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Generating Higher Order Modes from Binary Black Hole mergers with Machine Learning
Tim Grimbergen, Stefano Schmidt, Chinmay Kalaghatgi +1
We introduce a machine learning model designed to rapidly and accurately predict the time domain gravitational wave emission of non-precessing binary black hole coalescences, incor…
A catalogue of precessing black-hole-binary numerical-relativity simulations
Eleanor Hamilton, Edward Fauchon-Jones, Mark Hannam +9
We present a public catalogue of numerical-relativity binary-black-hole simulations. The catalogue contains datasets from 80 distinct configurations of precessing binary-black-hole…
Science with the Einstein Telescope: a comparison of different designs
Marica Branchesi, Michele Maggiore, David Alonso +73
The Einstein Telescope (ET), the European project for a third-generation gravitational-wave detector, has a reference configuration based on a triangular shape consisting of three…
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…
Unraveling information about supranuclear-dense matter from the complete binary neutron star coalescence process using future gravitational-wave detector networks
Anna Puecher, Tim Dietrich, Ka Wa Tsang +4
Gravitational waves provide us with an extraordinary tool to study the matter inside neutron stars. In particular, the postmerger signal probes an extreme temperature and density r…