3 papers
astro-ph.HE2026
Correlated and uncorrelated Monte Carlo neutron capture rate variations in weak -process simulations
Atul Kedia, Jeffrey M. Berryman, Jonathan Cabrera Garcia +7
Reliable predictions of weak rapid neutron capture (-process) abundances require a systematic treatment of nuclear physics uncertainties, especially neutron capture rat…
nucl-th2025
Learning nuclear cross sections across the chart of nuclides with graph neural networks
Hongjun Choi, Sinjini Mitra, Jason Brodksy +6
In this work, we explore the use of deep learning techniques to learn how nuclear cross sections change as we add or remove protons and neutrons. As a proof of principle, we focus…
astro-ph.SR2025
Observational constraints on the origin of the elements. IX. 3D NLTE abundances of metals in the context of Galactic Chemical Evolution Models and 4MOST
Nicholas Storm, Maria Bergemann, Philipp Eitner +8
Historically, various methods have been employed to understand the origin of the elements, including observations of elemental abundances which have been compared to Galactic Chemi…