2 papers
nucl-th2026
New approach for the quantification of uncertainties in reaction modeling via data-driven multi-objective optimization
N. Dimitrakopoulos, G. Perdikakis, F. Montes +5
We introduce a new multi-objective optimization approach to determine uncertainty-quantified nuclear reaction parameters in the Hauser-Feshbach framework. By simultaneously account…
physics.ins-det2024
Machine-Learning-Enabled Measurements of Astrophysical (p,n) Reactions with the SECAR Recoil Separator
P. Tsintari, N. Dimitrakopoulos, R. Garg +29
The synthesis of heavy elements in supernovae is affected by low-energy (n,p) and (p,n) reactions on unstable nuclei, yet experimental data on such reaction rates are scarce. The S…