Description
Nuclear EoS and Astrophysics
The formation of nuclear clusters constitutes an essential feature for the construction of global equation-of-state (EoS) tables. They emerge as many-body correlations, which can be
attributed to the nucleon-nucleon (NN) interaction, and exist at sub-saturation densities in nuclear matter. Phenomenological models that make use of energy density functionals (EDFs) offer a convenient approach...
Interpreting high-energy, astrophysical phenomena, such as supernova explosions or neutron-star collisions, requires a robust understanding of matter at supranuclear densities. However, our knowledge about dense matter explored in the cores of neutron stars remains limited. Fortunately, dense matter is not only probed in astrophysical observations, but also in terrestrial heavy-ion collision...
In this review, we seek to synthesize the current literature in terms of works that harness machine learning for the understanding of the nuclear EoS in astrophysics. Furthermore, we propose future areas of work at this exciting interdisciplinary nexus. Model types and approaches include regression, clustering, decision trees, ensemble models, and neural networks (computer vision). There are,...
I will argue that if black holes represent one the most fascinating implications of Einstein's theory of gravity, neutron stars in binary system are arguably its richest laboratory, where gravity blends with astrophysics and particle physics. I will discuss the rapid recent progress made in modelling these systems and show how the gravitational signal can provide tight constraints on the...
The exceptional progress of multi-messenger astronomy on different astrophysical sources of dense matter has very recently led to quantitative measurements of various properties of neutron stars, such as the correlation between mass and radius from X-ray timing with NICER and the tidal polarizability from gravitational wave LIGO/Virgo data. These observations, together with the plethora of...
Nuclear pasta, which is an inhomogeneous distribution of nuclear matter characterized by non-spherical clustered structures, is expected to occur in a narrow spatial region at the bottom of the inner crust of neutron stars, but the width of the pasta layer is strongly model dependent. In the framework of a compressible liquid-drop model, we use Bayesian inference to analyze the constraints on...
