1 | #!/usr/bin/env python |
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2 | |
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3 | ############################################################################## |
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4 | # This software was developed by the University of Tennessee as part of the |
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5 | # Distributed Data Analysis of Neutron Scattering Experiments (DANSE) |
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6 | # project funded by the US National Science Foundation. |
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7 | # |
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8 | # If you use DANSE applications to do scientific research that leads to |
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9 | # publication, we ask that you acknowledge the use of the software with the |
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10 | # following sentence: |
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11 | # |
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12 | # "This work benefited from DANSE software developed under NSF award DMR-0520547." |
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13 | # |
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14 | # copyright 2008, University of Tennessee |
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15 | ############################################################################## |
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16 | |
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17 | |
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18 | """ |
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19 | Provide functionality for a C extension model |
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20 | |
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21 | :WARNING: THIS FILE WAS GENERATED BY WRAPPERGENERATOR.PY |
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22 | DO NOT MODIFY THIS FILE, MODIFY ../c_extensions/sphere.h |
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23 | AND RE-RUN THE GENERATOR SCRIPT |
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24 | |
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25 | """ |
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26 | |
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27 | from sans.models.BaseComponent import BaseComponent |
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28 | from sans.models.sans_extension.c_models import CSphereModel |
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29 | import copy |
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30 | |
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31 | def create_SphereModel(): |
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32 | obj = SphereModel() |
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33 | #CSphereModel.__init__(obj) is called by SphereModel constructor |
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34 | return obj |
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35 | |
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36 | class SphereModel(CSphereModel, BaseComponent): |
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37 | """ |
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38 | Class that evaluates a SphereModel model. |
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39 | This file was auto-generated from ../c_extensions/sphere.h. |
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40 | Refer to that file and the structure it contains |
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41 | for details of the model. |
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42 | List of default parameters: |
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43 | scale = 1.0 |
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44 | radius = 60.0 [A] |
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45 | sldSph = 2e-06 [1/A^(2)] |
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46 | sldSolv = 1e-06 [1/A^(2)] |
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47 | background = 0.0 [1/cm] |
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48 | |
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49 | """ |
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50 | |
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51 | def __init__(self): |
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52 | """ Initialization """ |
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53 | |
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54 | # Initialize BaseComponent first, then sphere |
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55 | BaseComponent.__init__(self) |
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56 | #apply(CSphereModel.__init__, (self,)) |
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57 | CSphereModel.__init__(self) |
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58 | |
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59 | ## Name of the model |
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60 | self.name = "SphereModel" |
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61 | ## Model description |
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62 | self.description ="""P(q)=(scale/V)*[3V(sldSph-sldSolv)*(sin(qR)-qRcos(qR)) |
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63 | /(qR)^3]^(2)+bkg |
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64 | |
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65 | bkg:background, R: radius of sphere |
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66 | V:The volume of the scatter |
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67 | sldSph: the SLD of the sphere |
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68 | sldSolv: the SLD of the solvent |
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69 | """ |
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70 | |
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71 | ## Parameter details [units, min, max] |
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72 | self.details = {} |
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73 | self.details['scale'] = ['', None, None] |
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74 | self.details['radius'] = ['[A]', None, None] |
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75 | self.details['sldSph'] = ['[1/A^(2)]', None, None] |
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76 | self.details['sldSolv'] = ['[1/A^(2)]', None, None] |
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77 | self.details['background'] = ['[1/cm]', None, None] |
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78 | |
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79 | ## fittable parameters |
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80 | self.fixed=['radius.width'] |
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81 | |
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82 | ## non-fittable parameters |
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83 | self.non_fittable = [] |
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84 | |
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85 | ## parameters with orientation |
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86 | self.orientation_params = [] |
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87 | |
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88 | def __setstate__(self, state): |
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89 | """ |
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90 | restore the state of a model from pickle |
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91 | """ |
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92 | self.__dict__, self.params, self.dispersion = state |
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93 | |
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94 | def __reduce_ex__(self, proto): |
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95 | """ |
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96 | Overwrite the __reduce_ex__ of PyTypeObject *type call in the init of |
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97 | c model. |
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98 | """ |
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99 | state = (self.__dict__, self.params, self.dispersion) |
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100 | return (create_SphereModel,tuple(), state, None, None) |
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101 | |
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102 | def clone(self): |
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103 | """ Return a identical copy of self """ |
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104 | return self._clone(SphereModel()) |
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105 | |
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106 | |
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107 | def run(self, x=0.0): |
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108 | """ |
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109 | Evaluate the model |
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110 | |
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111 | :param x: input q, or [q,phi] |
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112 | |
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113 | :return: scattering function P(q) |
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114 | |
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115 | """ |
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116 | |
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117 | return CSphereModel.run(self, x) |
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118 | |
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119 | def runXY(self, x=0.0): |
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120 | """ |
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121 | Evaluate the model in cartesian coordinates |
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122 | |
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123 | :param x: input q, or [qx, qy] |
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124 | |
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125 | :return: scattering function P(q) |
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126 | |
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127 | """ |
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128 | |
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129 | return CSphereModel.runXY(self, x) |
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130 | |
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131 | def evalDistribution(self, x=[]): |
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132 | """ |
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133 | Evaluate the model in cartesian coordinates |
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134 | |
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135 | :param x: input q[], or [qx[], qy[]] |
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136 | |
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137 | :return: scattering function P(q[]) |
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138 | |
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139 | """ |
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140 | return CSphereModel.evalDistribution(self, x) |
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141 | |
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142 | def calculate_ER(self): |
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143 | """ |
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144 | Calculate the effective radius for P(q)*S(q) |
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145 | |
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146 | :return: the value of the effective radius |
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147 | |
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148 | """ |
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149 | return CSphereModel.calculate_ER(self) |
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150 | |
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151 | def set_dispersion(self, parameter, dispersion): |
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152 | """ |
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153 | Set the dispersion object for a model parameter |
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154 | |
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155 | :param parameter: name of the parameter [string] |
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156 | :param dispersion: dispersion object of type DispersionModel |
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157 | |
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158 | """ |
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159 | return CSphereModel.set_dispersion(self, parameter, dispersion.cdisp) |
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160 | |
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161 | |
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162 | # End of file |
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