SIP¶
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class
astropy.modeling.polynomial.
SIP
[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 [R11] 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
[R11] (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. eval
(*args, **kwargs)Deprecated since version 1.0.
evaluate
(x, y)Evaluate the model on some input variables. Attributes Documentation
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inputs
= (u'u', u'v')¶
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outputs
= (u'x', u'y')¶
Methods Documentation
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__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.
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eval
(*args, **kwargs) [edit on github]¶ Deprecated since version 1.0: The eval function is deprecated and may be removed in a future version. Use SIP.evaluate instead.
Evaluate the model on some input variables.
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evaluate
(x, y)[source] [edit on github]¶ Evaluate the model on some input variables.
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