Journal
SOFTWAREX
Volume 14, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.softx.2021.100680
Keywords
Gravitational waves; Neutron stars; Black holes; Multi-messenger astrophysics; Data analysis
Categories
Funding
- National Science Foundation, USA [PHY-1454389, OAC-1642391, PHY-1700765, OAC-1841480, PHY-1607178, PHY-1847350]
- Charles E. Kaufman Foundation of The Pittsburgh Foundation, USA
- LIGO Laboratory through National Science Foundation, USA [PHY-1764464]
Ask authors/readers for more resources
The GstLAL library, originating from Gstreamer and the LIGO Algorithm Library, utilizes a stream-based method for processing gravitational-wave data. While primarily used for detecting gravitational-wave signatures of merging black holes and neutron stars, GstLAL has also been important in other gravitational-wave searches, data calibration, and detector-characterization efforts. It has been crucial in all LIGO-Virgo collaboration detections and has enabled rapid electromagnetic follow-up for numerous compact binary candidates.
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. (C) 2021 The Authors. Published by Elsevier B.V.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
