SIP

class astropy.modeling.polynomial.SIP

Bases: astropy.modeling.Model

Simple Imaging Polynomial (SIP) model.

The SIP convention is used to represent distortions in FITS image headers. See [R9] for a description of the SIP convention.

Parameters:

crpix : list or ndarray of length(2)

CRPIX values

a_order : int

SIP polynomial order for first axis

b_order : int

SIP order for second axis

a_coeff : dict

SIP coefficients for first axis

b_coeff : dict

SIP coefficients for the second axis

ap_order : int

order for the inverse transformation (AP coefficients)

bp_order : int

order for the inverse transformation (BP coefficients)

ap_coeff : dict

coefficients for the inverse transform

bp_coeff : dict

coefficients for the inverse transform

param_dim : int

number of parameter sets

References

[R9]	(1, 2) David Shupe, et al, ADASS, ASP Conference Series, Vol. 347, 2005

Attributes Summary

inputs
inverse
outputs

Methods Summary

__call__(u, v[, model_set_axis])	Evaluate this model using the given input(s) and the parameter values that were specified when the model was instantiated.
eval(*args, **kwargs)	Deprecated since version 1.0.
evaluate(x, y)	Evaluate the model on some input variables.

Attributes Documentation

inputs = (u'u', u'v')

inverse

outputs = (u'x', u'y')

Methods Documentation

__call__(u, v, model_set_axis=None)

Evaluate this model using the given input(s) and the parameter values that were specified when the model was instantiated.

eval(*args, **kwargs)

Deprecated since version 1.0: The eval function is deprecated and may be removed in a future version. Use SIP.evaluate instead.

evaluate(x, y)

Evaluate the model on some input variables.