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Published January 15, 2020 | Submitted + Published
Journal Article Open

Fast evaluation of multidetector consistency for real-time gravitational wave searches

Abstract

Gravitational waves searches for compact binary mergers with LIGO and Virgo are presently a two stage process. First, a gravitational wave signal is identified. Then, an exhaustive search over possible signal parameters is performed. It is critical that the identification stage is efficient in order to maximize the number of gravitational wave sources that are identified. Initial identification of gravitational wave signals with LIGO and Virgo happens in real-time which requires that less than one second of computational time must be used for each one second of gravitational wave data collected. In contrast, subsequent parameter estimation may require hundreds of hours of computational time to analyze the same one second of gravitational wave data. The real-time identification requirement necessitates efficient and often approximate methods for signal analysis. We describe one piece of real-time gravitational-wave identification: an efficient method for ascertaining a signal's consistency between multiple gravitational wave detectors suitable for real-time gravitational wave searches for compact binary mergers. This technique was used in analyses of Advanced LIGO's second observing run and Advanced Virgo's first observing run.

Additional Information

© 2020 American Physical Society. Received 19 August 2019; published 28 January 2020. This work was supported by the National Science Foundation through Grants No. PHY-1454389, No. OAC-1841480, No. ACI-1642391, No. PHY-1700765, and No. PHY-1607585. Funding for this project was provided by the Charles E. Kaufman Foundation of The Pittsburgh Foundation. We thank the LIGO Scientific Collaboration for input on this work. Specifically, C. H. would like to thank Patrick Brady for several illuminating discussions. This research was supported in part by Perimeter Institute for Theoretical Physics. Research at Perimeter Institute is supported by the Government of Canada through the Department of Innovation, Science, and Economic Development, and by the Province of Ontario through the Ministry of Research and Innovation. Computations for this research were performed on the Pennsylvania State Universitys Institute for CyberScience Advanced CyberInfrastructure (ICS-ACI). We are grateful for computational resources provided by the Leonard E Parker Center for Gravitation, Cosmology and Astrophysics at the University of Wisconsin-Milwaukee and supported by National Science Foundation Grants No. PHY-1626190 and No. PHY-1700765. The authors are grateful for computational resources provided by the LIGO Laboratory and supported by National Science Foundation Grants No. PHY-0757058 and No. PHY-0823459. This paper has LIGO document number: P1800362.

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Published - PhysRevD.101.022003.pdf

Submitted - 1901.02227.pdf

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Additional details

Created:
August 19, 2023
Modified:
October 20, 2023