lsst.ip.isr.linearize.LinearizePolynomial Class Reference

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

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

Static Public Attributes
string	LinearityType = "Polynomial"

Detailed Description

Correct non-linearity with a polynomial mode.

corrImage = uncorrImage + sum_i c_i uncorrImage^(2 + i)

where c_i are the linearity coefficients for each amplifier.
Lower order coefficients are not included as they duplicate other
calibration parameters:
    ``"k0"``
        A coefficient multiplied by uncorrImage**0 is equivalent to
        bias level.  Irrelevant for correcting non-linearity.
    ``"k1"``
        A coefficient multiplied by uncorrImage**1 is proportional
        to the gain.  Not necessary for correcting non-linearity.

Definition at line 398 of file linearize.py.

Member Function Documentation

__call__()

def lsst.ip.isr.linearize.LinearizePolynomial.__call__	(		self,
			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`).
    ``"log"``
Logger to handle messages (`lsst.log.Log`).

Returns
-------
output : `bool`
    If true, a correction was applied successfully.

Definition at line 415 of file linearize.py.

Member Data Documentation

LinearityType

string lsst.ip.isr.linearize.LinearizePolynomial.LinearityType = "Polynomial"

static

Definition at line 413 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