Provide F(x) = scale/( 1 + (x*L)^2 )^(2) + background DAB (Debye Anderson Brumberger) function as a BaseComponent model
Bases: sans.models.BaseComponent.BaseComponent
Class that evaluates a DAB model.
F(x) = scale*(L^3)/( 1 + (x*L)^2 )^(2) + background
Returns a new object identical to the current object
Evaluate a distribution of q-values.
For 1D, a numpy array is expected as input:
evalDistribution(q)
where q is a numpy array.
qx_prime = [ qx[0], qx[1], qx[2], ....] and qy_prime = [ qy[0], qy[1], qy[2], ....]
Then get q = numpy.sqrt(qx_prime^2+qy_prime^2)
that is a qr in 1D array; q = [q[0], q[1], q[2], ....]
Note : | Due to 2D speed issue, no anisotropic scattering is supported for python models, thus C-models should have
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The method is then called the following way:
evalDistribution(q) where q is a numpy array.
Parameters: | qdist – ndarray of scalar q-values or list [qx,qy] where qx,qy are 1D ndarrays |
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Return a list of all available parameters for the model
Set the value of a model parameter
Parameters: | name – name of the parameter |
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Return a list of all available parameters for the model
Check if a given parameter is fittable or not
Parameters: | par_name – the parameter name to check |
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Evaluate the model @param x: input q-value (float or [float, float] as [r, theta]) @return: (DAB value)
Evaluate the model @param x: input q-value (float or [float, float] as [qx, qy]) @return: DAB value
Set the value of a model parameter
Parameters: |
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