The reviewed record of science sign in
Pith

arxiv: 2308.04545 · v4 · pith:WUKT2EXC · submitted 2023-08-08 · astro-ph.HE

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
show 45 more authors
Reed Essick Shaon Ghosh Soichiro Morisaki Pratyusava Baral Amanda Baylor Naresh Adhikari Patrick Brady Gareth Cabourn Davies Tito Dal Canton Marco Cavagli\`a Jolien Creighton Sunil Choudhary Yu-Kuang Chu Patrick Clearwater Luke Davis Thomas Dent Marco Drago Becca Ewing Patrick Godwin Weichangfeng Guo Chad Hanna Rachel Huxford Ian Harry Erik Katsavounidis Manoj Kovalam Alvin K.Y. Li Ryan Magee Ethan Marx Duncan Meacher Cody Messick Xan Morice-Atkinson Alexander Pace Roberto De Pietri Brandon Piotrzkowski Soumen Roy Surabhi Sachdev Leo P. Singer Divya Singh Marek Szczepanczyk Daniel Tang Max Trevor Leo Tsukada Ver\'onica Villa-Ortega Linqing Wen Daniel Wysocki
This is my paper

Reviewed by Pith T0 review T1 audit T2 compute T3 formal T4 kernel pith:WUKT2EXCrecord.jsonopen to challenge →

classification astro-ph.HE
keywords dataproductsperformancealertinfrastructurelow-latencysearchesduring
0
0 comments X
read the original 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 based on the MDC. We report the expected median latency for the preliminary alert of full bandwidth searches (29.5s) and show consistency and accuracy of released data products using the MDC. For the first time, we report the expected median latency for triggers from early warning searches (-3.1s), which are new in O4 and target neutron star mergers during inspiral phase. This paper provides a performance overview for LVK low-latency alert infrastructure and data products using the MDC and serves as a useful reference for the interpretation of O4 detections.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 6 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. AI-enabled gravitational-waves searches for binary neutron stars at optimal sensitivity

    astro-ph.HE 2026-07 unverdicted novelty 8.0

    Aframe neural network achieves matched-filter sensitivity for binary neutron star GW searches at lower computational cost using heterodyning and a single GPU.

  2. Improving low-latency multi-messenger follow-up of neutron star-black hole mergers with mode-by-mode filtering

    gr-qc 2026-06 unverdicted novelty 6.0

    Mode-by-mode filtering of higher-order modes enables low-latency marginalization over mode information in NSBH gravitational-wave signals, tightening constraints on distance, inclination, and secondary mass.

  3. Pre-localization of Massive Black Hole Binaries in the Millihertz Band

    gr-qc 2026-04 unverdicted novelty 5.0

    A neural spline flow pipeline performs amortized inference on millihertz MBHB signals, delivering ~20 deg² pre-merger sky localizations in ~1 minute while matching PTMCMC sky modes and parameter uncertainties.

  4. PyCBC Live Search for Compact Binary Mergers in Advanced LIGO and Virgo's Fourth Observing Run

    astro-ph.IM 2026-06 unverdicted novelty 4.0

    PyCBC Live for O4 adds time-dependent background modeling, early warning search, and improved autogating, delivering sensitivity gains of 1.7-2.3x for coincident searches in mock data challenges.

  5. Rapid data quality investigations of gravitational-wave events with the Data Quality Report Builder toolkit

    astro-ph.IM 2026-05 accept novelty 4.0

    DQRbuild toolkit automates data quality vetting for gravitational-wave events, recovering 96% of human-identified issues from O3 with a 24% false alarm rate.

  6. Investigating the effect of sensitivity of KAGRA on sky localization of gravitational-wave sources from compact binary coalescences

    gr-qc 2026-04 unverdicted novelty 4.0

    KAGRA enhances sky localization of binary neutron star mergers in the LVK network via added baselines, with measurable gains at current sensitivity and larger improvements as range reaches ~30 Mpc.