91 citations · 596 across the 24 of their papers we have counts for
3 papers · 1 filter
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…
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…
Exploring Supernova Gravitational Waves with Machine Learning
Ayan Mitra, Bekdaulet Shukirgaliyev, Y. Sultan Abylkairov +1
Core-collapse supernovae (CCSNe) emit powerful gravitational waves (GWs). Since GWs emitted by a source contain information about the source, observing GWs from CCSNe may allow us…