalize by avg volume |
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257 | sum = sum/(vol/norm);} |
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258 | |
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259 | return sum/norm + background(); |
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260 | } |
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261 | /** |
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262 | * Function to evaluate 2D scattering function |
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263 | * @param q_x: value of Q along x |
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264 | * @param q_y: value of Q along y |
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265 | * @return: function value |
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266 | */ |
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267 | double ParallelepipedModel :: operator()(double qx, double qy) { |
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268 | ParallelepipedParameters dp; |
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269 | // Fill parameter array |
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270 | dp.scale = scale(); |
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271 | dp.short_a = short_a(); |
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272 | dp.short_b = short_b(); |
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273 | dp.long_c = long_c(); |
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274 | dp.sldPipe = sldPipe(); |
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275 | dp.sldSolv = sldSolv(); |
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276 | dp.background = 0.0; |
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277 | //dp.background = background(); |
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278 | dp.parallel_theta = parallel_theta(); |
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279 | dp.parallel_phi = parallel_phi(); |
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280 | dp.parallel_psi = parallel_psi(); |
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281 | |
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282 | |
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283 | // Get the dispersion points for the short_edgeA |
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284 | vector<WeightPoint> weights_short_a; |
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285 | short_a.get_weights(weights_short_a); |
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286 | |
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287 | // Get the dispersion points for the longer_edgeB |
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288 | vector<WeightPoint> weights_short_b; |
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289 | short_b.get_weights(weights_short_b); |
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290 | |
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291 | // Get angular averaging for the longuest_edgeC |
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292 | vector<WeightPoint> weights_long_c; |
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293 | long_c.get_weights(weights_long_c); |
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294 | |
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295 | // Get angular averaging for theta |
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296 | vector<WeightPoint> weights_parallel_theta; |
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297 | parallel_theta.get_weights(weights_parallel_theta); |
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298 | |
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299 | // Get angular averaging for phi |
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300 | vector<WeightPoint> weights_parallel_phi; |
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301 | parallel_phi.get_weights(weights_parallel_phi); |
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302 | |
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303 | // Get angular averaging for psi |
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304 | vector<WeightPoint> weights_parallel_psi; |
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305 | parallel_psi.get_weights(weights_parallel_psi); |
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306 | |
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307 | // Perform the computation, with all weight points |
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308 | double sum = 0.0; |
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309 | double norm = 0.0; |
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310 | double norm_vol = 0.0; |
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311 | double vol = 0.0; |
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312 | double pi = 4.0*atan(1.0); |
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313 | // Loop over radius weight points |
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314 | for(int i=0; i< (int)weights_short_a.size(); i++) { |
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315 | dp.short_a = weights_short_a[i].value; |
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316 | |
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317 | // Loop over longer_edgeB weight points |
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318 | for(int j=0; j< (int)weights_short_b.size(); j++) { |
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319 | dp.short_b = weights_short_b[j].value; |
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320 | |
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321 | // Average over longuest_edgeC distribution |
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322 | for(int k=0; k< (int)weights_long_c.size(); k++) { |
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323 | dp.long_c = weights_long_c[k].value; |
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324 | |
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325 | // Average over theta distribution |
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326 | for(int l=0; l< (int)weights_parallel_theta.size(); l++) { |
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327 | dp.parallel_theta = weights_parallel_theta[l].value; |
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328 | |
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329 | // Average over phi distribution |
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330 | for(int m=0; m< (int)weights_parallel_phi.size(); m++) { |
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331 | dp.parallel_phi = weights_parallel_phi[m].value; |
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332 | |
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333 | // Average over phi distribution |
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334 | for(int n=0; n< (int)weights_parallel_psi.size(); n++) { |
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335 | dp.parallel_psi = weights_parallel_psi[n].value; |
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336 | //Un-normalize by volume |
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337 | double _ptvalue = weights_short_a[i].weight |
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338 | * weights_short_b[j].weight |
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339 | * weights_long_c[k].weight |
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340 | * weights_parallel_theta[l].weight |
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341 | * weights_parallel_phi[m].weight |
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342 | * weights_parallel_psi[n].weight |
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343 | * parallelepiped_analytical_2DXY(&dp, qx, qy) |
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344 | * weights_short_a[i].value*weights_short_b[j].value |
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345 | * weights_long_c[k].value; |
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346 | |
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347 | if (weights_parallel_theta.size()>1) { |
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348 | _ptvalue *= fabs(sin(weights_parallel_theta[l].value*pi/180.0)); |
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349 | } |
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350 | sum += _ptvalue; |
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351 | //Find average volume |
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352 | vol += weights_short_a[i].weight |
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353 | * weights_short_b[j].weight |
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354 | * weights_long_c[k].weight |
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355 | * weights_short_a[i].value*weights_short_b[j].value |
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356 | * weights_long_c[k].value; |
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357 | //Find norm for volume |
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358 | norm_vol += weights_short_a[i].weight |
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359 | * weights_short_b[j].weight |
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360 | * weights_long_c[k].weight; |
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361 | |
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362 | norm += weights_short_a[i].weight |
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363 | * weights_short_b[j].weight |
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364 | * weights_long_c[k].weight |
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365 | * weights_parallel_theta[l].weight |
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366 | * weights_parallel_phi[m].weight |
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367 | * weights_parallel_psi[n].weight; |
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368 | } |
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369 | } |
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370 | |
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371 | } |
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372 | } |
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373 | } |
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374 | } |
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375 | // Averaging in theta needs an extra normalization |
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376 | // factor to account for the sin(theta) term in the |
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377 | // integration (see documentation). |
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378 | if (weights_parallel_theta.size()>1) norm = norm / asin(1.0); |
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379 | |
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380 | if (vol != 0.0 && norm_vol != 0.0) { |
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381 | //Re-normalize by avg volume |
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382 | sum = sum/(vol/norm_vol);} |
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383 | |
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384 | return sum/norm + background(); |
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385 | } |
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386 | |
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387 | |
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388 | /** |
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389 | * Function to evaluate 2D scattering function |
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390 | * @param pars: parameters of the cylinder |
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391 | * @param q: q-value |
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392 | * @param phi: angle phi |
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393 | * @return: function value |
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394 | */ |
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395 | double ParallelepipedModel :: evaluate_rphi(double q, double phi) { |
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396 | double qx = q*cos(phi); |
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397 | double qy = q*sin(phi); |
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398 | return (*this).operator()(qx, qy); |
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399 | } |
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400 | /** |
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401 | * Function to calculate effective radius |
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402 | * @return: effective radius value |
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403 | */ |
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404 | double ParallelepipedModel :: calculate_ER() { |
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405 | ParallelepipedParameters dp; |
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406 | dp.short_a = short_a(); |
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407 | dp.short_b = short_b(); |
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408 | dp.long_c = long_c(); |
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409 | double rad_out = 0.0; |
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410 | double pi = 4.0*atan(1.0); |
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411 | double suf_rad = sqrt(dp.short_a*dp.short_b/pi); |
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412 | |
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413 | // Perform the computation, with all weight points |
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414 | double sum = 0.0; |
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415 | double norm = 0.0; |
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416 | |
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417 | // Get the dispersion points for the short_edgeA |
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418 | vector<WeightPoint> weights_short_a; |
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419 | short_a.get_weights(weights_short_a); |
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420 | |
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421 | // Get the dispersion points for the longer_edgeB |
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422 | vector<WeightPoint> weights_short_b; |
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423 | short_b.get_weights(weights_short_b); |
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424 | |
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425 | // Get angular averaging for the longuest_edgeC |
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426 | vector<WeightPoint> weights_long_c; |
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427 | long_c.get_weights(weights_long_c); |
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428 | |
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429 | // Loop over radius weight points |
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430 | for(int i=0; i< (int)weights_short_a.size(); i++) { |
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431 | dp.short_a = weights_short_a[i].value; |
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432 | |
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433 | // Loop over longer_edgeB weight points |
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434 | for(int j=0; j< (int)weights_short_b.size(); j++) { |
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435 | dp.short_b = weights_short_b[j].value; |
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436 | |
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437 | // Average over longuest_edgeC distribution |
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438 | for(int k=0; k< (int)weights_long_c.size(); k++) { |
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439 | dp.long_c = weights_long_c[k].value; |
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440 | //Calculate surface averaged radius |
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441 | //This is rough approximation. |
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442 | suf_rad = sqrt(dp.short_a*dp.short_b/pi); |
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443 | |
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444 | //Note: output of "DiamCyl(dp.length,dp.radius)" is DIAMETER. |
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445 | sum +=weights_short_a[i].weight* weights_short_b[j].weight |
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446 | * weights_long_c[k].weight*DiamCyl(dp.long_c, suf_rad)/2.0; |
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447 | norm += weights_short_a[i].weight* weights_short_b[j].weight*weights_long_c[k].weight; |
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448 | } |
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449 | } |
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450 | } |
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451 | |
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452 | if (norm != 0){ |
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453 | //return the averaged value |
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454 | rad_out = sum/norm;} |
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455 | else{ |
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456 | //return normal value |
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457 | //Note: output of "DiamCyl(length,radius)" is DIAMETER. |
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458 | rad_out = DiamCyl(dp.long_c, suf_rad)/2.0;} |
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459 | return rad_out; |
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460 | |
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461 | } |
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