Characterizing Low-Latency Sky Localization in Multi-Detector Gravitational-Wave Networks
Amazigh Ouzriat, Viola Sordini, Francesco Di Renzo

TL;DR
This paper evaluates the performance of low-latency sky localization in multi-detector gravitational-wave networks, highlighting the importance of including Virgo for accurate localization and proposing diagnostics for alert vetting.
Contribution
It provides a comprehensive assessment of sky localization accuracy using BAYESTAR, including the impact of Virgo and low-SNR signals, and introduces diagnostics to identify problematic skymaps.
Findings
Including Virgo improves localization accuracy for BNS mergers.
Low-SNR Virgo signals can degrade localization when excluded.
Diagnostics can flag unreliable skymaps in real-time.
Abstract
Low-latency analyses of gravitational-wave (GW) data from LIGO, Virgo, and KAGRA enable rapid detection of compact binary coalescences (CBC) and prompt sky localization, essential for electromagnetic follow-up in multi-messenger astronomy. We evaluate the performance and limitations of low-latency sky localization using BAYESTAR algorithm, and investigate the impact of low-significance Virgo triggers. We inject simulated CBC signals into Gaussian-stationary noise and into Virgo data from the second part of the third LIGO-Virgo observing run (O3b), then reconstruct skymaps across multiple detector network configurations. Localization accuracy is assessed using Percentile-Percentile plots, the Jaccard index, and the Kullback-Leibler divergence. Binary neutron star mergers are statistically consistent with ideal calibration, showing deviations below 3, particularly when Virgo is…
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