3 papers
astro-ph.HE2026
Data-Driven Generation of Neutron Star Equations of State Using Variational Autoencoders
Alex Ross, Tianqi Zhao, Sanjay Reddy
We develop a machine learning model based on a structured variational autoencoder (VAE) framework to reconstruct and generate neutron star (NS) equations of state (EOS). The VAE co…
astro-ph.HE2026
A New Bayesian Framework with Natural Priors to Constrain the Neutron Star Equation of State
Boyang Sun, Tianqi Zhao, James M. Lattimer
We propose a new Bayesian framework to infer the neutron star equation of state (EOS) from mass and radius observations and neutron matter theory by defining priors that directly p…
astro-ph.HE2025
Suppression of composition -modes in chemically-equilibrating warm neutron stars
Tianqi Zhao, Peter B. Rau, Alexander Haber +3
We investigate the impact of chemical equilibration and the resulting bulk viscosity on non-radial oscillation modes of warm neutron stars at temperatures up to MeV, r…