Real-time Search for Compact Binary Mergers in Advanced LIGO and Virgo's Third Observing Run Using PyCBC Live
The third observing run of Advanced LIGO and Advanced Virgo took place between 2019 April and 2020 March and resulted in dozens of gravitational-wave candidates, many of which are now published as confident detections. A crucial requirement of the third observing run was the rapid identification and public reporting of compact binary mergers, which enabled massive follow-up observation campaigns with electromagnetic and neutrino observatories. PyCBC Live is a low-latency search for compact binary mergers based on frequency-domain matched filtering, which was used during the second and third observing runs, together with other low-latency analyses, to generate these rapid alerts from the data acquired by LIGO and Virgo. This paper describes and evaluates the improvements made to PyCBC Live after the second observing run, which defined its operation and performance during the third observing run.
© 2021. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Received 2021 June 25; revised 2021 September 22; accepted 2021 October 12; published 2021 December 28. We are grateful to Stuart Anderson, Juan Barayoga, Patrick Brockill, and Sharon Brunett for computing assistance during the operation of PyCBC Live in O3. We also thank Gregory Mendell and Alan Weinstein for reviewing PyCBC Live's O3 configuration and Francesco Pannarale for comments on the manuscript. T.D.C. was supported by an appointment to the NASA Postdoctoral Program at the Goddard Space Flight Center, administered by the Universities Space Research Association under contract with NASA, during part of this work. G.S.C.D., V.V.O., and T.D. acknowledge financial support from the Maria de Maeztu Units of Excellence program MDM-2016-0692, Xunta de Galicia (Centro singular de investigación de Galicia accreditation 2019-2022), and the European Union ERDF. G.S.C.D. and I.W.H. acknowledge the STFC for funding through grant No. ST/T000333/1. We acknowledge the Max Planck Gesellschaft and the Atlas cluster computing team at AEI Hannover for computing support in preparation of this draft. We are also grateful for computational resources provided by the LIGO Laboratory and supported by National Science Foundation grant Nos. PHY-0757058 and PHY-0823459. This paper has LIGO document number LIGO-P2000296 and Virgo document number VIR-0693E-20.
Accepted Version - 2008.07494.pdf
Published - Dal_Canton_2021_ApJ_923_254.pdf