SoftwareX (Jun 2021)

GstLAL: A software framework for gravitational wave discovery

  • Kipp Cannon,
  • Sarah Caudill,
  • Chiwai Chan,
  • Bryce Cousins,
  • Jolien D.E. Creighton,
  • Becca Ewing,
  • Heather Fong,
  • Patrick Godwin,
  • Chad Hanna,
  • Shaun Hooper,
  • Rachael Huxford,
  • Ryan Magee,
  • Duncan Meacher,
  • Cody Messick,
  • Soichiro Morisaki,
  • Debnandini Mukherjee,
  • Hiroaki Ohta,
  • Alexander Pace,
  • Stephen Privitera,
  • Iris de Ruiter,
  • Surabhi Sachdev,
  • Leo Singer,
  • Divya Singh,
  • Ron Tapia,
  • Leo Tsukada,
  • Daichi Tsuna,
  • Takuya Tsutsui,
  • Koh Ueno,
  • Aaron Viets,
  • Leslie Wade,
  • Madeline Wade

Journal volume & issue
Vol. 14
p. 100680

Abstract

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The GstLAL library, derived from Gstreamer and the LIGO Algorithm Library, supports a stream-based approach to gravitational-wave data processing. Although GstLAL was primarily designed to search for gravitational-wave signatures of merging black holes and neutron stars, it has also contributed to other gravitational-wave searches, data calibration, and detector-characterization efforts. GstLAL has played an integral role in all of the LIGO-Virgo collaboration detections, and its low-latency configuration has enabled rapid electromagnetic follow-up for dozens of compact binary candidates.

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