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  GstLAL: A software framework for gravitational wave discovery

Cannon, K., Caudill, S., Chan, C., Cousins, B., Creighton, J. D. E., Ewing, B., et al. (2021). GstLAL: A software framework for gravitational wave discovery. SoftwareX, 14: 100680. doi:10.1016/j.softx.2021.100680.

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 Creators:
Cannon, Kipp, Author
Caudill, Sarah, Author
Chan, Chiwai, Author
Cousins, Bryce, Author
Creighton, Jolien D. E., Author
Ewing, Becca, Author
Fong, Heather, Author
Godwin, Patrick, Author
Hanna, Chad, Author
Hooper, Shaun, Author
Huxford, Rachael, Author
Magee, Ryan, Author
Meacher, Duncan, Author
Messick, Cody, Author
Morisaki, Soichiro, Author
Mukherjee, Debnandini, Author
Ohta, Hiroaki, Author
Pace, Alexander, Author
Privitera, Stephen1, Author              
de Ruiter, Iris, Author
Sachdev, Surabhi, AuthorSinger, Leo, AuthorSingh, Divya, AuthorTapia, Ron, AuthorTsukada, Leo, AuthorTsuna, Daichi, AuthorTsutsui, Takuya, AuthorUeno, Koh, AuthorViets, Aaron, AuthorWade, Leslie, AuthorWade, Madeline, Author more..
Affiliations:
1Astrophysical and Cosmological Relativity, AEI-Golm, MPI for Gravitational Physics, Max Planck Society, ou_1933290              

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Free keywords: Astrophysics, Instrumentation and Methods for Astrophysics, astro-ph.IM
 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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 Dates: 2020-10-102021
 Publication Status: Published in print
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 Identifiers: arXiv: 2010.05082
DOI: 10.1016/j.softx.2021.100680
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Title: SoftwareX
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Pages: - Volume / Issue: 14 Sequence Number: 100680 Start / End Page: - Identifier: -