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Architecture Acceleration of Machine Learning Gravitational Waveform Surrogate Models
Adriano Frattale Mascioli, Lorenzo Piccari, Saulo Albuquerque +9
Accurate and computationally efficient waveform models of compact binary coalescences are a fundamental requirement for gravitational wave data analysis. This work presents differe…
Advanced Virgo during the LIGO-Virgo-KAGRA fourth observing run
Virgo Collaboration, F Acernese, A Agapito +546
From April 10, 2024 to November 18, 2025 Advanced Virgo participated in the fourth observing run of the network of gravitational-wave detectors, together with Advanced LIGO and KAG…
The Sequential Monte Carlo goes NUTS: Boosting Gravitational-Wave Inference
Gabriele Demasi, Giulia Capurri, Massimo Lenti +9
Sequential Monte Carlo (SMC) methods have recently been applied to gravitational-wave inference as a powerful alternative to standard sampling techniques, such as Nested Sampling.…
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…
Deep learning to detect gravitational waves from binary close encounters: Fast parameter estimation using normalizing flows
Federico De Santi, Massimiliano Razzano, Francesco Fidecaro +3
A yet undetected class of GW signals is represented by the close encounters between compact objects in highly-eccentric e~1 orbits, that can occur in binary systems formed in dense…
Improved detection statistics for non Gaussian gravitational wave stochastic backgrounds
Matteo Ballelli, Riccardo Buscicchio, Barbara Patricelli +2
In a recent paper we described a novel approach to the detection and parameter estimation of a non-Gaussian stochastic background of gravitational waves. In this work we propose an…
Virgo Detector Characterization and Data Quality: tools
F. Acernese, M. Agathos, A. Ain +491
Detector characterization and data quality studies -- collectively referred to as {\em DetChar} activities in this article -- are paramount to the scientific exploitation of the jo…
Virgo Detector Characterization and Data Quality: results from the O3 run
F. Acernese, M. Agathos, A. Ain +491
The Advanced Virgo detector has contributed with its data to the rapid growth of the number of detected gravitational-wave (GW) signals in the past few years, alongside the two Adv…
Detecting non-Gaussian gravitational wave backgrounds: a unified framework
Riccardo Buscicchio, Anirban Ain, Matteo Ballelli +2
We describe a novel approach to the detection and parameter estimation of a non\textendash Gaussian stochastic background of gravitational waves. The method is based on the determi…
Virgo Detector Characterization and Data Quality during the O3 run
F. Acernese, M. Agathos, A. Ain +491
The Advanced Virgo detector has contributed with its data to the rapid growth of the number of detected gravitational-wave signals in the past few years, alongside the two LIGO ins…
The Virgo O3 run and the impact of the environment
F. Acernese, M. Agathos, A. Ain +486
Sources of geophysical noise (such as wind, sea waves and earthquakes) or of anthropogenic noise impact ground-based gravitational-wave interferometric detectors, causing transient…
All-sky search for short gravitational-wave bursts in the second Advanced LIGO and Advanced Virgo run
The LIGO Scientific Collaboration, the Virgo Collaboration, B. P. Abbott +1186
We present the results of a search for short-duration gravitational-wave transients in the data from the second observing run of Advanced LIGO and Advanced Virgo. We search for gra…
Calibration of Advanced Virgo and Reconstruction of the Gravitational Wave Signal h(t) during the Observing Run O2
Virgo Collaboration, F. Acernese, T. Adams +281
In August 2017, Advanced Virgo joined Advanced LIGO for the end of the O2 run, leading to the first gravitational waves detections with the three-detector network. This paper descr…