Simulating neutron stars with a flexible enthalpy-based equation of state parametrization in s p ectre

Isaac Legred, Yoonsoo Kim, Nils Deppe, Katerina Chatziioannou, Francois Foucart, François Hébert, Lawrence E. Kidder

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Numerical simulations of neutron star mergers represent an essential step toward interpreting the full complexity of multimessenger observations and constraining the properties of supranuclear matter. Currently, simulations are limited by an array of factors, including computational performance and input physics uncertainties, such as the neutron star equation of state. In this work, we expand the range of nuclear phenomenology efficiently available to simulations by introducing a new analytic parametrization of cold, beta-equilibrated matter that is based on the relativistic enthalpy. We show that the new enthalpy parametrization can capture a range of nuclear behavior, including strong phase transitions. We implement the enthalpy parametrization in the spectre code, simulate isolated neutron stars, and compare performance to the commonly used spectral and polytropic parametrizations. We find comparable computational performance for nuclear models that are well represented by either parametrization, such as simple hadronic equations of state. We show that the enthalpy parametrization further allows us to simulate more complicated hadronic models or models with phase transitions that are inaccessible to current parametrizations.

Original languageEnglish
Article number123017
JournalPhysical Review D
Volume107
Issue number12
DOIs
StatePublished - Jun 15 2023

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