From the 1 of 9 linked papers with an AI index.
9 papers
Can machine learning improve the detectability and disentanglement of the gravitational-wave background?
Hugo Einsle, Marie Anne Bizouard, Tania Regimbau +2
Gravitational waves from compact binary coalescences and from early Universe processes are expected to form a gravitational-wave background. We employ a custom deep learning multi-…
Advanced Virgo during the LIGO-Virgo-KAGRA fourth observing run
Virgo Collaboration, F Acernese, A Agapito +546
The paper reports on Advanced Virgo's participation in the fourth observing run (O4) of the global gravitational‑wave detector network, describing the commissioning of its new sign…
Advanced Virgo Plus for O5 -- Design Report Overview
F. Acernese, A. Agapito, D. Agarwal +578
This document presents an overview of the design, implementation, and expected performance of the Advanced Virgo Plus (AdV+) upgrades in view of the O5 observing run. Following the…
Uncertainty in predicting the stochastic gravitational wave background from compact binary coalescences
Michael Ebersold, Tania Regimbau
The stochastic gravitational wave background from compact binary coalescences is expected to be the first detectable stochastic signal via cross-correlation searches with terrestri…
The Science of the Einstein Telescope
Adrian Abac, Raul Abramo, Simone Albanesi +485
Einstein Telescope (ET) is the European project for a gravitational-wave (GW) observatory of third-generation. In this paper we present a comprehensive discussion of its science ob…
Gravitational-wave background detection using machine learning
Hugo Einsle, Marie-Anne Bizouard, Tania Regimbau +1
Extracting the faint gravitational-wave background (GWB) signal from dominant detector noise and disentangling its %diverse astrophysical and cosmological components remain signifi…