Sensitivity study of \emph{r}-process abundances to nuclear masses

Abstract

The impact of nuclear mass uncertainties on the \emph{r}-process abundances has been systematically studied with the classical \emph{r}-process model by varying the mass of every individual nucleus in the range of $\pm 0.1$ to $\pm 3.0\mathrm{MeV}$ based on six different mass models. A new quantitative relation between the uncertainties of \emph{r}-process abundances and those of the nuclear masses is extracted, i.e., a mass uncertainty of $\pm 0.5\mathrm{MeV}$ would lead to an abundance uncertainty of a factor around 2.5. It is found that this conclusion holds true for various mass models.

13 pages, 4 figures

References in corpus (10)

• The r-process of stellar nucleosynthesis: Astrophysics and nuclear physics achievements and mysteries
• New parametrization for the nuclear covariant energy density functional with point-coupling interaction
• Surface diffuseness correction in global mass formula
• Neutron Star Mergers and Nucleosynthesis of Heavy Elements
• Nuclear mass predictions based on Bayesian neural network approach with pairing and shell effects
• Current Status of r-Process Nucleosynthesis
• SkyNet: A modular nuclear reaction network library
• Dynamical r-process studies within the neutrino-driven wind scenario and its sensitivity to the nuclear physics input
• Global study of beyond-mean-field correlation energies in covariant energy density functional theory using a collective Hamiltonian method
• Reexamining the temperature and neutron density conditions for r-process nucleosynthesis with augmented nuclear mass models

Cited by in corpus (1)

• Multi-task learning on nuclear masses and separation energies with the kernel ridge regression