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LSST Data Management Base Package
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Public Member Functions | |
__call__ (self, image, **kwargs) | |
Static Public Attributes | |
str | LinearityType = "Spline" |
Correct non-linearity with a spline model. corrImage = uncorrImage - Spline(coeffs, uncorrImage) Notes ----- The spline fit calculates a correction as a function of the expected linear flux term. Because of this, the correction needs to be subtracted from the observed flux.
Definition at line 720 of file linearize.py.
lsst.ip.isr.linearize.LinearizeSpline.__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 `numpy.array`). ``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.
Reimplemented from lsst.ip.isr.linearize.LinearizeBase.
Definition at line 735 of file linearize.py.
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static |
Definition at line 733 of file linearize.py.