Automating the Inclusion of Subthreshold Signal-to-Noise Ratios for Rapid Gravitational-Wave Localization
Cody Messick, Surabhi Sachdev, Kipp Cannon, Sarah Caudill, Chiwai, Chan, Jolien D. E. Creighton, Ryan Everett, Becca Ewing, Heather Fong,, Patrick Godwin, Chad Hanna, Rachael Huxford, Shasvath Kapadia, Alvin K. Y., Li, Rico K. L. Lo, Ryan Magee, Duncan Meacher

TL;DR
This paper introduces an automated method to incorporate subthreshold signal-to-noise ratios into rapid gravitational-wave localization, improving the precision of event localization without manual intervention.
Contribution
It automates the use of all detector SNRs, including subthreshold signals, in the GstLAL pipeline for faster and more accurate GW event localization.
Findings
Localization area reduced by incorporating subthreshold SNRs
Fraction of well-localized events increased by 18%
Demonstrated effectiveness with simulated binary neutron star detections
Abstract
The accurate localization of gravitational-wave (GW) events in low-latency is a crucial element in the search for further multimessenger signals from these cataclysmic events. The localization of these events in low-latency uses signal-to-noise ratio (SNR) time-series from matched-filtered searches which identify candidate events. Here we report on an improvement to the GstLAL-based inspiral pipeline, the low-latency pipeline that identified GW170817 and GW190425, which automates the use of SNRs from all detectors in the network in rapid localization of GW events. This improvement was incorporated into the detection pipeline prior to the recent third observing run of the Advanced LIGO and Advanced Virgo detector network. Previously for this pipeline, manual intervention was required to use SNRs from all detectors if a candidate GW event was below an SNR threshold for any detector in the…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Seismology and Earthquake Studies · Atomic and Subatomic Physics Research
