Speaker
Description
Meta-modeling frameworks have emerged as tools for exploring the nuclear equation of state (EoS) in a flexible way. However, current implementations often violate causality at supranuclear densities, resulting in a significant fraction of otherwise viable models being discarded for failing to support the observed maximum neutron star mass with a subluminal sound speed. I will present a refined meta-model that enforces causality by construction for a large fraction of the parameter choices, ensuring a subluminal speed of sound across all densities while maintaining flexibility and consistency with low-density nuclear physics. The robustness of the model is demonstrated by accurately reconstructing known EoSs from the COMPOSE database and by evaluating NS oscillation mode frequencies with possible deviations from beta equilibrium. With analytical expressions for thermodynamic quantities, the model may also benefit for hydrodynamic simulations, avoiding reliance on tabulated EoS with composition.
