1.8k citations · 5.8k across the 15 of their papers we have counts for
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gr-qc2021★ 16 cited
Using supervised learning algorithms as a follow-up method in the search of gravitational waves from core-collapse supernovae
Javier M. Antelis, Marco Cavaglia, Travis Hansen +5
We present a follow-up method based on supervised machine learning (ML) to improve the performance in the search of gravitational wave (GW) burts from core-collapse supernovae (CCS…
astro-ph.HE2021★ 6 cited
Detecting and reconstructing gravitational waves from the next Galactic core-collapse supernova in the Advanced Detector Era
Marek Szczepanczyk, Javier Antelis, Michael Benjamin +17
We performed a detailed analysis of the detectability of a wide range of gravitational waves derived from core-collapse supernova simulations using gravitational-wave detector nois…