• DOI:10.3847/2041-8213/ac7054
• Corpus ID: 241035525

A New Constraint on the Nuclear Equation of State from Statistical Distributions of Compact Remnants of Supernovae

@article{Meskhi2021ANC,
  title={A New Constraint on the Nuclear Equation of State from Statistical Distributions of Compact Remnants of Supernovae},
  author={Mikhail M. Meskhi and Noah Wolfe and Zhenyu Dai and Carla Frohlich and Jonah Maxwell Miller and Raymond K. W. Wong and Ricardo Vilalta},
  journal={The Astrophysical Journal Letters},
  year={2021},
  volume={932}
}

• Mikhail M. Meskhi, Noah Wolfe, +4 authors R. Vilalta
• Published 2 November 2021
• Physics
• The Astrophysical Journal Letters

Understanding how matter behaves at the highest densities and temperatures is a major open problem in both nuclear physics and relativistic astrophysics. Our understanding of such behavior is often encapsulated in the so-called high-temperature nuclear equation of state (EOS), which influences compact binary mergers, core-collapse supernovae, and other phenomena. Our focus is on the type (either black hole or neutron star) and mass of the remnant of the core collapse of a massive star. For each six candidates of equations of state, we use a very large suite of spherically symmetric supernova models to generate a sample of synthetic populations of such remnants. We then compare these synthetic populations to the observed remnant population. Our study provides a novel constraint on the high-temperature nuclear EOS and describes which EOS candidates are more or less favored by an information-theoretic metric.