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 2008-2011, University of Tennessee |
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13 | ############################################################################## |
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14 | |
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15 | """ |
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16 | Provide functionality for a C extension model |
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17 | |
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18 | .. WARNING:: |
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19 | |
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20 | THIS FILE WAS GENERATED BY WRAPPERGENERATOR.PY |
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21 | DO NOT MODIFY THIS FILE, MODIFY |
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22 | src\sans\models\include\spheresld.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 | from sans.models.BaseComponent import BaseComponent |
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27 | from sans.models.sans_extension.c_models import CSphereSLDModel |
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28 | |
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29 | def create_SphereSLDModel(): |
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30 | """ |
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31 | Create a model instance |
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32 | """ |
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33 | obj = SphereSLDModel() |
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34 | # CSphereSLDModel.__init__(obj) is called by |
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35 | # the SphereSLDModel constructor |
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36 | return obj |
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37 | |
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38 | class SphereSLDModel(CSphereSLDModel, BaseComponent): |
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39 | """ |
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40 | Class that evaluates a SphereSLDModel model. |
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41 | This file was auto-generated from src\sans\models\include\spheresld.h. |
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42 | Refer to that file and the structure it contains |
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43 | for details of the model. |
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44 | |
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45 | List of default parameters: |
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46 | |
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47 | * n_shells = 1.0 |
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48 | * scale = 1.0 |
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49 | * thick_inter0 = 50.0 [A] |
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50 | * func_inter0 = 0.0 |
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51 | * sld_core0 = 2.07e-06 [1/A^(2)] |
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52 | * sld_solv = 1e-06 [1/A^(2)] |
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53 | * background = 0.0 |
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54 | * sld_flat1 = 4e-06 [1/A^(2)] |
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55 | * sld_flat2 = 3.5e-06 [1/A^(2)] |
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56 | * sld_flat3 = 4e-06 [1/A^(2)] |
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57 | * sld_flat4 = 3.5e-06 [1/A^(2)] |
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58 | * sld_flat5 = 4e-06 [1/A^(2)] |
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59 | * sld_flat6 = 3.5e-06 [1/A^(2)] |
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60 | * sld_flat7 = 4e-06 [1/A^(2)] |
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61 | * sld_flat8 = 3.5e-06 [1/A^(2)] |
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62 | * sld_flat9 = 4e-06 [1/A^(2)] |
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63 | * sld_flat10 = 3.5e-06 [1/A^(2)] |
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64 | * thick_inter1 = 50.0 [A] |
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65 | * thick_inter2 = 50.0 [A] |
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66 | * thick_inter3 = 50.0 [A] |
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67 | * thick_inter4 = 50.0 [A] |
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68 | * thick_inter5 = 50.0 [A] |
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69 | * thick_inter6 = 50.0 [A] |
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70 | * thick_inter7 = 50.0 [A] |
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71 | * thick_inter8 = 50.0 [A] |
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72 | * thick_inter9 = 50.0 [A] |
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73 | * thick_inter10 = 50.0 [A] |
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74 | * thick_flat1 = 100.0 [A] |
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75 | * thick_flat2 = 100.0 [A] |
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76 | * thick_flat3 = 100.0 [A] |
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77 | * thick_flat4 = 100.0 [A] |
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78 | * thick_flat5 = 100.0 [A] |
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79 | * thick_flat6 = 100.0 [A] |
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80 | * thick_flat7 = 100.0 [A] |
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81 | * thick_flat8 = 100.0 [A] |
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82 | * thick_flat9 = 100.0 [A] |
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83 | * thick_flat10 = 100.0 [A] |
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84 | * func_inter1 = 0.0 |
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85 | * func_inter2 = 0.0 |
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86 | * func_inter3 = 0.0 |
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87 | * func_inter4 = 0.0 |
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88 | * func_inter5 = 0.0 |
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89 | * func_inter6 = 0.0 |
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90 | * func_inter7 = 0.0 |
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91 | * func_inter8 = 0.0 |
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92 | * func_inter9 = 0.0 |
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93 | * func_inter10 = 0.0 |
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94 | * nu_inter1 = 2.5 |
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95 | * nu_inter2 = 2.5 |
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96 | * nu_inter3 = 2.5 |
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97 | * nu_inter4 = 2.5 |
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98 | * nu_inter5 = 2.5 |
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99 | * nu_inter6 = 2.5 |
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100 | * nu_inter7 = 2.5 |
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101 | * nu_inter8 = 2.5 |
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102 | * nu_inter9 = 2.5 |
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103 | * nu_inter10 = 2.5 |
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104 | * npts_inter = 35.0 |
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105 | * nu_inter0 = 2.5 |
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106 | * rad_core0 = 50.0 [A] |
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107 | |
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108 | """ |
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109 | |
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110 | def __init__(self, multfactor=1): |
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111 | """ Initialization """ |
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112 | self.__dict__ = {} |
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113 | |
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114 | # Initialize BaseComponent first, then sphere |
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115 | BaseComponent.__init__(self) |
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116 | #apply(CSphereSLDModel.__init__, (self,)) |
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117 | |
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118 | CSphereSLDModel.__init__(self) |
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119 | self.is_multifunc = False |
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120 | |
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121 | ## Name of the model |
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122 | self.name = "SphereSLDModel" |
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123 | ## Model description |
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124 | self.description = """ |
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125 | Calculate neutron reflectivity using the Parratt iterative formula |
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126 | Parameters: |
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127 | background:background |
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128 | scale: scale factor |
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129 | sld_core0: the SLD of the substrate |
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130 | sld_solv: the SLD of the incident medium |
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131 | or superstrate |
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132 | sld_flatN: the SLD of the flat region of |
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133 | the N'th layer |
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134 | thick_flatN: the thickness of the flat |
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135 | region of the N'th layer |
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136 | func_interN: the function used to describe |
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137 | the interface of the N'th layer |
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138 | nu_interN: the coefficient for the func_interN |
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139 | thick_interN: the thickness of the interface |
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140 | of the N'th layer |
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141 | Note: the layer number starts to increase |
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142 | from the bottom (substrate) to the top. |
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143 | """ |
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144 | |
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145 | ## Parameter details [units, min, max] |
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146 | self.details = {} |
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147 | self.details['n_shells'] = ['', None, None] |
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148 | self.details['scale'] = ['', None, None] |
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149 | self.details['thick_inter0'] = ['[A]', None, None] |
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150 | self.details['func_inter0'] = ['', None, None] |
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151 | self.details['sld_core0'] = ['[1/A^(2)]', None, None] |
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152 | self.details['sld_solv'] = ['[1/A^(2)]', None, None] |
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153 | self.details['background'] = ['', None, None] |
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154 | self.details['sld_flat1'] = ['[1/A^(2)]', None, None] |
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155 | self.details['sld_flat2'] = ['[1/A^(2)]', None, None] |
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156 | self.details['sld_flat3'] = ['[1/A^(2)]', None, None] |
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157 | self.details['sld_flat4'] = ['[1/A^(2)]', None, None] |
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158 | self.details['sld_flat5'] = ['[1/A^(2)]', None, None] |
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159 | self.details['sld_flat6'] = ['[1/A^(2)]', None, None] |
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160 | self.details['sld_flat7'] = ['[1/A^(2)]', None, None] |
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161 | self.details['sld_flat8'] = ['[1/A^(2)]', None, None] |
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162 | self.details['sld_flat9'] = ['[1/A^(2)]', None, None] |
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163 | self.details['sld_flat10'] = ['[1/A^(2)]', None, None] |
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164 | self.details['thick_inter1'] = ['[A]', None, None] |
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165 | self.details['thick_inter2'] = ['[A]', None, None] |
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166 | self.details['thick_inter3'] = ['[A]', None, None] |
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167 | self.details['thick_inter4'] = ['[A]', None, None] |
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168 | self.details['thick_inter5'] = ['[A]', None, None] |
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169 | self.details['thick_inter6'] = ['[A]', None, None] |
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170 | self.details['thick_inter7'] = ['[A]', None, None] |
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171 | self.details['thick_inter8'] = ['[A]', None, None] |
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172 | self.details['thick_inter9'] = ['[A]', None, None] |
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173 | self.details['thick_inter10'] = ['[A]', None, None] |
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174 | self.details['thick_flat1'] = ['[A]', None, None] |
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175 | self.details['thick_flat2'] = ['[A]', None, None] |
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176 | self.details['thick_flat3'] = ['[A]', None, None] |
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177 | self.details['thick_flat4'] = ['[A]', None, None] |
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178 | self.details['thick_flat5'] = ['[A]', None, None] |
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179 | self.details['thick_flat6'] = ['[A]', None, None] |
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180 | self.details['thick_flat7'] = ['[A]', None, None] |
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181 | self.details['thick_flat8'] = ['[A]', None, None] |
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182 | self.details['thick_flat9'] = ['[A]', None, None] |
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183 | self.details['thick_flat10'] = ['[A]', None, None] |
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184 | self.details['func_inter1'] = ['', None, None] |
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185 | self.details['func_inter2'] = ['', None, None] |
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186 | self.details['func_inter3'] = ['', None, None] |
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187 | self.details['func_inter4'] = ['', None, None] |
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188 | self.details['func_inter5'] = ['', None, None] |
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189 | self.details['func_inter6'] = ['', None, None] |
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190 | self.details['func_inter7'] = ['', None, None] |
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191 | self.details['func_inter8'] = ['', None, None] |
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192 | self.details['func_inter9'] = ['', None, None] |
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193 | self.details['func_inter10'] = ['', None, None] |
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194 | self.details['nu_inter1'] = ['', None, None] |
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195 | self.details['nu_inter2'] = ['', None, None] |
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196 | self.details['nu_inter3'] = ['', None, None] |
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197 | self.details['nu_inter4'] = ['', None, None] |
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198 | self.details['nu_inter5'] = ['', None, None] |
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199 | self.details['nu_inter6'] = ['', None, None] |
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200 | self.details['nu_inter7'] = ['', None, None] |
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201 | self.details['nu_inter8'] = ['', None, None] |
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202 | self.details['nu_inter9'] = ['', None, None] |
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203 | self.details['nu_inter10'] = ['', None, None] |
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204 | self.details['npts_inter'] = ['', None, None] |
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205 | self.details['nu_inter0'] = ['', None, None] |
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206 | self.details['rad_core0'] = ['[A]', None, None] |
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207 | |
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208 | ## fittable parameters |
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209 | self.fixed = ['rad_core0.width', |
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210 | 'thick_inter0.width'] |
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211 | |
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212 | ## non-fittable parameters |
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213 | self.non_fittable = ['n_shells', |
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214 | 'func_inter0', |
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215 | 'func_inter1', |
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216 | 'func_inter2', |
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217 | 'func_inter3', |
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218 | 'func_inter4', |
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219 | 'func_inter5', |
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220 | 'func_inter5', |
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221 | 'func_inter7', |
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222 | 'func_inter8', |
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223 | 'func_inter9', |
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224 | 'func_inter10'] |
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225 | |
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226 | ## parameters with orientation |
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227 | self.orientation_params = [] |
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228 | |
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229 | ## parameters with magnetism |
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230 | self.magnetic_params = [] |
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231 | |
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232 | self.category = None |
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233 | self.multiplicity_info = None |
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234 | |
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235 | def __setstate__(self, state): |
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236 | """ |
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237 | restore the state of a model from pickle |
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238 | """ |
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239 | self.__dict__, self.params, self.dispersion = state |
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240 | |
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241 | def __reduce_ex__(self, proto): |
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242 | """ |
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243 | Overwrite the __reduce_ex__ of PyTypeObject *type call in the init of |
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244 | c model. |
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245 | """ |
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246 | state = (self.__dict__, self.params, self.dispersion) |
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247 | return (create_SphereSLDModel, tuple(), state, None, None) |
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248 | |
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249 | def clone(self): |
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250 | """ Return a identical copy of self """ |
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251 | return self._clone(SphereSLDModel()) |
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252 | |
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253 | def run(self, x=0.0): |
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254 | """ |
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255 | Evaluate the model |
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256 | |
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257 | :param x: input q, or [q,phi] |
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258 | |
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259 | :return: scattering function P(q) |
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260 | |
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261 | """ |
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262 | return CSphereSLDModel.run(self, x) |
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263 | |
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264 | def runXY(self, x=0.0): |
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265 | """ |
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266 | Evaluate the model in cartesian coordinates |
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267 | |
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268 | :param x: input q, or [qx, qy] |
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269 | |
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270 | :return: scattering function P(q) |
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271 | |
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272 | """ |
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273 | return CSphereSLDModel.runXY(self, x) |
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274 | |
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275 | def evalDistribution(self, x): |
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276 | """ |
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277 | Evaluate the model in cartesian coordinates |
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278 | |
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279 | :param x: input q[], or [qx[], qy[]] |
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280 | |
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281 | :return: scattering function P(q[]) |
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282 | |
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283 | """ |
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284 | return CSphereSLDModel.evalDistribution(self, x) |
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285 | |
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286 | def calculate_ER(self): |
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287 | """ |
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288 | Calculate the effective radius for P(q)*S(q) |
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289 | |
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290 | :return: the value of the effective radius |
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291 | |
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292 | """ |
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293 | return CSphereSLDModel.calculate_ER(self) |
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294 | |
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295 | def calculate_VR(self): |
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296 | """ |
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297 | Calculate the volf ratio for P(q)*S(q) |
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298 | |
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299 | :return: the value of the volf ratio |
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300 | |
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301 | """ |
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302 | return CSphereSLDModel.calculate_VR(self) |
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303 | |
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304 | def set_dispersion(self, parameter, dispersion): |
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305 | """ |
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306 | Set the dispersion object for a model parameter |
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307 | |
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308 | :param parameter: name of the parameter [string] |
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309 | :param dispersion: dispersion object of type DispersionModel |
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310 | |
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311 | """ |
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312 | return CSphereSLDModel.set_dispersion(self, |
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313 | parameter, dispersion.cdisp) |
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314 | |
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315 | |
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316 | # End of file |
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317 | |
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