97 citations · 101 across the 3 of their papers we have counts for
3 papers
NNNN: Neural Networks for Newtonian Noise Mitigation at the Einstein Telescope
Jan Kelleter, Patrick Schillings, Jonathan Kuckert +4
The gravitational effects of seismic waves, so-called Newtonian noise, will likely limit the low-frequency sensitivity of future ground-based gravitational wave detectors, such as…
The Science of the Einstein Telescope
Adrian Abac, Raul Abramo, Simone Albanesi +485
Einstein Telescope (ET) is the European project for a gravitational-wave (GW) observatory of third-generation. In this paper we present a comprehensive discussion of its science ob…
Partition Pooling for Convolutional Graph Network Applications in Particle Physics
M. Bachlechner, T. Birkenfeld, P. Soldin +2
Convolutional graph networks are used in particle physics for effective event reconstructions and classifications. However, their performances can be limited by the considerable am…