activity
19942026
most citedBlack holes, gravitational waves and fundamental physics: a roadmap

742 citations · 10.2k across the 143 of their papers we have counts for

collaborators

144 papers

gr-qc2026

Rotating Neutron Star Migrations as a Standardized Test for 3+1 Numerical Relativity

Óscar H. Petit, José A. Font, Nikolaos Stergioulas

When simulating dynamically unstable neutron stars, truncation errors can introduce perturbations that drive the stellar configuration either toward gravitational collapse into a b…

physics.data-an2026

Learned proposals in trans-dimensional inference are optimal at equilibrium, not during assembly

Argyro Sasli, Nikolaos Karnesis, Minas Karamanis +5

Inferring the dimension of a model - the number of components needed to explain data - jointly with the parameters is a pervasive problem, from counting sources in an image to mixt…

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…

gr-qc2026

Inferring Neutron-Star Properties from Post-merger Gravitational-wave Spectra with Neural Networks

Dimitrios Pesios, Nikolaos Stergioulas

We present a proof-of-concept study of the inverse problem of inferring neutron-star properties directly from the post-merger gravitational-wave spectrum of equal-mass binary neutr…

astro-ph.HE2026

Low- instabilities in differentially rotating neutron stars resembling merger remnants

Georgios Lioutas, Panagiotis Iosif, Andreas Bauswein +1

We construct constant rest-mass sequences of equilibrium models of differentially rotating neutron stars which resemble binary neutron star post-merger remnants. For a more realist…

gr-qc2026

Beyond Gaussian Assumptions: A new robust statistical framework for gravitational-wave data analysis

Argyro Sasli, Minas Karamanis, Nikolaos Karnesis +4

Many traditional algorithms applied in gravitational-wave astronomy rely on the assumption of Gaussian noise, a condition not always met. To meet this need, this study extends a ro…