LinearizeBase

class lsst.ip.isr.LinearizeBase

Bases: object

Abstract base class functor for correcting non-linearity.

Subclasses must define __call__ and set class variable LinearityType to a string that will be used for linearity type in the cameraGeom.Amplifier.linearityType field.

All linearity corrections should be defined in terms of an additive correction, such that:

corrected_value = uncorrected_value + f(uncorrected_value)

Attributes Summary

LinearityType

Methods Summary

__call__(image, **kwargs)

Correct non-linearity.

Attributes Documentation

LinearityType = None

Methods Documentation

__call__(image, **kwargs)

Correct non-linearity.

Parameters:

image : lsst.afw.image.Image

Image to be corrected

kwargs : dict

Dictionary of parameter keywords:

coeffs

Coefficient vector (list or numpy.array).

table

Lookup table data (numpy.array).

log

Logger to handle messages (logging.Logger).

Returns:

output : bool

If True, a correction was applied successfully.

Raises:

RuntimeError:

Raised if the linearity type listed in the detector does not match the class type.