lsst.ip.isr
19.0.0-18-g2c901ce+2
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Public Member Functions | |
def | __call__ (self, image, kwargs) |
Static Public Attributes | |
string | LinearityType = "Polynomial" |
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 739 of file linearize.py.
def lsst.ip.isr.linearize.LinearizePolynomial.__call__ | ( | self, | |
image, | |||
kwargs | |||
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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`). If the order of the polynomial is n, this list should have a length of n-1 ("k0" and "k1" are not needed for the correction). ``"log"`` Logger to handle messages (`lsst.log.Log`). Returns ------- output : `bool` If true, a correction was applied successfully.
Definition at line 756 of file linearize.py.
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static |
Definition at line 754 of file linearize.py.