11 citations · 17 across the 3 of their papers we have counts for
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astro-ph.HE2026
The Generalization Gap in Machine Learning EoS Inference from Core-Collapse Supernova Gravitational Waves
Ayan Mitra
Core-collapse supernova gravitational waves may carry information about the dense matter equation of state (EoS), which describes the relation between pressure, density, temperatur…
astro-ph.HE2024★ 6 cited
Evaluating Machine Learning Models for Supernova Gravitational Wave Signal Classification
Y. Sultan Abylkairov, Matthew C. Edwards, Daniil Orel +3
We investigate the potential of using gravitational wave (GW) signals from rotating core-collapse supernovae to probe the equation of state (EOS) of nuclear matter. By generating G…
astro-ph.HE2023★ 11 cited
Probing nuclear physics with supernova gravitational waves and machine learning
Ayan Mitra, Daniil Orel, Y. Sultan Abylkairov +2
Core-collapse supernovae are sources of powerful gravitational waves (GWs). We assess the possibility of extracting information about the equation of state (EOS) of high density ma…