SIP¶

class
astropy.modeling.polynomial.
SIP
(crpix, a_order, b_order, a_coeff={}, b_coeff={}, ap_order=None, bp_order=None, ap_coeff={}, bp_coeff={}, n_models=None, model_set_axis=None, name=None, meta=None)[source] [edit on github]¶ Bases:
astropy.modeling.Model
Simple Imaging Polynomial (SIP) model.
The SIP convention is used to represent distortions in FITS image headers. See [R18] 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
References
[R18] (1, 2) David Shupe, et al, ADASS, ASP Conference Series, Vol. 347, 2005 Attributes Summary
inputs
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. evaluate
(x, y)Evaluate the model on some input variables. Attributes Documentation

inputs
= ('u', 'v')¶

outputs
= ('x', 'y')¶
Methods Documentation

__call__
(u, v, model_set_axis=None) [edit on github]¶ Evaluate this model using the given input(s) and the parameter values that were specified when the model was instantiated.

evaluate
(x, y)[source] [edit on github]¶ Evaluate the model on some input variables.
