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 o...

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Vydáno v:SoftwareX Ročník 14; s. 100680
Hlavní autoři: Cannon, Kipp, Caudill, Sarah, Chan, Chiwai, Cousins, Bryce, Creighton, Jolien D.E., Ewing, Becca, Fong, Heather, Godwin, Patrick, Hanna, Chad, Hooper, Shaun, Huxford, Rachael, Magee, Ryan, Meacher, Duncan, Messick, Cody, Morisaki, Soichiro, Mukherjee, Debnandini, Ohta, Hiroaki, Pace, Alexander, Privitera, Stephen, de Ruiter, Iris, Sachdev, Surabhi, Singer, Leo, Singh, Divya, Tapia, Ron, Tsukada, Leo, Tsuna, Daichi, Tsutsui, Takuya, Ueno, Koh, Viets, Aaron, Wade, Leslie, Wade, Madeline
Médium: Journal Article
Jazyk:angličtina
Vydáno: Goddard Space Flight Center Elsevier B.V 01.06.2021
Elsevier
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ISSN:2352-7110, 2352-7110
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Popis
Shrnutí: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.
Bibliografie:GSFC
Goddard Space Flight Center
ISSN:2352-7110
2352-7110
DOI:10.1016/j.softx.2021.100680