collaborators

12 papers

nucl-th2026

A Gaussian Process framework for constraining the nuclear equation of state from microscopic calculations with correlated uncertainties

Y. G. Lee, J. Kim, T. Zhao +1

We present constraints on the nuclear equation of state (EOS) from microscopic asymmetric matter calculations at zero temperature based on chiral nucleon-nucleon and three-nucleon…

nucl-th2026

PMM-IMSRG emulator for the nuclear equation of state with quantified uncertainties

Patrick Cook, Kang Yu, Christian Drischler +1

We introduce a hybrid emulator for in-medium similarity renormalization group (IMSRG) calculations of nuclear matter, based on chiral nucleon-nucleon and three-nucleon interactions…

astro-ph.HE2026

Measuring radii of merging neutron stars with interface-mode asteroseismology informed by nuclear theory and experiment

Duncan Neill, William G. Newton, Jeremy W. Holt +4

The structure and dynamics of neutron stars can be used to probe the physics of extreme matter at nuclear densities and beyond. Nucleonic matter up to ~2-3 times nuclear saturation…

nucl-th2026

Microscopic constraints for the equation of state and structure of neutron stars: a Bayesian model mixing framework

A. C. Semposki, C. Drischler, R. J. Furnstahl +1

Bayesian model mixing (BMM) is a statistical technique that can combine constraints from different regions of an input space in a principled way. Here we extend our BMM framework f…

nucl-th2026

Active learning emulators for nuclear two-body scattering in momentum space

A. Giri, J. Kim, C. Drischler +2

We extend the active learning emulators for two-body scattering in coordinate space with error estimation, recently developed by Maldonado et al. [Phys. Rev. C 112, 024002], to cou…

nucl-th2026

The nucleardatapy toolkit for simple access to experimental nuclear data, astrophysical observations, and theoretical predictions

Jérôme Margueron, Christian Drischler, Mariana Dutra +10

Systematic comparisons across theoretical predictions for the properties of dense matter, nuclear physics data, and astrophysical observations (also called meta-analyses) are perfo…