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Releases: spacetelescope/stcal

1.6.0

15 Feb 16:08
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What's Changed

  • JP-3521: Fix jump multiprocessing error by @mwregan2 in #239
  • JP-3448: Always flag at least one group when showers are detected by @mwregan2 in #237
  • JP-3525: Merge jump and ramp_fitting docs content with jwst docs by @hbushouse in #240
  • JP-3502: Extend snowball flags to next integration by @mwregan2 in #238
  • Update metadata for 1.6.0 release by @jhunkeler in #241

New Contributors

Full Changelog: 1.5.2...1.6.0

1.5.2

13 Dec 15:41
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1.5.1

16 Nov 15:26
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re-release of 1.5.0 to publish source distribution

Full Changelog: 1.5.0...1.5.1

stcal 1.5.0

15 Nov 18:29
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New Contributors

Full Changelog: 1.4.4...1.5.0

stcal 1.4.4

15 Sep 14:16
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Full Changelog: 1.4.3...1.4.4

stcal 1.4.3

13 Sep 18:36
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New Contributors

Full Changelog: 1.4.2...1.4.3

stcal v 1.4.2

11 Jul 12:39
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Full Changelog: 1.4.1...1.4.2

STCAL v 1.4.1

29 Jun 13:32
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Bug Fix Release

jump

  • Added statement to prevent the number of cores used in multiprocessing from
    being larger than the number of rows. This was causing some CI tests to fail. [#176]

STCAL v 1.4.0

27 Jun 19:09
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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]

1.3.8

31 May 17:06
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Full Changelog: 1.3.7...1.3.8