bayesian model combination 1drip lines 1energy density functionals 1heteroscedastic uncertainty 1nuclear mass extrapolation 1
From the 1 of 2 linked papers with an AI index.
2 papers
nucl-th2026
Beyond Constant Error: Heteroscedastic Bayesian Model Combination for Modeling Unmeasured Nuclei
B. Knight, S. Lalit, P. Giuliani +4
The paper introduces a heteroscedastic Bayesian Model Combination framework to improve uncertainty quantification when combining nuclear energy density functional models, especiall…
nucl-ex2026
The mass of Sn and Bayesian extrapolations to the proton drip line
Christian M. Ireland, Georg Bollen, Scott E. Campbell +23
The favorable energy configurations of nuclei at magic numbers of neutrons and protons are fundamental for understanding the evolution of nuclear structure. The ${Z=50}…