source: sasview/sansmodels/src/sans/models/FuzzySphereModel.py @ d734a3b1

#!/usr/bin/env python
"""
        This software was developed by the University of Tennessee as part of the
        Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
        project funded by the US National Science Foundation.

        If you use DANSE applications to do scientific research that leads to
        publication, we ask that you acknowledge the use of the software with the
        following sentence:

        "This work benefited from DANSE software developed under NSF award DMR-0520547."

        copyright 2008, University of Tennessee
"""

""" Provide functionality for a C extension model

        WARNING: THIS FILE WAS GENERATED BY WRAPPERGENERATOR.PY
                 DO NOT MODIFY THIS FILE, MODIFY ..\c_extensions\fuzzysphere.h
                 AND RE-RUN THE GENERATOR SCRIPT

"""

from sans.models.BaseComponent import BaseComponent
from sans_extension.c_models import CFuzzySphereModel
import copy    
    
class FuzzySphereModel(CFuzzySphereModel, BaseComponent):
    """ Class that evaluates a FuzzySphereModel model. 
        This file was auto-generated from ..\c_extensions\fuzzysphere.h.
        Refer to that file and the structure it contains
        for details of the model.
        List of default parameters:
         scale           = 0.01 
         radius          = 60.0 [A]
         fuzziness       = 10.0 [A]
         sldSph          = 1e-006 [1/A^(2)]
         sldSolv         = 3e-006 [1/A^(2)]
         background      = 0.001 [1/cm]

    """
        
    def __init__(self):
        """ Initialization """
        
        # Initialize BaseComponent first, then sphere
        BaseComponent.__init__(self)
        CFuzzySphereModel.__init__(self)
        
        ## Name of the model
        self.name = "FuzzySphereModel"
        ## Model description
        self.description ="""
                scale: scale factor times volume fraction,
                or just volume fraction for absolute scale data
                radius: radius of the solid sphere
                fuzziness = the STD of the height of fuzzy interfacial
                thickness (ie., so-called interfacial roughness)
                sldSph: the SLD of the sphere
                sldSolv: the SLD of the solvent
                background: incoherent background
                Note: By definition, this function works only when fuzziness << radius."""
       
        ## Parameter details [units, min, max]
        self.details = {}
        self.details['scale'] = ['', None, None]
        self.details['radius'] = ['[A]', None, None]
        self.details['fuzziness'] = ['[A]', None, None]
        self.details['sldSph'] = ['[1/A^(2)]', None, None]
        self.details['sldSolv'] = ['[1/A^(2)]', None, None]
        self.details['background'] = ['[1/cm]', None, None]

        ## fittable parameters
        self.fixed=['radius.width', 'fuzziness.width']
        
        ## parameters with orientation
        self.orientation_params =[]
   
    def clone(self):
        """ Return a identical copy of self """
        return self._clone(FuzzySphereModel())   
        
    def __getstate__(self):
        """ return object state for pickling and copying """
        model_state = {'params': self.params, 'dispersion': self.dispersion, 'log': self.log}
        
        return self.__dict__, model_state
        
    def __setstate__(self, state):
        """ create object from pickled state """
        
        self.__dict__, model_state = state
        self.params = model_state['params']
        self.dispersion = model_state['dispersion']
        self.log = model_state['log']
        
   
    def run(self, x = 0.0):
        """ Evaluate the model
            @param x: input q, or [q,phi]
            @return: scattering function P(q)
        """
        
        return CFuzzySphereModel.run(self, x)
   
    def runXY(self, x = 0.0):
        """ Evaluate the model in cartesian coordinates
            @param x: input q, or [qx, qy]
            @return: scattering function P(q)
        """
        
        return CFuzzySphereModel.runXY(self, x)
        
    def evalDistribution(self, x = []):
        """ Evaluate the model in cartesian coordinates
            @param x: input q[], or [qx[], qy[]]
            @return: scattering function P(q[])
        """
        return CFuzzySphereModel.evalDistribution(self, x)
        
    def calculate_ER(self):
        """ Calculate the effective radius for P(q)*S(q)
            @return: the value of the effective radius
        """       
        return CFuzzySphereModel.calculate_ER(self)
        
    def set_dispersion(self, parameter, dispersion):
        """
            Set the dispersion object for a model parameter
            @param parameter: name of the parameter [string]
            @dispersion: dispersion object of type DispersionModel
        """
        return CFuzzySphereModel.set_dispersion(self, parameter, dispersion.cdisp)
        
   
# End of file