Investigates sound velocity peaks in neutron stars using Bayesian analysis and nuclear matter properties, suggesting implications for understanding phase transitions.
We establish a Bayesian analysis framework with a general Walecka-type relativistic mean-field model to study dense nuclear matter under constraints from nuclear matter properties and neutron star observations. With the experimental and observational data well described, we find that pure hadronic descriptions can generate a peak structure in the sound velocity by \(ω \), \(ρ \), \(σ \), and \(a_0\) meson mixing, which is crucial for describing both medium and massive neutron stars. As the peak structure is frequently interpreted as a signature of phase transitions, our findings provide a new perspective on the microscopic origin of the sound-velocity peak just with pure hadronic matter. Abstract Published by the Jagiellonian University 2026 authors
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