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Releases: cta-observatory/ctapipe_io_lst

v0.8.0

04 Mar 16:08
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v0.7.0

04 Mar 09:07
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Event timestamp calculation was changed, tib counter as source was removed and the traitlets also changed, code needs to be adapted.

  • Update example config for new EventTimeCalculator traitlets (#75) @maxnoe
  • Remove option to calculate timestamp from TIB, allow using svc.date as reference (#72) @maxnoe
  • Run flat field tagging on all event types (#74) @maxnoe
  • Fix copy/paste error in manifest (#73) @maxnoe

v0.6.5

22 Feb 14:48
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v0.6.4

17 Feb 17:25
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  • Change default of ff and ped failing pixels to False (#65) @maxnoe

v0.6.3

17 Feb 08:43
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v0.6.2

16 Feb 14:58
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Fix reading of data with switched off modules

R0 waveforms will contain uint16 maxval for switched off modules
R1 waveforms will contain nan for switched off modules

v0.6.1

12 Feb 14:09
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v0.6.1

  • add fill_timestamp traitlet to be able to deactivate filling time info when not available (UCTS not available)
  • add calibrate_flatfields_and_pedestals traitlat to activate/deactivate calibrating flat field and pedestal events

v0.6.0

03 Feb 17:12
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What’s Changed

This is the first release of ctapipe_io_lst that includes the calibration to R1, making the LSTEventSource suitable
to be used directly with ctapipe tools.

Merged PRs:

  • Use tib trigger if available by default (#57) @maxnoe
  • Fix datalevels and add missing config=True (#58) @maxnoe
  • Fix for lstchain#559 (#56) @maxnoe
  • Use plain list, fixes interop with ctapipe for printing all help (#55) @maxnoe
  • Use setuptools_scm for versioning (#51) @maxnoe
  • First version of ctapipe compatible event source (#44) @maxnoe
  • Changes for calibration tools (#53) @FrancaCassol
  • Switch to github actions (#52) @maxnoe
  • Replace struct loop with numpy.view and correct dtype (#49) @maxnoe
  • Add provenance tracking missing for input files (#45) @Bultako

v0.5.3

10 Jul 15:19
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v0.5.2

07 Jul 19:04
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v0.5.2 Pre-release
Pre-release

What’s Changed

  • Added missing units in the time step of the reference pulse shape (#38) @moralejo