##############################################################################
# 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 2008-2011, University of Tennessee
##############################################################################
"""
Provide functionality for a C extension model
.. WARNING::
THIS FILE WAS GENERATED BY WRAPPERGENERATOR.PY
DO NOT MODIFY THIS FILE, MODIFY
src/sas/models/include/stacked_disks.h
AND RE-RUN THE GENERATOR SCRIPT
"""
from sas.models.BaseComponent import BaseComponent
from sas.models.sas_extension.c_models import CStackedDisksModel
from numpy import inf
[docs]def create_StackedDisksModel():
"""
Create a model instance
"""
obj = StackedDisksModel()
# CStackedDisksModel.__init__(obj) is called by
# the StackedDisksModel constructor
return obj
[docs]class StackedDisksModel(CStackedDisksModel, BaseComponent):
"""
Class that evaluates a StackedDisksModel model.
This file was auto-generated from src/sas/models/include/stacked_disks.h.
Refer to that file and the structure it contains
for details of the model.
List of default parameters:
* scale = 0.01
* core_thick = 10.0 [A]
* radius = 3000.0 [A]
* layer_thick = 15.0 [A]
* core_sld = 4e-06 [1/A^(2)]
* layer_sld = -4e-07 [1/A^(2)]
* solvent_sld = 5e-06 [1/A^(2)]
* n_stacking = 1.0
* sigma_d = 0.0
* background = 0.001 [1/cm]
* axis_theta = 0.0 [rad]
* axis_phi = 0.0 [rad]
"""
def __init__(self, multfactor=1):
""" Initialization """
self.__dict__ = {}
# Initialize BaseComponent first, then sphere
BaseComponent.__init__(self)
#apply(CStackedDisksModel.__init__, (self,))
CStackedDisksModel.__init__(self)
self.is_multifunc = False
## Name of the model
self.name = "StackedDisksModel"
## Model description
self.description = """
One layer of disk consists of a core, a top layer, and a bottom layer.
radius = the radius of the disk
core_thick = thickness of the core
layer_thick = thickness of a layer
core_sld = the SLD of the core
layer_sld = the SLD of the layers
n_stacking = the number of the disks
sigma_d = Gaussian STD of d-spacing
solvent_sld = the SLD of the solvent
"""
## Parameter details [units, min, max]
self.details = {}
self.details['scale'] = ['', None, None]
self.details['core_thick'] = ['[A]', None, None]
self.details['radius'] = ['[A]', None, None]
self.details['layer_thick'] = ['[A]', None, None]
self.details['core_sld'] = ['[1/A^(2)]', None, None]
self.details['layer_sld'] = ['[1/A^(2)]', None, None]
self.details['solvent_sld'] = ['[1/A^(2)]', None, None]
self.details['n_stacking'] = ['', None, None]
self.details['sigma_d'] = ['', None, None]
self.details['background'] = ['[1/cm]', None, None]
self.details['axis_theta'] = ['[rad]', None, None]
self.details['axis_phi'] = ['[rad]', None, None]
## fittable parameters
self.fixed = ['core_thick.width',
'layer_thick.width',
'radius.width',
'axis_theta.width',
'axis_phi.width']
## non-fittable parameters
self.non_fittable = []
## parameters with orientation
self.orientation_params = ['axis_phi',
'axis_theta',
'axis_phi.width',
'axis_theta.width']
## parameters with magnetism
self.magnetic_params = []
self.category = None
self.multiplicity_info = None
def __setstate__(self, state):
"""
restore the state of a model from pickle
"""
self.__dict__, self.params, self.dispersion = state
def __reduce_ex__(self, proto):
"""
Overwrite the __reduce_ex__ of PyTypeObject *type call in the init of
c model.
"""
state = (self.__dict__, self.params, self.dispersion)
return (create_StackedDisksModel, tuple(), state, None, None)
[docs] def clone(self):
""" Return a identical copy of self """
return self._clone(StackedDisksModel())
[docs] def run(self, x=0.0):
"""
Evaluate the model
:param x: input q, or [q,phi]
:return: scattering function P(q)
"""
return CStackedDisksModel.run(self, x)
[docs] 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 CStackedDisksModel.runXY(self, x)
[docs] def evalDistribution(self, x):
"""
Evaluate the model in cartesian coordinates
:param x: input q[], or [qx[], qy[]]
:return: scattering function P(q[])
"""
return CStackedDisksModel.evalDistribution(self, x)
[docs] def calculate_ER(self):
"""
Calculate the effective radius for P(q)*S(q)
:return: the value of the effective radius
"""
return CStackedDisksModel.calculate_ER(self)
[docs] def calculate_VR(self):
"""
Calculate the volf ratio for P(q)*S(q)
:return: the value of the volf ratio
"""
return CStackedDisksModel.calculate_VR(self)
[docs] def set_dispersion(self, parameter, dispersion):
"""
Set the dispersion object for a model parameter
:param parameter: name of the parameter [string]
:param dispersion: dispersion object of type DispersionModel
"""
return CStackedDisksModel.set_dispersion(self,
parameter, dispersion.cdisp)
# End of file