Low-latency gravitational wave alert products and their performance at the time of the fourth LIGO-Virgo-KAGRA observing run
Sushant Sharma Chaudhary, Andrew Toivonen, Gaurav Waratkar, Geoffrey, Mo, Deep Chatterjee, Sarah Antier, Patrick Brockill, Michael W. Coughlin,, Reed Essick, Shaon Ghosh, Soichiro Morisaki, Pratyusava Baral, Amanda Baylor,, Naresh Adhikari, Patrick Brady, Gareth Cabourn Davies

TL;DR
This paper evaluates the low-latency gravitational wave alert system during LIGO-Virgo-KAGRA's O4 run, demonstrating its performance, latency, and data accuracy using simulated and real-time data to support multi-messenger astronomy.
Contribution
It provides the first detailed performance assessment of early warning triggers and low-latency alert infrastructure during O4, including median latency measurements and data product validation.
Findings
Median latency for full searches is 29.5 seconds.
Early warning triggers have a median latency of -3.1 seconds.
Data products show high consistency and accuracy during O4.
Abstract
Multi-messenger searches for BNS and NSBH mergers are currently one of the most exciting areas of astronomy. The search for joint electromagnetic and neutrino counterparts to GWs has resumed with O4. To support this effort, public semi-automated data products are sent in near real-time and include localization and source properties to guide complementary observations. In preparation for O4, we have conducted a study using a simulated population of compact binaries and a MDC in the form of a real-time replay to optimize and profile the software infrastructure and scientific deliverables. End-to-end performance was tested, including data ingestion, running online search pipelines, performing annotations, and issuing alerts to the astrophysics community. We present an overview of the low-latency infrastructure and the performance of the data products that are now being released during O4…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Gamma-ray bursts and supernovae · Time Series Analysis and Forecasting
