From the 1 of 9 linked papers with an AI index.
9 papers
Neural-Accelerated Bayesian Calibration of Chiral Mean-Field Models to Nuclear Saturation and Vacuum Properties
Isaac Legred, Mateus Reinke Pelicer, Veronica Dexheimer +2
The paper presents a neural‑accelerated Bayesian framework that uses a surrogate neural network to efficiently calibrate chiral mean‑field nuclear interaction models against nuclea…
Studying the QCD Matter produced in Heavy-Ion Collisions using the MUSES Calculation Engine
Johannes Jahan, Kevin P. Pala, Yumu Yang +42
The equation of state of hot and dense matter is essential for describing heavy-ion collisions at all collision energies. Here, we explore the capabilities of the latest version of…
Low-mass failed supernovae and the peak in the merging black hole mass distribution
Isaac Legred, Jacob Golomb, Katerina Chatziioannou
Gravitational-wave observations reveal that the rate of merging black holes drops by orders of magnitude from component masses to .…
Why Stellar Sequences Turn Over: Fixed Points, Instability, and Equation-of-State Universality
Isaac Legred, Nicolas Yunes
We reformulate the stellar structure equations in the language of dynamical systems and show that the maximum mass of stellar sequences arises from the existence of a fixed point i…
Unified nonparametric equation-of-state inference from the neutron-star crust to perturbative-QCD densities
Eliot Finch, Isaac Legred, Katerina Chatziioannou +3
Perturbative quantum chromodynamics (pQCD), while valid only at densities exceeding those found in the cores of neutron stars, could provide constraints on the dense-matter equatio…
Nonparametric extensions of nuclear equations of state: probing the breakdown scale of relativistic mean-field theory
Isaac Legred, Liam Brodie, Alexander Haber +2
Phenomenological calculations of the properties of dense matter, such as relativistic mean-field theories, represent a pathway to predicting the microscopic and macroscopic propert…