activity
20182026
most citedVirgo Detector Characterization and Data Quality: results from the O3 run

60 citations · 129 across the 10 of their papers we have counts for

collaborators

11 papers

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

Infrasound Newtonian Noise Estimation at the Einstein Telescope Candidate Site Sos Enattos

Wathela Alhassan, D. Rosinska, M. Suchenek +2

We investigate the seasonal variability of atmospheric infrasound and its contribution to Newtonian noise (NN) at the Sos Enattos site, a leading candidate location for the Einstei…

gr-qc2024

Adaptive algorithms for low-latency cancellation of seismic Newtonian-noise at the Virgo gravitational-wave detector

Soumen Koley, Jan Harms, Annalisa Allocca +23

A system was recently implemented in the Virgo detector to cancel noise in its data produced by seismic waves directly coupling with the suspended test masses through gravitational…

gr-qc2023

Design and implementation of a seismic Newtonian-noise cancellation system for the Virgo gravitational-wave detector

Soumen Koley, Jan Harms, Annalisa Allocca +23

Terrestrial gravity perturbations caused by seismic fields produce the so-called Newtonian noise in gravitational-wave detectors, which is predicted to limit their sensitivity in t…

astro-ph.IM2023

PyMerger: Detecting Binary Black Hole merger from Einstein Telescope Using Deep Learning

Wathela Alhassan, T. Bulik, M. Suchenek

We present PyMerger, a Python tool for detecting binary black hole (BBH) mergers from the Einstein Telescope (ET), based on a Deep Residual Neural Network model (ResNet). ResNet wa…

astro-ph.IM2022★ 11 cited

Detection of Einstein Telescope gravitational wave signals from binary black holes using deep learning

Wathela Alhassan, Tomasz Bulik, Mariusz Suchenek

The expected volume of data from the third-generation gravitational waves (GWs) Einstein Telescope (ET) detector would make traditional GWs search methods such as match filtering i…

gr-qc2022★ 18 cited

Virgo Detector Characterization and Data Quality: tools

F. Acernese, M. Agathos, A. Ain +491

Detector characterization and data quality studies -- collectively referred to as {\em DetChar} activities in this article -- are paramount to the scientific exploitation of the jo…

gr-qc2022★ 60 cited

Virgo Detector Characterization and Data Quality: results from the O3 run

F. Acernese, M. Agathos, A. Ain +491

The Advanced Virgo detector has contributed with its data to the rapid growth of the number of detected gravitational-wave (GW) signals in the past few years, alongside the two Adv…

gr-qc2022★ 7 cited

Virgo Detector Characterization and Data Quality during the O3 run

F. Acernese, M. Agathos, A. Ain +491

The Advanced Virgo detector has contributed with its data to the rapid growth of the number of detected gravitational-wave signals in the past few years, alongside the two LIGO ins…

gr-qc2022★ 22 cited

The Virgo O3 run and the impact of the environment

F. Acernese, M. Agathos, A. Ain +486

Sources of geophysical noise (such as wind, sea waves and earthquakes) or of anthropogenic noise impact ground-based gravitational-wave interferometric detectors, causing transient…

astro-ph.IM2018★ 11 cited

Long term measurements from the Mátra Gravitational and Geophysical Laboratory

P. Ván, G. G. Barnaföldi, T. Bulik +37

Summary of the long term data taking, related to one of the proposed next generation ground-based gravitational detector's location is presented here. Results of seismic and infras…