3 papers
astro-ph.HE2025
Classification of the equation of state of neutron stars via sparse dictionary learning
Miquel Llorens-Monteagudo, Alejandro Torres-Forné, José A. Font
The post-merger phase of binary neutron star (BNS) mergers encodes valuable information about the equation of state (EOS) of supranuclear matter. Extracting this information from t…
astro-ph.IM2025
CLAWDIA: A dictionary learning framework for gravitational-wave data analysis
Miquel Llorens-Monteagudo, Alejandro Torres-Forné, José A. Font
Deep-learning methods are becoming increasingly important in gravitational-wave data analysis, yet their performance often relies on large training datasets and models whose intern…
astro-ph.HE2025
Assessing the Distance for Probing the Nuclear Equation of State with Supernova Gravitational Waves
Y. Sultan Abylkairov, Matthew C. Edwards, Artyom Ostrikov +6
Gravitational waves from core-collapse supernovae provide a unique probe of the equation of state (EOS) of high density matter. In this work, we focus on the bounce signal from num…