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GstLAL: A software framework for gravitational wave discovery 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.
Document ID
20210017163
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Kipp Cannon
(University of Tokyo Tokyo, Japan)
Sarah Caudill ORCID
(National Institute for Subatomic Physics Amsterdam, Netherlands)
Chiwai Chan
(University of Tokyo Tokyo, Japan)
Bryce Cousins ORCID
(Pennsylvania State University State College, Pennsylvania, United States)
Jolien D.E. Creighton ORCID
(University of Wisconsin–Milwaukee Milwaukee, Wisconsin, United States)
Becca Ewing
(Pennsylvania State University State College, Pennsylvania, United States)
Heather Fong
(University of Tokyo Tokyo, Japan)
Patrick Godwin
(Pennsylvania State University State College, Pennsylvania, United States)
Chad Hanna
(Pennsylvania State University State College, Pennsylvania, United States)
Shaun Hooper
(University of Western Australia Perth, Western Australia, Australia)
Rachael Huxford
(Pennsylvania State University State College, Pennsylvania, United States)
Ryan Magee
(California Institute of Technology Pasadena, California, United States)
Duncan Meacher
(University of Wisconsin–Milwaukee Milwaukee, Wisconsin, United States)
Cody Messick
(The University of Texas at Austin Austin, Texas, United States)
Soichiro Morisaki ORCID
(University of Tokyo Tokyo, Japan)
Leo Singer
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Divya Singh
(Pennsylvania State University State College, Pennsylvania, United States)
Ron Tapia ORCID
(Pennsylvania State University State College, Pennsylvania, United States)
Leo Tsukada
(University of Tokyo Tokyo, Japan)
Daichi Tsuna
(University of Tokyo Tokyo, Japan)
Takuya Tsutsui
(University of Tokyo Tokyo, Japan)
Koh Ueno
(University of Tokyo Tokyo, Japan)
Aaron Viets
(University of Wisconsin–Milwaukee Milwaukee, Wisconsin, United States)
Leslie Wade
(Kenyon College Gambier, Ohio, United States)
Madeline Wade
(Kenyon College Gambier, Ohio, United States)
Date Acquired
June 8, 2021
Publication Date
March 3, 2021
Publication Information
Publication: SoftwareX
Publisher: Elsevier
Volume: 14
Issue Publication Date: June 1, 2021
e-ISSN: 2352-7110
Subject Category
Computer Programming And Software
Astrophysics
Funding Number(s)
WBS: 789737.04.01
CONTRACT_GRANT: PHY-1454389
CONTRACT_GRANT: OAC-1642391
CONTRACT_GRANT: PHY-1700765
CONTRACT_GRANT: OAC-1841480
CONTRACT_GRANT: PHY-1607178
CONTRACT_GRANT: PHY-1847350
CONTRACT_GRANT: PHY-1764464
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
Gravitational waves
Neutron stars
Black holes
Multi-messenger astrophysics
Data analysis
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