TY - JOUR
T1 - GstLAL
T2 - A software framework for gravitational wave discovery
AU - Cannon, Kipp
AU - Caudill, Sarah
AU - Chan, Chiwai
AU - Cousins, Bryce
AU - Creighton, Jolien D.E.
AU - Ewing, Becca
AU - Fong, Heather
AU - Godwin, Patrick
AU - Hanna, Chad
AU - Hooper, Shaun
AU - Huxford, Rachael
AU - Magee, Ryan
AU - Meacher, Duncan
AU - Messick, Cody
AU - Morisaki, Soichiro
AU - Mukherjee, Debnandini
AU - Ohta, Hiroaki
AU - Pace, Alexander
AU - Privitera, Stephen
AU - de Ruiter, Iris
AU - Sachdev, Surabhi
AU - Singer, Leo
AU - Singh, Divya
AU - Tapia, Ron
AU - Tsukada, Leo
AU - Tsuna, Daichi
AU - Tsutsui, Takuya
AU - Ueno, Koh
AU - Viets, Aaron
AU - Wade, Leslie
AU - Wade, Madeline
N1 - Funding Information:
Funding for this work was provided by the National Science Foundation, USA through awards: PHY-1454389 , OAC-1642391 , PHY-1700765 , OAC-1841480 , PHY-1607178 , and PHY-1847350 . Funding for this project was provided by the Charles E. Kaufman Foundation of The Pittsburgh Foundation, USA . Computations for this research were performed on the Pennsylvania State University’s Institute for Computational and Data Sciences Advanced CyberInfrastructure (ICDS-ACI) and VM hosting. We are grateful for computational resources provided by the Leonard E Parker Center for Gravitation, Cosmology and Astrophysics at the University of Wisconsin-Milwaukee. Computing support was provided by the LIGO Laboratory through National Science Foundation, USA grant PHY-1764464 . GstLAL relies on many other open source software libraries; we gratefully acknowledge the development and support of NumPy [86] , SciPy [87] , PyGTK [88] , PyGST [89] , Bottle [42] , Kafka [90] , Fftw3F [91] , Intel MKL [92] , GLib2 [93] , GNU Scientific Library [94] , and GWpy [95] . The authors gratefully acknowledge the LIGO-Virgo-Kagra collaboration, USA for support, review, and valuable critiques throughout various stages of development of the GstLAL library. We are especially thankful for collaborations within the Compact Binary Coalescence working group.
Publisher Copyright:
© 2021 The Authors
PY - 2021/6
Y1 - 2021/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85101846217&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85101846217&partnerID=8YFLogxK
U2 - 10.1016/j.softx.2021.100680
DO - 10.1016/j.softx.2021.100680
M3 - Article
AN - SCOPUS:85101846217
SN - 2352-7110
VL - 14
JO - SoftwareX
JF - SoftwareX
M1 - 100680
ER -