LSST Applications 27.0.0,g0265f82a02+469cd937ee,g02d81e74bb+21ad69e7e1,g1470d8bcf6+cbe83ee85a,g2079a07aa2+e67c6346a6,g212a7c68fe+04a9158687,g2305ad1205+94392ce272,g295015adf3+81dd352a9d,g2bbee38e9b+469cd937ee,g337abbeb29+469cd937ee,g3939d97d7f+72a9f7b576,g487adcacf7+71499e7cba,g50ff169b8f+5929b3527e,g52b1c1532d+a6fc98d2e7,g591dd9f2cf+df404f777f,g5a732f18d5+be83d3ecdb,g64a986408d+21ad69e7e1,g858d7b2824+21ad69e7e1,g8a8a8dda67+a6fc98d2e7,g99cad8db69+f62e5b0af5,g9ddcbc5298+d4bad12328,ga1e77700b3+9c366c4306,ga8c6da7877+71e4819109,gb0e22166c9+25ba2f69a1,gb6a65358fc+469cd937ee,gbb8dafda3b+69d3c0e320,gc07e1c2157+a98bf949bb,gc120e1dc64+615ec43309,gc28159a63d+469cd937ee,gcf0d15dbbd+72a9f7b576,gdaeeff99f8+a38ce5ea23,ge6526c86ff+3a7c1ac5f1,ge79ae78c31+469cd937ee,gee10cc3b42+a6fc98d2e7,gf1cff7945b+21ad69e7e1,gfbcc870c63+9a11dc8c8f
LSST Data Management Base Package
|
Public Member Functions | |
__call__ (self, image, **kwargs) | |
Static Public Attributes | |
str | LinearityType = "Polynomial" |
Correct non-linearity with a polynomial mode. .. code-block:: 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 620 of file linearize.py.
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`). 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 (`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 640 of file linearize.py.
|
static |
Definition at line 638 of file linearize.py.