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
TL;DR
GstLAL is a versatile software framework that processes gravitational-wave data in real-time, enabling detection of black hole and neutron star mergers and supporting rapid electromagnetic follow-up observations.
Contribution
This paper introduces GstLAL, a new stream-based software framework derived from Gstreamer and LIGO algorithms, enhancing gravitational-wave data analysis capabilities.
Findings
Integral to all LIGO-Virgo detections
Enabled rapid electromagnetic follow-up
Supported diverse gravitational-wave searches
Abstract
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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