source: sasview/src/sans/models/OnionModel.py @ 400155b

ESS_GUIESS_GUI_DocsESS_GUI_batch_fittingESS_GUI_bumps_abstractionESS_GUI_iss1116ESS_GUI_iss879ESS_GUI_iss959ESS_GUI_openclESS_GUI_orderingESS_GUI_sync_sascalccostrafo411magnetic_scattrelease-4.1.1release-4.1.2release-4.2.2release_4.0.1ticket-1009ticket-1094-headlessticket-1242-2d-resolutionticket-1243ticket-1249ticket885unittest-saveload
Last change on this file since 400155b was 400155b, checked in by gonzalezm, 9 years ago

Implementing request from ticket 261 - default number of bins in Annulus [Phi View] is now 36 and the first bin is now centered at 0 degrees
  • Property mode set to 100644
File size: 10.9 KB
Line 
1##############################################################################
2# This software was developed by the University of Tennessee as part of the
3# Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
4# project funded by the US National Science Foundation.
5#
6# If you use DANSE applications to do scientific research that leads to
7# publication, we ask that you acknowledge the use of the software with the
8# following sentence:
9#
10# This work benefited from DANSE software developed under NSF award DMR-0520547
11#
12# Copyright 2008-2011, University of Tennessee
13##############################################################################
14
15"""
16Provide functionality for a C extension model
17
18.. WARNING::
19
20   THIS FILE WAS GENERATED BY WRAPPERGENERATOR.PY
21   DO NOT MODIFY THIS FILE, MODIFY
22   src\sans\models\include\onion.h
23   AND RE-RUN THE GENERATOR SCRIPT
24"""
25
26from sans.models.BaseComponent import BaseComponent
27from sans.models.sans_extension.c_models import COnionModel
28
29def create_OnionModel():
30    """
31       Create a model instance
32    """
33    obj = OnionModel()
34    # COnionModel.__init__(obj) is called by
35    # the OnionModel constructor
36    return obj
37
38class OnionModel(COnionModel, BaseComponent):
39    """
40    Class that evaluates a OnionModel model.
41    This file was auto-generated from src\sans\models\include\onion.h.
42    Refer to that file and the structure it contains
43    for details of the model.
44   
45    List of default parameters:
46
47    * n_shells        = 1.0
48    * scale           = 1.0
49    * rad_core0       = 200.0 [A]
50    * sld_core0       = 1e-06 [1/A^(2)]
51    * sld_solv        = 6.4e-06 [1/A^(2)]
52    * background      = 0.0 [1/cm]
53    * sld_out_shell1  = 2e-06 [1/A^(2)]
54    * sld_out_shell2  = 2.5e-06 [1/A^(2)]
55    * sld_out_shell3  = 3e-06 [1/A^(2)]
56    * sld_out_shell4  = 3.5e-06 [1/A^(2)]
57    * sld_out_shell5  = 4e-06 [1/A^(2)]
58    * sld_out_shell6  = 4.5e-06 [1/A^(2)]
59    * sld_out_shell7  = 5e-06 [1/A^(2)]
60    * sld_out_shell8  = 5.5e-06 [1/A^(2)]
61    * sld_out_shell9  = 6e-06 [1/A^(2)]
62    * sld_out_shell10 = 6.2e-06 [1/A^(2)]
63    * sld_in_shell1   = 1.7e-06 [1/A^(2)]
64    * sld_in_shell2   = 2.2e-06 [1/A^(2)]
65    * sld_in_shell3   = 2.7e-06 [1/A^(2)]
66    * sld_in_shell4   = 3.2e-06 [1/A^(2)]
67    * sld_in_shell5   = 3.7e-06 [1/A^(2)]
68    * sld_in_shell6   = 4.2e-06 [1/A^(2)]
69    * sld_in_shell7   = 4.7e-06 [1/A^(2)]
70    * sld_in_shell8   = 5.2e-06 [1/A^(2)]
71    * sld_in_shell9   = 5.7e-06 [1/A^(2)]
72    * sld_in_shell10  = 6e-06 [1/A^(2)]
73    * A_shell1        = 1.0
74    * A_shell2        = 1.0
75    * A_shell3        = 1.0
76    * A_shell4        = 1.0
77    * A_shell5        = 1.0
78    * A_shell6        = 1.0
79    * A_shell7        = 1.0
80    * A_shell8        = 1.0
81    * A_shell9        = 1.0
82    * A_shell10       = 1.0
83    * thick_shell1    = 50.0 [A]
84    * thick_shell2    = 50.0 [A]
85    * thick_shell3    = 50.0 [A]
86    * thick_shell4    = 50.0 [A]
87    * thick_shell5    = 50.0 [A]
88    * thick_shell6    = 50.0 [A]
89    * thick_shell7    = 50.0 [A]
90    * thick_shell8    = 50.0 [A]
91    * thick_shell9    = 50.0 [A]
92    * thick_shell10   = 50.0 [A]
93    * func_shell1     = 2.0
94    * func_shell2     = 2.0
95    * func_shell3     = 2.0
96    * func_shell4     = 2.0
97    * func_shell5     = 2.0
98    * func_shell6     = 2.0
99    * func_shell7     = 2.0
100    * func_shell8     = 2.0
101    * func_shell9     = 2.0
102    * func_shell10    = 2.0
103
104    """
105       
106    def __init__(self, multfactor=1):
107        """ Initialization """
108        self.__dict__ = {}
109       
110        # Initialize BaseComponent first, then sphere
111        BaseComponent.__init__(self)
112        #apply(COnionModel.__init__, (self,))
113
114        COnionModel.__init__(self)
115        self.is_multifunc = False
116                       
117        ## Name of the model
118        self.name = "OnionModel"
119        ## Model description
120        self.description = """
121        Form factor of mutishells normalized by the volume. Here each shell is described
122                by an exponential function;
123                I)
124                For A_shell != 0,
125                f(r) = B*exp(A_shell*(r-r_in)/thick_shell)+C
126                where
127                B=(sld_out-sld_in)/(exp(A_shell)-1)
128                C=sld_in-B.
129                Note that in the above case,
130                the function becomes a linear function
131                as A_shell --> 0+ or 0-.
132                II)
133                For the exact point of A_shell == 0,
134                f(r) = sld_in ,i.e., it crosses over flat function
135                Note that the 'sld_out' becaomes NULL in this case.
136               
137                background:background,
138                rad_core0: radius of sphere(core)
139                thick_shell#:the thickness of the shell#
140                sld_core0: the SLD of the sphere
141                sld_solv: the SLD of the solvent
142                sld_shell: the SLD of the shell#
143                A_shell#: the coefficient in the exponential function
144        """
145       
146        ## Parameter details [units, min, max]
147        self.details = {}
148        self.details['n_shells'] = ['', None, None]
149        self.details['scale'] = ['', None, None]
150        self.details['rad_core0'] = ['[A]', None, None]
151        self.details['sld_core0'] = ['[1/A^(2)]', None, None]
152        self.details['sld_solv'] = ['[1/A^(2)]', None, None]
153        self.details['background'] = ['[1/cm]', None, None]
154        self.details['sld_out_shell1'] = ['[1/A^(2)]', None, None]
155        self.details['sld_out_shell2'] = ['[1/A^(2)]', None, None]
156        self.details['sld_out_shell3'] = ['[1/A^(2)]', None, None]
157        self.details['sld_out_shell4'] = ['[1/A^(2)]', None, None]
158        self.details['sld_out_shell5'] = ['[1/A^(2)]', None, None]
159        self.details['sld_out_shell6'] = ['[1/A^(2)]', None, None]
160        self.details['sld_out_shell7'] = ['[1/A^(2)]', None, None]
161        self.details['sld_out_shell8'] = ['[1/A^(2)]', None, None]
162        self.details['sld_out_shell9'] = ['[1/A^(2)]', None, None]
163        self.details['sld_out_shell10'] = ['[1/A^(2)]', None, None]
164        self.details['sld_in_shell1'] = ['[1/A^(2)]', None, None]
165        self.details['sld_in_shell2'] = ['[1/A^(2)]', None, None]
166        self.details['sld_in_shell3'] = ['[1/A^(2)]', None, None]
167        self.details['sld_in_shell4'] = ['[1/A^(2)]', None, None]
168        self.details['sld_in_shell5'] = ['[1/A^(2)]', None, None]
169        self.details['sld_in_shell6'] = ['[1/A^(2)]', None, None]
170        self.details['sld_in_shell7'] = ['[1/A^(2)]', None, None]
171        self.details['sld_in_shell8'] = ['[1/A^(2)]', None, None]
172        self.details['sld_in_shell9'] = ['[1/A^(2)]', None, None]
173        self.details['sld_in_shell10'] = ['[1/A^(2)]', None, None]
174        self.details['A_shell1'] = ['', None, None]
175        self.details['A_shell2'] = ['', None, None]
176        self.details['A_shell3'] = ['', None, None]
177        self.details['A_shell4'] = ['', None, None]
178        self.details['A_shell5'] = ['', None, None]
179        self.details['A_shell6'] = ['', None, None]
180        self.details['A_shell7'] = ['', None, None]
181        self.details['A_shell8'] = ['', None, None]
182        self.details['A_shell9'] = ['', None, None]
183        self.details['A_shell10'] = ['', None, None]
184        self.details['thick_shell1'] = ['[A]', None, None]
185        self.details['thick_shell2'] = ['[A]', None, None]
186        self.details['thick_shell3'] = ['[A]', None, None]
187        self.details['thick_shell4'] = ['[A]', None, None]
188        self.details['thick_shell5'] = ['[A]', None, None]
189        self.details['thick_shell6'] = ['[A]', None, None]
190        self.details['thick_shell7'] = ['[A]', None, None]
191        self.details['thick_shell8'] = ['[A]', None, None]
192        self.details['thick_shell9'] = ['[A]', None, None]
193        self.details['thick_shell10'] = ['[A]', None, None]
194        self.details['func_shell1'] = ['', None, None]
195        self.details['func_shell2'] = ['', None, None]
196        self.details['func_shell3'] = ['', None, None]
197        self.details['func_shell4'] = ['', None, None]
198        self.details['func_shell5'] = ['', None, None]
199        self.details['func_shell6'] = ['', None, None]
200        self.details['func_shell7'] = ['', None, None]
201        self.details['func_shell8'] = ['', None, None]
202        self.details['func_shell9'] = ['', None, None]
203        self.details['func_shell10'] = ['', None, None]
204
205        ## fittable parameters
206        self.fixed = ['rad_core0.width',
207                      'thick_shell1.width',
208                      'thick_shell2.width',
209                      'thick_shell3.width',
210                      'thick_shell4.width',
211                      'thick_shell5.width',
212                      'thick_shell6.width',
213                      'thick_shell7.width',
214                      'thick_shell8.width',
215                      'thick_shell9.width',
216                      'thick_shell10.width']
217       
218        ## non-fittable parameters
219        self.non_fittable = []
220       
221        ## parameters with orientation
222        self.orientation_params = []
223
224        ## parameters with magnetism
225        self.magnetic_params = []
226
227        self.category = None
228        self.multiplicity_info = None
229       
230    def __setstate__(self, state):
231        """
232        restore the state of a model from pickle
233        """
234        self.__dict__, self.params, self.dispersion = state
235       
236    def __reduce_ex__(self, proto):
237        """
238        Overwrite the __reduce_ex__ of PyTypeObject *type call in the init of
239        c model.
240        """
241        state = (self.__dict__, self.params, self.dispersion)
242        return (create_OnionModel, tuple(), state, None, None)
243       
244    def clone(self):
245        """ Return a identical copy of self """
246        return self._clone(OnionModel())   
247       
248    def run(self, x=0.0):
249        """
250        Evaluate the model
251       
252        :param x: input q, or [q,phi]
253       
254        :return: scattering function P(q)
255       
256        """
257        return COnionModel.run(self, x)
258   
259    def runXY(self, x=0.0):
260        """
261        Evaluate the model in cartesian coordinates
262       
263        :param x: input q, or [qx, qy]
264       
265        :return: scattering function P(q)
266       
267        """
268        return COnionModel.runXY(self, x)
269       
270    def evalDistribution(self, x):
271        """
272        Evaluate the model in cartesian coordinates
273       
274        :param x: input q[], or [qx[], qy[]]
275       
276        :return: scattering function P(q[])
277       
278        """
279        return COnionModel.evalDistribution(self, x)
280       
281    def calculate_ER(self):
282        """
283        Calculate the effective radius for P(q)*S(q)
284       
285        :return: the value of the effective radius
286       
287        """       
288        return COnionModel.calculate_ER(self)
289       
290    def calculate_VR(self):
291        """
292        Calculate the volf ratio for P(q)*S(q)
293       
294        :return: the value of the volf ratio
295       
296        """       
297        return COnionModel.calculate_VR(self)
298             
299    def set_dispersion(self, parameter, dispersion):
300        """
301        Set the dispersion object for a model parameter
302       
303        :param parameter: name of the parameter [string]
304        :param dispersion: dispersion object of type DispersionModel
305       
306        """
307        return COnionModel.set_dispersion(self,
308               parameter, dispersion.cdisp)
309       
310   
311# End of file
312
Note: See TracBrowser for help on using the repository browser.