Provide base functionality for all model components @author: Mathieu Doucet / UTK @contact: mathieu.doucet@nist.gov
Bases: sans.models.BaseComponent.BaseComponent
Basic model component for Subtraction Provides basic arithmetics
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 @param name: name of the parameter @return: value of the parameter
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 each part of the component and sum the results @param x: input parameter @return: value of the model at x
Evaluate each part of the component and sum the results @param x: input parameter @return: value of the model at x
Set the value of a model parameter @param name: name of parameter to set @param value: value to give the paramter