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20012026
most citedAdvanced Virgo: a 2nd generation interferometric gravitational wave detector

4.2k citations · 43.7k across the 141 of their papers we have counts for

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140 papers

gr-qc2026

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…

gr-qc2026

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…

astro-ph.IM2026

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…

gr-qc2026

Deep Learning Search for Gravitational Waves from Compact Binary Coalescence

Lorenzo Mobilia, Tito Dal Canton, Gianluca Maria Guidi

Gravitational-wave searches rely on a combination of methods, including matched filtering, coherent analyses, and more recent machine-learning-based pipelines. For compact binary c…

gr-qc2026

Enhancing online estimation of CBC parameters with the low-latency MBTA analysis

Florian Aubin, Inès Bentara, Damir Buskulic +9

In this paper, we describe the procedure implemented in the Multi-Band Template Analysis (MBTA) search pipeline to produce online posterior distributions of compact binary coalesce…

gr-qc2026

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.…