activity
20222026
most citedGW231123: a Binary Black Hole Merger with Total Mass 190-265

121 citations · 336 across the 41 of their papers we have counts for

collaborators

41 papers

gr-qc2026

Updated Upper Limits on the Isotropic Gravitational-Wave Background from LIGO, Virgo, and KAGRA Data through April 2025

The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1805

We report results from a search for an isotropic stochastic gravitational-wave background using data collected by the LIGO--Virgo--KAGRA Collaboration. The analysis uses data from…

gr-qc2026

Constraints on ultralight bosons from merging binary and remnant black holes observed during the second and third parts of the fourth LIGO-Virgo-KAGRA observing run

The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1808

We present constraints on ultralight bosons using binary black hole mergers observed in the second and third parts of the fourth LIGO-Virgo-KAGRA observing run. Directed searches a…

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

From the Early Slope to Curvature: Future Prospects and challenges for Astrophysical Parameter Estimation Using the Core-Collapse Supernova High-Frequency Feature

Alejandro Casallas-Lagos, Marek Szczepańczyk, Michele Zanolin +1

Gravitational-wave (GW) signals from core-collapse supernovae (CCSNe) contain both stochastic and deterministic components. Among these, the High-Frequency Feature (HFF), associate…

gr-qc2026

Classifying the nuclear equation of state in LVK interferometric noise through core-collapse supernova gravitational-wave signatures using convolutional neural networks

Alejandro Casallas-Lagos, Marek J. Szczepańczyk, Michele Zanolin +4

This paper presents a convolutional neural network (CNN) approach to classifying the nuclear equation of state (EOS). As illustrative examples, we use five two-dimensional core-col…

gr-qc2026

GWTC-5.0: Tests of General Relativity

The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1822

The signals from the LIGO-Virgo-KAGRA network of gravitational-wave (GW) detectors allow us to perform sensitive tests of general relativity (GR) in the dynamical and strong-field…