source: sasview/sansmodels/src/sans/models/LamellarPSHGModel.py @ b1a65b6

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Last change on this file since b1a65b6 was 96656e3, checked in by Jae Cho <jhjcho@…>, 14 years ago

update models due to changes of template

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[27a0771]1#!/usr/bin/env python
2
[79ac6f8]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##############################################################################
[27a0771]16
17
[79ac6f8]18"""
19Provide functionality for a C extension model
[27a0771]20
[79ac6f8]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
[27a0771]24
25"""
26
27from sans.models.BaseComponent import BaseComponent
28from sans_extension.c_models import CLamellarPSHGModel
29import copy   
[96656e3]30
31def create_LamellarPSHGModel():
32    obj = LamellarPSHGModel()
33    #CLamellarPSHGModel.__init__(obj) is called by LamellarPSHGModel constructor
34    return obj
35
[27a0771]36class LamellarPSHGModel(CLamellarPSHGModel, BaseComponent):
[79ac6f8]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:
[27a0771]43         scale           = 1.0
44         spacing         = 40.0 [A]
45         deltaT          = 10.0 [A]
46         deltaH          = 2.0 [A]
[27972c1d]47         sld_tail        = 4e-007 [1/A^(2)]
48         sld_head        = 2e-006 [1/A^(2)]
49         sld_solvent     = 6e-006 [1/A^(2)]
[27a0771]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)
[96656e3]61        #apply(CLamellarPSHGModel.__init__, (self,))
[27a0771]62        CLamellarPSHGModel.__init__(self)
63       
64        ## Name of the model
65        self.name = "LamellarPSHGModel"
66        ## Model description
[9188cc1]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 ..."""
[27a0771]86       
[fe9c19b4]87        ## Parameter details [units, min, max]
[27a0771]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]
[27972c1d]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]
[27a0771]96        self.details['n_plates'] = ['', None, None]
97        self.details['caille'] = ['', None, None]
98        self.details['background'] = ['[1/cm]', None, None]
99
[fe9c19b4]100        ## fittable parameters
[9188cc1]101        self.fixed=['deltaT.width', 'deltaH.width', 'spacing.width']
[27a0771]102       
[35aface]103        ## non-fittable parameters
[96656e3]104        self.non_fittable = []
[35aface]105       
[27a0771]106        ## parameters with orientation
[96656e3]107        self.orientation_params = []
[27a0771]108   
[96656e3]109    def __reduce_ex__(self, proto):
[79ac6f8]110        """
[96656e3]111        Overwrite the __reduce_ex__ of PyTypeObject *type call in the init of
112        c model.
[79ac6f8]113        """
[96656e3]114        return (create_LamellarPSHGModel,tuple())
[fe9c19b4]115       
[96656e3]116    def clone(self):
117        """ Return a identical copy of self """
118        return self._clone(LamellarPSHGModel())   
[fe9c19b4]119       
[27a0771]120   
[79ac6f8]121    def run(self, x=0.0):
122        """
123        Evaluate the model
124       
125        :param x: input q, or [q,phi]
126       
127        :return: scattering function P(q)
128       
[27a0771]129        """
130       
131        return CLamellarPSHGModel.run(self, x)
132   
[79ac6f8]133    def runXY(self, x=0.0):
134        """
135        Evaluate the model in cartesian coordinates
136       
137        :param x: input q, or [qx, qy]
138       
139        :return: scattering function P(q)
140       
[27a0771]141        """
142       
143        return CLamellarPSHGModel.runXY(self, x)
144       
[79ac6f8]145    def evalDistribution(self, x=[]):
146        """
147        Evaluate the model in cartesian coordinates
148       
149        :param x: input q[], or [qx[], qy[]]
150       
151        :return: scattering function P(q[])
152       
[870f131]153        """
[f9a1279]154        return CLamellarPSHGModel.evalDistribution(self, x)
[870f131]155       
[5eb9154]156    def calculate_ER(self):
[79ac6f8]157        """
158        Calculate the effective radius for P(q)*S(q)
159       
160        :return: the value of the effective radius
161       
[5eb9154]162        """       
163        return CLamellarPSHGModel.calculate_ER(self)
164       
[27a0771]165    def set_dispersion(self, parameter, dispersion):
166        """
[79ac6f8]167        Set the dispersion object for a model parameter
168       
169        :param parameter: name of the parameter [string]
170        :param dispersion: dispersion object of type DispersionModel
171       
[27a0771]172        """
173        return CLamellarPSHGModel.set_dispersion(self, parameter, dispersion.cdisp)
174       
175   
176# End of file
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