@article{3c9ab8d2b8e74524909eb2ee87b708b1,
title = "GstLAL: A software framework for gravitational wave discovery",
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.",
keywords = "Black holes, Data analysis, Gravitational waves, Multi-messenger astrophysics, Neutron stars",
author = "Kipp Cannon and Sarah Caudill and Chiwai Chan and Bryce Cousins and Creighton, {Jolien D.E.} and Becca Ewing and Heather Fong and Patrick Godwin and Chad Hanna and Shaun Hooper and Rachael Huxford and Ryan Magee and Duncan Meacher and Cody Messick and Soichiro Morisaki and Debnandini Mukherjee and Hiroaki Ohta and Alexander Pace and Stephen Privitera and {de Ruiter}, Iris and Surabhi Sachdev and Leo Singer and Divya Singh and Ron Tapia and Leo Tsukada and Daichi Tsuna and Takuya Tsutsui and Koh Ueno and Aaron Viets and Leslie Wade and Madeline Wade",
note = "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{\textquoteright}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: {\textcopyright} 2021 The Authors",
year = "2021",
month = jun,
doi = "10.1016/j.softx.2021.100680",
language = "English",
volume = "14",
pages = "1--9",
journal = "SoftwareX",
issn = "2352-7110",
publisher = "Elsevier BV",
}