lsst.ip.isr.linearize.LinearizeSquared Class Reference

Inheritance diagram for lsst.ip.isr.linearize.LinearizeSquared:

Public Member Functions
	__call__ (self, image, **kwargs)

Static Public Attributes
	LinearityType = None

Detailed Description

Correct non-linearity with a squared model.

corrImage = uncorrImage + c0*uncorrImage^2

where c0 is linearity coefficient 0 for each amplifier.

Definition at line 875 of file linearize.py.

Member Function Documentation

__call__()

lsst.ip.isr.linearize.LinearizeSquared.__call__	(		self,
			image,
		**	kwargs )

Correct for non-linearity.

Parameters
----------
image : `lsst.afw.image.Image`
    Image to be corrected
kwargs : `dict`
    Dictionary of parameter keywords:

    ``coeffs``
        Coefficient vector (`list` or `np.ndarray`).
    ``log``
        Logger to handle messages (`logging.Logger`).

Returns
-------
output : `tuple` [`bool`, `int`]
    If true, a correction was applied successfully.  The
    integer indicates the number of pixels that were
    uncorrectable by being out of range.

Definition at line 884 of file linearize.py.

Member Data Documentation

LinearityType

lsst.ip.isr.linearize.LinearizeBase.LinearityType = None

staticinherited

Definition at line 706 of file linearize.py.

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The documentation for this class was generated from the following file:

• python/lsst/ip/isr/linearize.py