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 | #include "lamellarPS_HG.h" |
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28 | |
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29 | extern "C" { |
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30 | #include "libCylinder.h" |
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31 | } |
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32 | |
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33 | LamellarPSHGModel :: LamellarPSHGModel() { |
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34 | scale = Parameter(1.0); |
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35 | spacing = Parameter(40.0, true); |
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36 | spacing.set_min(0.0); |
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37 | deltaT = Parameter(10.0, true); |
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38 | deltaT.set_min(0.0); |
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39 | deltaH = Parameter(2.0, true); |
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40 | deltaH.set_min(0.0); |
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41 | sld_tail = Parameter(4e-7); |
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42 | sld_head = Parameter(2e-6); |
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43 | sld_solvent = Parameter(6e-6); |
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44 | n_plates = Parameter(30); |
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45 | caille = Parameter(0.001); |
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46 | background = Parameter(0.001); |
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47 | |
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48 | } |
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49 | |
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50 | /** |
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51 | * Function to evaluate 1D scattering function |
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52 | * The NIST IGOR library is used for the actual calculation. |
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53 | * @param q: q-value |
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54 | * @return: function value |
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55 | */ |
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56 | double LamellarPSHGModel :: operator()(double q) { |
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57 | double dp[10]; |
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58 | |
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59 | // Fill parameter array for IGOR library |
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60 | // Add the background after averaging |
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61 | dp[0] = scale(); |
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62 | dp[1] = spacing(); |
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63 | dp[2] = deltaT(); |
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64 | dp[3] = deltaH(); |
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65 | dp[4] = sld_tail(); |
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66 | dp[5] = sld_head(); |
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67 | dp[6] = sld_solvent(); |
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68 | dp[7] = n_plates(); |
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69 | dp[8] = caille(); |
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70 | dp[9] = 0.0; |
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71 | |
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72 | |
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73 | // Get the dispersion points for (deltaT) thickness of the tail |
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74 | vector<WeightPoint> weights_deltaT; |
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75 | deltaT.get_weights(weights_deltaT); |
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76 | |
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77 | // Get the dispersion points for (deltaH) thickness of the head |
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78 | vector<WeightPoint> weights_deltaH; |
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79 | deltaH.get_weights(weights_deltaH); |
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80 | |
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81 | // Get the dispersion points for spacing |
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82 | vector<WeightPoint> weights_spacing; |
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83 | spacing.get_weights(weights_spacing); |
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84 | |
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85 | // Perform the computation, with all weight points |
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86 | double sum = 0.0; |
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87 | double norm = 0.0; |
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88 | |
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89 | // Loop over deltaT weight points |
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90 | for(int i=0; i< (int)weights_deltaT.size(); i++) { |
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91 | dp[2] = weights_deltaT[i].value; |
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92 | |
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93 | // Loop over deltaH weight points |
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94 | for(int j=0; j< (int)weights_deltaH.size(); j++) { |
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95 | dp[3] = weights_deltaH[j].value; |
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96 | // Loop over spacing weight points |
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97 | for(int k=0; k< (int)weights_spacing.size(); k++) { |
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98 | dp[1] = weights_spacing[k].value; |
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99 | |
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100 | sum += weights_deltaT[i].weight * weights_deltaH[j].weight *weights_spacing[k].weight |
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101 | *LamellarPS_HG(dp, q); |
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102 | norm += weights_deltaT[i].weight * weights_deltaH[j].weight * weights_spacing[k].weight; |
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103 | } |
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104 | } |
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105 | } |
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106 | return sum/norm + background(); |
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107 | } |
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108 | /** |
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109 | * Function to evaluate 2D scattering function |
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110 | * @param q_x: value of Q along x |
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111 | * @param q_y: value of Q along y |
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112 | * @return: function value |
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113 | */ |
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114 | double LamellarPSHGModel :: operator()(double qx, double qy) { |
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115 | double q = sqrt(qx*qx + qy*qy); |
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116 | return (*this).operator()(q); |
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117 | } |
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118 | |
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119 | /** |
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120 | * Function to evaluate 2D scattering function |
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121 | * @param pars: parameters of the lamellarPS_HG |
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122 | * @param q: q-value |
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123 | * @param phi: angle phi |
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124 | * @return: function value |
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125 | */ |
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126 | double LamellarPSHGModel :: evaluate_rphi(double q, double phi) { |
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127 | return (*this).operator()(q); |
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128 | } |
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129 | /** |
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130 | * Function to calculate effective radius |
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131 | * @return: effective radius value |
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132 | */ |
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133 | double LamellarPSHGModel :: calculate_ER() { |
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134 | //NOT implemented yet!!! |
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135 | return 0.0; |
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136 | } |
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137 | double LamellarPSHGModel :: calculate_VR() { |
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138 | return 1.0; |
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139 | } |
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