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]¶ Bases:
astropy.modeling.Model
Simple Imaging Polynomial (SIP) model.
The SIP convention is used to represent distortions in FITS image headers. See [1] for a description of the SIP convention.
 Parameters
 crpix
list
or (2,)ndarray
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
 crpix
References
Attributes Summary
The number of inputs.
The number of outputs.
Methods Summary
__call__
(*inputs[, 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

n_inputs
= 2¶ The number of inputs.

n_outputs
= 2¶ The number of outputs.
Methods Documentation

__call__
(*inputs, model_set_axis=None, with_bounding_box=False, fill_value=nan, equivalencies=None, inputs_map=None, **new_inputs)¶ Evaluate this model using the given input(s) and the parameter values that were specified when the model was instantiated.