A Pareto-front selection over mass and r-process abundance objectives picks machine-learning nuclear mass models with narrower abundance spreads and more physical neutron separation energy trends.
Precision Mass Measurements of 129-131Cd and Their Impact on Stellar Nucleosynthesis via the Rapid Neutron Capture Process
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abstract
Masses adjacent to the classical waiting-point nuclide 130Cd have been measured by using the Penning- trap spectrometer ISOLTRAP at ISOLDE/CERN. We find a significant deviation of over 400 keV from earlier values evaluated by using nuclear beta-decay data. The new measurements show the reduction of the N = 82 shell gap below the doubly magic 132Sn. The nucleosynthesis associated with the ejected wind from type-II supernovae as well as from compact object binary mergers is studied, by using state-of-the-art hydrodynamic simulations. We find a consistent and direct impact of the newly measured masses on the calculated abundances in the A = 128 - 132 region and a reduction of the uncertainties from the precision mass input data.
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Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization
A Pareto-front selection over mass and r-process abundance objectives picks machine-learning nuclear mass models with narrower abundance spreads and more physical neutron separation energy trends.