Evaluating machine learning models for supernova gravitational wave signal classification

Evaluating machine learning models for supernova gravitational wave signal classification

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 GW signals from simulations with various EOSs, we train machine learning models to classify them and evaluate their perfo...

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Bibliographic Details
Main Authors: Y Sultan Abylkairov, Matthew C Edwards, Daniil Orel, Ayan Mitra, Bekdaulet Shukirgaliyev, Ernazar Abdikamalov
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Machine Learning: Science and Technology
Subjects:
gravitational waves
machine learning
deep learning
data analysis
supernovae
Online Access:https://doi.org/10.1088/2632-2153/ada33a
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https://doi.org/10.1088/2632-2153/ada33a

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