[e096270] | 1 | #!/usr/bin/env python |
---|
| 2 | |
---|
| 3 | ############################################################################## |
---|
| 4 | # This software was developed by the University of Tennessee as part of the |
---|
| 5 | # Distributed Data Analysis of Neutron Scattering Experiments (DANSE) |
---|
| 6 | # project funded by the US National Science Foundation. |
---|
| 7 | # |
---|
| 8 | # If you use DANSE applications to do scientific research that leads to |
---|
| 9 | # publication, we ask that you acknowledge the use of the software with the |
---|
| 10 | # following sentence: |
---|
| 11 | # |
---|
| 12 | # "This work benefited from DANSE software developed under NSF award DMR-0520547." |
---|
| 13 | # |
---|
| 14 | # copyright 2008, University of Tennessee |
---|
| 15 | ############################################################################## |
---|
| 16 | |
---|
| 17 | |
---|
| 18 | """ |
---|
| 19 | Provide functionality for a C extension model |
---|
| 20 | |
---|
| 21 | :WARNING: THIS FILE WAS GENERATED BY WRAPPERGENERATOR.PY |
---|
| 22 | DO NOT MODIFY THIS FILE, MODIFY ..\c_extensions\onion.h |
---|
| 23 | AND RE-RUN THE GENERATOR SCRIPT |
---|
| 24 | |
---|
| 25 | """ |
---|
| 26 | |
---|
| 27 | from sans.models.BaseComponent import BaseComponent |
---|
| 28 | from sans_extension.c_models import COnionModel |
---|
| 29 | import copy |
---|
| 30 | |
---|
| 31 | class OnionModel(COnionModel, BaseComponent): |
---|
| 32 | """ |
---|
| 33 | Class that evaluates a OnionModel model. |
---|
| 34 | This file was auto-generated from ..\c_extensions\onion.h. |
---|
| 35 | Refer to that file and the structure it contains |
---|
| 36 | for details of the model. |
---|
| 37 | List of default parameters: |
---|
| 38 | n_shells = 1.0 |
---|
| 39 | scale = 1.0 |
---|
[339ce67] | 40 | rad_core0 = 200.0 [A] |
---|
| 41 | sld_core0 = 1e-006 [1/A^(2)] |
---|
[e096270] | 42 | sld_solv = 6.4e-006 [1/A^(2)] |
---|
| 43 | background = 0.0 [1/cm] |
---|
[7381f34] | 44 | sld_out_shell1 = 2e-006 [1/A^(2)] |
---|
| 45 | sld_out_shell2 = 2.5e-006 [1/A^(2)] |
---|
| 46 | sld_out_shell3 = 3e-006 [1/A^(2)] |
---|
| 47 | sld_out_shell4 = 3.5e-006 [1/A^(2)] |
---|
| 48 | sld_out_shell5 = 4e-006 [1/A^(2)] |
---|
| 49 | sld_out_shell6 = 4.5e-006 [1/A^(2)] |
---|
| 50 | sld_out_shell7 = 5e-006 [1/A^(2)] |
---|
| 51 | sld_out_shell8 = 5.5e-006 [1/A^(2)] |
---|
| 52 | sld_out_shell9 = 6e-006 [1/A^(2)] |
---|
| 53 | sld_out_shell10 = 6.2e-006 [1/A^(2)] |
---|
| 54 | sld_in_shell1 = 1.7e-006 [1/A^(2)] |
---|
| 55 | sld_in_shell2 = 2.2e-006 [1/A^(2)] |
---|
| 56 | sld_in_shell3 = 2.7e-006 [1/A^(2)] |
---|
| 57 | sld_in_shell4 = 3.2e-006 [1/A^(2)] |
---|
| 58 | sld_in_shell5 = 3.7e-006 [1/A^(2)] |
---|
| 59 | sld_in_shell6 = 4.2e-006 [1/A^(2)] |
---|
| 60 | sld_in_shell7 = 4.7e-006 [1/A^(2)] |
---|
| 61 | sld_in_shell8 = 5.2e-006 [1/A^(2)] |
---|
| 62 | sld_in_shell9 = 5.7e-006 [1/A^(2)] |
---|
| 63 | sld_in_shell10 = 6e-006 [1/A^(2)] |
---|
[e096270] | 64 | A_shell1 = 1.0 |
---|
| 65 | A_shell2 = 1.0 |
---|
| 66 | A_shell3 = 1.0 |
---|
| 67 | A_shell4 = 1.0 |
---|
| 68 | A_shell5 = 1.0 |
---|
| 69 | A_shell6 = 1.0 |
---|
| 70 | A_shell7 = 1.0 |
---|
| 71 | A_shell8 = 1.0 |
---|
| 72 | A_shell9 = 1.0 |
---|
| 73 | A_shell10 = 1.0 |
---|
[7381f34] | 74 | thick_shell1 = 50.0 [A] |
---|
| 75 | thick_shell2 = 50.0 [A] |
---|
| 76 | thick_shell3 = 50.0 [A] |
---|
| 77 | thick_shell4 = 50.0 [A] |
---|
| 78 | thick_shell5 = 50.0 [A] |
---|
| 79 | thick_shell6 = 50.0 [A] |
---|
| 80 | thick_shell7 = 50.0 [A] |
---|
| 81 | thick_shell8 = 50.0 [A] |
---|
| 82 | thick_shell9 = 50.0 [A] |
---|
| 83 | thick_shell10 = 50.0 [A] |
---|
[e096270] | 84 | func_shell1 = 2.0 |
---|
| 85 | func_shell2 = 2.0 |
---|
| 86 | func_shell3 = 2.0 |
---|
| 87 | func_shell4 = 2.0 |
---|
| 88 | func_shell5 = 2.0 |
---|
| 89 | func_shell6 = 2.0 |
---|
| 90 | func_shell7 = 2.0 |
---|
| 91 | func_shell8 = 2.0 |
---|
| 92 | func_shell9 = 2.0 |
---|
| 93 | func_shell10 = 2.0 |
---|
| 94 | |
---|
| 95 | """ |
---|
| 96 | |
---|
| 97 | def __init__(self): |
---|
| 98 | """ Initialization """ |
---|
| 99 | |
---|
| 100 | # Initialize BaseComponent first, then sphere |
---|
| 101 | BaseComponent.__init__(self) |
---|
| 102 | COnionModel.__init__(self) |
---|
| 103 | |
---|
| 104 | ## Name of the model |
---|
| 105 | self.name = "OnionModel" |
---|
| 106 | ## Model description |
---|
| 107 | self.description ="""Form factor of mutishells normalized by the volume. Here each shell is described |
---|
| 108 | by an exponential function; |
---|
| 109 | I) |
---|
| 110 | For A_shell != 0, |
---|
| 111 | f(r) = B*exp(A_shell*(r-r_in)/thick_shell)+C |
---|
| 112 | where |
---|
| 113 | B=(sld_out-sld_in)/(exp(A_shell)-1) |
---|
| 114 | C=sld_in-B. |
---|
| 115 | Note that in the above case, |
---|
| 116 | the function becomes a linear function |
---|
| 117 | as A_shell --> 0+ or 0-. |
---|
| 118 | II) |
---|
| 119 | For the exact point of A_shell == 0, |
---|
| 120 | f(r) = sld_in ,i.e., it crosses over flat function |
---|
| 121 | Note that the 'sld_out' becaomes NULL in this case. |
---|
| 122 | |
---|
| 123 | background:background, |
---|
[339ce67] | 124 | rad_core0: radius of sphere(core) |
---|
[e096270] | 125 | thick_shell#:the thickness of the shell# |
---|
[339ce67] | 126 | sld_core0: the SLD of the sphere |
---|
[e096270] | 127 | sld_solv: the SLD of the solvent |
---|
| 128 | sld_shell: the SLD of the shell# |
---|
| 129 | A_shell#: the coefficient in the exponential function""" |
---|
| 130 | |
---|
| 131 | ## Parameter details [units, min, max] |
---|
| 132 | self.details = {} |
---|
| 133 | self.details['n_shells'] = ['', None, None] |
---|
| 134 | self.details['scale'] = ['', None, None] |
---|
[339ce67] | 135 | self.details['rad_core0'] = ['[A]', None, None] |
---|
| 136 | self.details['sld_core0'] = ['[1/A^(2)]', None, None] |
---|
[e096270] | 137 | self.details['sld_solv'] = ['[1/A^(2)]', None, None] |
---|
| 138 | self.details['background'] = ['[1/cm]', None, None] |
---|
[7381f34] | 139 | self.details['sld_out_shell1'] = ['[1/A^(2)]', None, None] |
---|
| 140 | self.details['sld_out_shell2'] = ['[1/A^(2)]', None, None] |
---|
| 141 | self.details['sld_out_shell3'] = ['[1/A^(2)]', None, None] |
---|
| 142 | self.details['sld_out_shell4'] = ['[1/A^(2)]', None, None] |
---|
| 143 | self.details['sld_out_shell5'] = ['[1/A^(2)]', None, None] |
---|
| 144 | self.details['sld_out_shell6'] = ['[1/A^(2)]', None, None] |
---|
| 145 | self.details['sld_out_shell7'] = ['[1/A^(2)]', None, None] |
---|
| 146 | self.details['sld_out_shell8'] = ['[1/A^(2)]', None, None] |
---|
| 147 | self.details['sld_out_shell9'] = ['[1/A^(2)]', None, None] |
---|
| 148 | self.details['sld_out_shell10'] = ['[1/A^(2)]', None, None] |
---|
| 149 | self.details['sld_in_shell1'] = ['[1/A^(2)]', None, None] |
---|
| 150 | self.details['sld_in_shell2'] = ['[1/A^(2)]', None, None] |
---|
| 151 | self.details['sld_in_shell3'] = ['[1/A^(2)]', None, None] |
---|
| 152 | self.details['sld_in_shell4'] = ['[1/A^(2)]', None, None] |
---|
| 153 | self.details['sld_in_shell5'] = ['[1/A^(2)]', None, None] |
---|
| 154 | self.details['sld_in_shell6'] = ['[1/A^(2)]', None, None] |
---|
| 155 | self.details['sld_in_shell7'] = ['[1/A^(2)]', None, None] |
---|
| 156 | self.details['sld_in_shell8'] = ['[1/A^(2)]', None, None] |
---|
| 157 | self.details['sld_in_shell9'] = ['[1/A^(2)]', None, None] |
---|
| 158 | self.details['sld_in_shell10'] = ['[1/A^(2)]', None, None] |
---|
[e096270] | 159 | self.details['A_shell1'] = ['', None, None] |
---|
| 160 | self.details['A_shell2'] = ['', None, None] |
---|
| 161 | self.details['A_shell3'] = ['', None, None] |
---|
| 162 | self.details['A_shell4'] = ['', None, None] |
---|
| 163 | self.details['A_shell5'] = ['', None, None] |
---|
| 164 | self.details['A_shell6'] = ['', None, None] |
---|
| 165 | self.details['A_shell7'] = ['', None, None] |
---|
| 166 | self.details['A_shell8'] = ['', None, None] |
---|
| 167 | self.details['A_shell9'] = ['', None, None] |
---|
| 168 | self.details['A_shell10'] = ['', None, None] |
---|
[7381f34] | 169 | self.details['thick_shell1'] = ['[A]', None, None] |
---|
| 170 | self.details['thick_shell2'] = ['[A]', None, None] |
---|
| 171 | self.details['thick_shell3'] = ['[A]', None, None] |
---|
| 172 | self.details['thick_shell4'] = ['[A]', None, None] |
---|
| 173 | self.details['thick_shell5'] = ['[A]', None, None] |
---|
| 174 | self.details['thick_shell6'] = ['[A]', None, None] |
---|
| 175 | self.details['thick_shell7'] = ['[A]', None, None] |
---|
| 176 | self.details['thick_shell8'] = ['[A]', None, None] |
---|
| 177 | self.details['thick_shell9'] = ['[A]', None, None] |
---|
| 178 | self.details['thick_shell10'] = ['[A]', None, None] |
---|
[e096270] | 179 | self.details['func_shell1'] = ['', None, None] |
---|
| 180 | self.details['func_shell2'] = ['', None, None] |
---|
| 181 | self.details['func_shell3'] = ['', None, None] |
---|
| 182 | self.details['func_shell4'] = ['', None, None] |
---|
| 183 | self.details['func_shell5'] = ['', None, None] |
---|
| 184 | self.details['func_shell6'] = ['', None, None] |
---|
| 185 | self.details['func_shell7'] = ['', None, None] |
---|
| 186 | self.details['func_shell8'] = ['', None, None] |
---|
| 187 | self.details['func_shell9'] = ['', None, None] |
---|
| 188 | self.details['func_shell10'] = ['', None, None] |
---|
| 189 | |
---|
| 190 | ## fittable parameters |
---|
[339ce67] | 191 | self.fixed=['rad_core0.width', 'thick_shell1.width', 'thick_shell2.width', 'thick_shell3.width', 'thick_shell4.width', 'thick_shell5.width', 'thick_shell6.width', 'thick_shell7.width', 'thick_shell8.width', 'thick_shell9.width', 'thick_shell10.width'] |
---|
[e096270] | 192 | |
---|
[35aface] | 193 | ## non-fittable parameters |
---|
| 194 | self.non_fittable=[] |
---|
| 195 | |
---|
[e096270] | 196 | ## parameters with orientation |
---|
| 197 | self.orientation_params =[] |
---|
| 198 | |
---|
| 199 | def clone(self): |
---|
| 200 | """ Return a identical copy of self """ |
---|
| 201 | return self._clone(OnionModel()) |
---|
| 202 | |
---|
| 203 | def __getstate__(self): |
---|
| 204 | """ |
---|
| 205 | return object state for pickling and copying |
---|
| 206 | """ |
---|
| 207 | model_state = {'params': self.params, 'dispersion': self.dispersion, 'log': self.log} |
---|
| 208 | |
---|
| 209 | return self.__dict__, model_state |
---|
| 210 | |
---|
| 211 | def __setstate__(self, state): |
---|
| 212 | """ |
---|
| 213 | create object from pickled state |
---|
| 214 | |
---|
| 215 | :param state: the state of the current model |
---|
| 216 | |
---|
| 217 | """ |
---|
| 218 | |
---|
| 219 | self.__dict__, model_state = state |
---|
| 220 | self.params = model_state['params'] |
---|
| 221 | self.dispersion = model_state['dispersion'] |
---|
| 222 | self.log = model_state['log'] |
---|
| 223 | |
---|
| 224 | |
---|
| 225 | def run(self, x=0.0): |
---|
| 226 | """ |
---|
| 227 | Evaluate the model |
---|
| 228 | |
---|
| 229 | :param x: input q, or [q,phi] |
---|
| 230 | |
---|
| 231 | :return: scattering function P(q) |
---|
| 232 | |
---|
| 233 | """ |
---|
| 234 | |
---|
| 235 | return COnionModel.run(self, x) |
---|
| 236 | |
---|
| 237 | def runXY(self, x=0.0): |
---|
| 238 | """ |
---|
| 239 | Evaluate the model in cartesian coordinates |
---|
| 240 | |
---|
| 241 | :param x: input q, or [qx, qy] |
---|
| 242 | |
---|
| 243 | :return: scattering function P(q) |
---|
| 244 | |
---|
| 245 | """ |
---|
| 246 | |
---|
| 247 | return COnionModel.runXY(self, x) |
---|
| 248 | |
---|
| 249 | def evalDistribution(self, x=[]): |
---|
| 250 | """ |
---|
| 251 | Evaluate the model in cartesian coordinates |
---|
| 252 | |
---|
| 253 | :param x: input q[], or [qx[], qy[]] |
---|
| 254 | |
---|
| 255 | :return: scattering function P(q[]) |
---|
| 256 | |
---|
| 257 | """ |
---|
| 258 | return COnionModel.evalDistribution(self, x) |
---|
| 259 | |
---|
| 260 | def calculate_ER(self): |
---|
| 261 | """ |
---|
| 262 | Calculate the effective radius for P(q)*S(q) |
---|
| 263 | |
---|
| 264 | :return: the value of the effective radius |
---|
| 265 | |
---|
| 266 | """ |
---|
| 267 | return COnionModel.calculate_ER(self) |
---|
| 268 | |
---|
| 269 | def set_dispersion(self, parameter, dispersion): |
---|
| 270 | """ |
---|
| 271 | Set the dispersion object for a model parameter |
---|
| 272 | |
---|
| 273 | :param parameter: name of the parameter [string] |
---|
| 274 | :param dispersion: dispersion object of type DispersionModel |
---|
| 275 | |
---|
| 276 | """ |
---|
| 277 | return COnionModel.set_dispersion(self, parameter, dispersion.cdisp) |
---|
| 278 | |
---|
| 279 | |
---|
| 280 | # End of file |
---|