1. 09 Feb, 2017 1 commit
  2. 25 Jan, 2017 1 commit
  3. 04 Jan, 2017 1 commit
  4. 15 Dec, 2016 1 commit
  5. 14 Dec, 2016 1 commit
  6. 09 Dec, 2016 2 commits
    • Leo Pound Singer's avatar
      Set matplotlib backend to no-op · 227cb368
      Leo Pound Singer authored
      (cherry picked from commit e003ded0b3c28874a99777aa249840bff990a2f7)
      Original: 71933781441c468a9a5854a0f3b9c3a32e3ffae7
      227cb368
    • Leo Pound Singer's avatar
      Explicitly set no-op Matplotlib backend · 3d443c03
      Leo Pound Singer authored
      Seaborn imports pyplot, which configures the Matplotlib backend. So we must
      set a non-X11 (e.g. agg or no-op) before importing Seaborn.
      (cherry picked from commit 04a4b4a1c68378fe7169fdd49ecb2e256982341e)
      Original: 55f24a7c6042001cac223ca22c9f4e3993ae0f6d
      3d443c03
  7. 03 Dec, 2016 1 commit
  8. 02 Nov, 2016 1 commit
  9. 26 Oct, 2016 1 commit
    • Leo Pound Singer's avatar
      Explicitly set no-op Matplotlib backend · 8ec4e235
      Leo Pound Singer authored
      Seaborn imports pyplot, which configures the Matplotlib backend. So we must
      set a non-X11 (e.g. agg or no-op) before importing Seaborn.
      Original: 04a4b4a1c68378fe7169fdd49ecb2e256982341e
      8ec4e235
  10. 05 Oct, 2016 1 commit
    • Leo Pound Singer's avatar
      Fix typo · ab882644
      Leo Pound Singer authored
      Original: 124e0233770cdee16817ae99be0296e50a60c1a6
      ab882644
  11. 28 Sep, 2016 1 commit
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  17. 21 Jun, 2016 3 commits
  18. 01 Jun, 2016 1 commit
  19. 06 Jan, 2016 1 commit
  20. 08 Dec, 2015 1 commit
    • Leo Pound Singer's avatar
      BAYESTAR workaround for artificial rolloff of PSD · 45e6a113
      Leo Pound Singer authored
      Some folks may have noticed that BAYESTAR sky maps in O1 occasionally
      exhibit many narrow, widely, regularly spaced rings. Here are a few
      recent examples:
      https://gracedb.ligo.org/events/view/G205398
      https://gracedb.ligo.org/events/view/G203488
      https://gracedb.ligo.org/events/view/G187935
      I have heard a few people speculate that this unusual morphology might
      be a standard feature of glitches or very faint events, but I was never
      convinced. I am now certain that these are artifacts due to the
      conditioning of the PSDs from the online gstlal pipeline.
      These PSDs artificially roll off to zero starting at about 95% of their
      maximum frequency of 1024 Hz. Presumably this reflects gstlal’s
      low-pass filter. It is a problem because it implies to BAYESTAR that
      the detector is exquisitely sensitive from about 975 to 1024 Hz. The
      resultant autocorrelation sequence has rapid sinusoidal modulations
      that reflect the implied high power near the Nyquist rate. This causes
      the ring structure in the sky maps because the transverse profile of
      the localization annuli are determined by the autocorrelation sequence.
      From what I have seen, this only affects low-mass (e.g., BNS and NSBH
      systems) because high-mass systems terminate at frequencies below 1024
      Hz. It does not affect MBTA candidates because MBTA’s PSDs appear to be
      sampled up to 2048 Hz (though MBTA’s PSDs also display a hint of a
      rolloff artifact). To be clear, all pipelines (gstlal, MBTA, pycbc)
      display PSD rolloff artifacts.
      This quick fix for BAYESTAR sets the PSD to infinity at frequencies
      above 95% of the maximum rate. We will probably roll back this patch
      later once the issue is fixed upstream.
      Refs #2890.
      Original: ba1c2ddf5535b7765e3754cee1a412515cea5587
      45e6a113
  21. 03 Dec, 2015 1 commit
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  27. 21 Oct, 2015 3 commits
  28. 29 Jul, 2014 1 commit
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  31. 25 Sep, 2013 1 commit
  32. 29 Apr, 2013 1 commit
    • Leo Pound Singer's avatar
      Add bayestar-localization to build · ffa02461
      Leo Pound Singer authored
      - Minimal changes to lalapps build
      - cHEALPix now an optional dependency of lalinference
      - OpenMP acceleration now optional in lalinference
      - Building of Python C extension conditional on Python support
      Original: b29f20ff11e62095dbd44e850b248ecc58b08a13
      ffa02461