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:
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
python:list
or (2,)ndarray
CRPIX values
- a_order
python:int
SIP polynomial order for first axis
- b_order
python:int
SIP order for second axis
- a_coeff
python:dict
SIP coefficients for first axis
- b_coeff
python:dict
SIP coefficients for the second axis
- ap_order
python:int
order for the inverse transformation (AP coefficients)
- bp_order
python:int
order for the inverse transformation (BP coefficients)
- ap_coeff
python:dict
coefficients for the inverse transform
- bp_coeff
python:dict
coefficients for the inverse transform
- crpix
References
Attributes Summary
Methods Summary
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#
- n_outputs = 2#
Methods Documentation
- __call__()#
Evaluate this model using the given input(s) and the parameter values that were specified when the model was instantiated.