source: sasview/sansmodels/src/sans/models/LamellarPSHGModel.py @ b23b722

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Last change on this file since b23b722 was 92df66f8, checked in by Gervaise Alina <gervyh@…>, 13 years ago

commit wrap model

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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"""
19Provide 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\lamellarPS_HG.h
23         AND RE-RUN THE GENERATOR SCRIPT
24
25"""
26
27from sans.models.BaseComponent import BaseComponent
28from sans.models.sans_extension.c_models import CLamellarPSHGModel
29import copy   
30
31def create_LamellarPSHGModel():
32    obj = LamellarPSHGModel()
33    #CLamellarPSHGModel.__init__(obj) is called by LamellarPSHGModel constructor
34    return obj
35
36class LamellarPSHGModel(CLamellarPSHGModel, BaseComponent):
37    """
38    Class that evaluates a LamellarPSHGModel model.
39    This file was auto-generated from ..\c_extensions\lamellarPS_HG.h.
40    Refer to that file and the structure it contains
41    for details of the model.
42    List of default parameters:
43         scale           = 1.0
44         spacing         = 40.0 [A]
45         deltaT          = 10.0 [A]
46         deltaH          = 2.0 [A]
47         sld_tail        = 4e-07 [1/A^(2)]
48         sld_head        = 2e-06 [1/A^(2)]
49         sld_solvent     = 6e-06 [1/A^(2)]
50         n_plates        = 30.0
51         caille          = 0.001
52         background      = 0.001 [1/cm]
53
54    """
55       
56    def __init__(self):
57        """ Initialization """
58       
59        # Initialize BaseComponent first, then sphere
60        BaseComponent.__init__(self)
61        #apply(CLamellarPSHGModel.__init__, (self,))
62        CLamellarPSHGModel.__init__(self)
63       
64        ## Name of the model
65        self.name = "LamellarPSHGModel"
66        ## Model description
67        self.description ="""[Concentrated Lamellar (head+tail) Form Factor]: Calculates the
68                intensity from a lyotropic lamellar phase.
69                The intensity (form factor and structure factor)
70                calculated is for lamellae of two-layer scattering
71                length density that are randomly distributed in
72                solution (a powder average). The scattering
73                length density of the tail region, headgroup
74                region, and solvent are taken to be different.
75                The model can also be applied to large,
76                multi-lamellar vesicles.
77                No resolution smeared version is included
78                in the structure factor of this model.
79                *Parameters: spacing = repeat spacing,
80                deltaT = tail length,
81                deltaH = headgroup thickness,
82                n_plates = # of Lamellar plates
83                caille = Caille parameter (<0.8 or <1)
84                background = incoherent bgd
85                scale = scale factor ..."""
86       
87        ## Parameter details [units, min, max]
88        self.details = {}
89        self.details['scale'] = ['', None, None]
90        self.details['spacing'] = ['[A]', None, None]
91        self.details['deltaT'] = ['[A]', None, None]
92        self.details['deltaH'] = ['[A]', None, None]
93        self.details['sld_tail'] = ['[1/A^(2)]', None, None]
94        self.details['sld_head'] = ['[1/A^(2)]', None, None]
95        self.details['sld_solvent'] = ['[1/A^(2)]', None, None]
96        self.details['n_plates'] = ['', None, None]
97        self.details['caille'] = ['', None, None]
98        self.details['background'] = ['[1/cm]', None, None]
99
100        ## fittable parameters
101        self.fixed=['deltaT.width', 'deltaH.width', 'spacing.width']
102       
103        ## non-fittable parameters
104        self.non_fittable = []
105       
106        ## parameters with orientation
107        self.orientation_params = []
108
109    def __setstate__(self, state):
110        """
111        restore the state of a model from pickle
112        """
113        self.__dict__, self.params, self.dispersion = state
114       
115    def __reduce_ex__(self, proto):
116        """
117        Overwrite the __reduce_ex__ of PyTypeObject *type call in the init of
118        c model.
119        """
120        state = (self.__dict__, self.params, self.dispersion)
121        return (create_LamellarPSHGModel,tuple(), state, None, None)
122       
123    def clone(self):
124        """ Return a identical copy of self """
125        return self._clone(LamellarPSHGModel())   
126       
127   
128    def run(self, x=0.0):
129        """
130        Evaluate the model
131       
132        :param x: input q, or [q,phi]
133       
134        :return: scattering function P(q)
135       
136        """
137       
138        return CLamellarPSHGModel.run(self, x)
139   
140    def runXY(self, x=0.0):
141        """
142        Evaluate the model in cartesian coordinates
143       
144        :param x: input q, or [qx, qy]
145       
146        :return: scattering function P(q)
147       
148        """
149       
150        return CLamellarPSHGModel.runXY(self, x)
151       
152    def evalDistribution(self, x=[]):
153        """
154        Evaluate the model in cartesian coordinates
155       
156        :param x: input q[], or [qx[], qy[]]
157       
158        :return: scattering function P(q[])
159       
160        """
161        return CLamellarPSHGModel.evalDistribution(self, x)
162       
163    def calculate_ER(self):
164        """
165        Calculate the effective radius for P(q)*S(q)
166       
167        :return: the value of the effective radius
168       
169        """       
170        return CLamellarPSHGModel.calculate_ER(self)
171       
172    def set_dispersion(self, parameter, dispersion):
173        """
174        Set the dispersion object for a model parameter
175       
176        :param parameter: name of the parameter [string]
177        :param dispersion: dispersion object of type DispersionModel
178       
179        """
180        return CLamellarPSHGModel.set_dispersion(self, parameter, dispersion.cdisp)
181       
182   
183# End of file
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