6 papers
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…
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…
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.…
Accounting for Tidal Deformability in Binary Neutron Star Template Banks
Lorenzo Piccari, Francesco Pannarale
Modelled searches for gravitational waves emitted by compact binary coalescences currently filter the data with template signals that ignore all effects related to the physics of d…
Compact Binary Coalescence Sensitivity Estimates with Injection Campaigns during the LIGO-Virgo-KAGRA Collaborations' Fourth Observing Run
Reed Essick, Michael W. Coughlin, Michael Zevin +21
We describe the effort to characterize gravitational-wave searches and detector sensitivity to different types of compact binary coalescences during the LIGO-Virgo-KAGRA Collaborat…