GstLAL: A software framework for gravitational wave discovery

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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Bibliographic Details
Main Authors: 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, Alexander Pace, Stephen Privitera, Iris de Ruiter, Surabhi Sachdev, Leo Singer, Divya Singh, Ron Tapia, Leo Tsukada, Daichi Tsuna, Takuya Tsutsui, Koh Ueno, Aaron Viets, Leslie Wade, Madeline Wade
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:SoftwareX
Subjects:
Gravitational waves
Neutron stars
Black holes
Multi-messenger astrophysics
Data analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S235271102100025X

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http://www.sciencedirect.com/science/article/pii/S235271102100025X

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