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20202025
most citedVirgo Detector Characterization and Data Quality: results from the O3 run

60 citations · 150 across the 8 of their papers we have counts for

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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…

gr-qc2020★ 27 cited

Searches for Compact Binary Coalescence Events using Neural Networks in LIGO/Virgo Second Observation Period

A. Menéndez-Vázquez, M. Kolstein, M. Martínez +1

We present results on the search for the coalescence of compact binary mergers using convolutional neural networks and the LIGO/Virgo data, corresponding to the O2 observation peri…