402 citations · 674 across the 25 of their papers we have counts for
6 papers · 1 filter
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…
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…
Beyond general relativity: designing a template-based search for exotic gravitational wave signals
Harsh Narola, Soumen Roy, Anand S. Sengupta
Accurate waveform models describing the complete evolution of compact binaries are crucial for the maximum likelihood detection framework, testing the predictions of General Relati…
Convolutional neural network for gravitational-wave early alert: Going down in frequency
Grégory Baltus, Justin Janquart, Melissa Lopez +2
We present here the latest development of a machine-learning pipeline for pre-merger alerts from gravitational waves coming from binary neutron stars. This work starts from the con…
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…
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…