STCAL v 1.4.0
Bug Fixes
jump
- Updated the jump detection to switch to using the numpy sigmaclip routine to
find the actual rms across integrations when there are at least 101 integrations
in the exposure. This still allows cosmic rays and snowballs/showers to be flagged
without being affected by slope variations due to either brigher-fatter/charge-spilling
or errors in the nonlinearity correction. - Also added the counting of the number of cosmic rays and snowballs/showers that
is then placed in the FITS header in the JWST routines. [#174]
ramp_fitting
-
Changing where time division occurs during ramp fitting in order to
properly handle special cases where the time is not group time, such
as when ZEROFRAME data is used, so the time is frame time. [#173] -
Added another line of code to be included in the section where warnings are turned
off. The large number of warnings can cause a hang in the Jupyter notebook when
running with multiprocessing. [#174]