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
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.