activity
20012026
most citedLIGO: The Laser Interferometer Gravitational-Wave Observatory

1.2k citations · 6.9k across the 53 of their papers we have counts for

collaborators

53 papers

astro-ph.IM2026

LIGO A: Detector Design and Science Prospects Beyond A+

L. Sun, K. Kuns, B. J. J. Slagmolen +1153

We present the LIGO A detector concept, an upgrade for the LIGO observatories based on room-temperature interferometers beyond the fifth observing run (O5). Building on th…

astro-ph.HE2026

Search for gravitational waves associated with high-energy neutrinos detected by IceCube during the third observing run of LIGO-Virgo

Matthias Vereecken, Matteo Pracchia, Kara Merfeld +3

We search for generic gravitational-wave transients associated with high-energy neutrinos detected by the IceCube Neutrino Observatory during the third Observing Run (O3) of Advanc…

gr-qc2025

Evolution of human cognition required Einstein's gravitational waves

Bernard F. Schutz, Tsvi Piran, Patrick J. Sutton

We describe an unexpected anthropic fine-tuning of gravity: human cognition arose on Earth only because the laws of gravity included gravitational waves. Their link is the heat fro…

astro-ph.IM2024

GWSkyNet II : a refined machine learning pipeline for real-time classification of public gravitational wave alerts

Man Leong Chan, Jess McIver, Ashish Mahabal +12

Electromagnetic follow-up observations of gravitational wave events offer critical insights and provide significant scientific gain from this new class of astrophysical transients.…

gr-qc2020★ 71 cited

All-sky search in early O3 LIGO data for continuous gravitational-wave signals from unknown neutron stars in binary systems

The LIGO Scientific Collaboration, the Virgo Collaboration, R. Abbott +1369

Rapidly spinning neutron stars are promising sources of persistent, continuous gravitational waves. Detecting such a signal would allow probing of the physical properties of matter…

astro-ph.IM2020★ 18 cited

Real-Time Detection of Unmodelled Gravitational-Wave Transients Using Convolutional Neural Networks

Vasileios Skliris, Michael R. K. Norman, Patrick J. Sutton

Convolutional Neural Networks (CNNs) have demonstrated potential for the real-time analysis of data from gravitational-wave detector networks for the specific case of signals from…