From the 1 of 10 linked papers with an AI index.
10 papers
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…
A story about a tipsy kangaroo: Reversible jump MCMC for model selection in the analysis of gravitational-wave signals from the coalescence of compact objects
Anna Puecher, Tim Dietrich, Hauke Koehn +4
Bayesian inference is commonly employed in the analysis of gravitational-wave signals not only to estimate the source parameters, but also for model selection. The latter provides…
Impact of the Einstein Telescope's duty cycle on the estimation of binary black holes parameters
Luca Negri, Thomas C. K. Ng, Thibeau Wouters +13
The geometry of the Einstein Telescope, the proposed next-generation European gravitational-wave observatory, is yet to be finalized. Two competing designs are under consideration:…
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…
Overlapping signals in next-generation gravitational wave observatories: A recipe for selecting the best parameter estimation technique
Tomasz Baka, Harsh Narola, Justin Janquart +3
Third-generation gravitational wave detectors such as Einstein Telescope and Cosmic Explorer will have significantly better sensitivities than current detectors, as well as a wider…
Neural likelihood estimators for flexible gravitational wave data analysis
Luca Negri, Anuradha Samajdar
In this paper, we develop a Neural Likelihood Estimator and apply it to analyse real gravitational-wave (GW) data for the first time. We assess the usability of neural likelihood f…