Rapid localization and inference on compact binary coalescences with the Advanced LIGO-Virgo-KAGRA gravitational-wave detector network
Soichiro Morisaki, Rory Smith, Leo Tsukada, Surabhi Sachdev, Simon, Stevenson, Colm Talbot, Aaron Zimmerman

TL;DR
This paper introduces a fast, scalable parameter estimation framework for gravitational-wave signals from compact binary coalescences, significantly improving source localization speed and accuracy for the LIGO-Virgo-KAGRA network.
Contribution
The authors develop a reduced order quadrature-based framework with multiple bases, enabling rapid and unbiased parameter estimation including complex waveform features.
Findings
Median analysis time of 6 minutes per event
Reduced searched area by approximately 30%
Accurate estimation of source location and parameters
Abstract
We present a rapid parameter estimation framework for compact binary coalescence (CBC) signals observed by the LIGO-Virgo-KAGRA (LVK) detector network. The goal of our framework is to enable optimal source localization of binary neutron star (BNS) signals in low latency, as well as improve the overall scalability of full CBC parameter estimation analyses. Our framework is based on the reduced order quadrature (ROQ) technique, and resolves its shortcomings by utilizing multiple ROQ bases in a single parameter estimation run. We have also developed sets of compact ROQ bases for various waveform models, IMRPhenomD, IMRPhenomPv2, IMRPhenomPv2NRTidalv2, and IMRPhenomXPHM. We benchmark our framework with hundreds of simulated observations of BNS signals by the LIGO-Virgo detector network, and demonstrate that it provides accurate and unbiased estimates on BNS source location, with a…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Geophysics and Gravity Measurements · Seismic Imaging and Inversion Techniques
