2016
DOI: 10.1103/physrevlett.116.121101
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Impact of Nuclear Mass Uncertainties on therProcess

Abstract: Nuclear masses play a fundamental role in understanding how the heaviest elements in the Universe are created in the r-process. We predict r-process nucleosynthesis yields using neutron capture and photodissociation rates that are based on nuclear density functional theory. Using six Skyrme energy density functionals based on different optimization protocols, we determine for the first time systematic uncertainty bands -related to mass modelling -for r-process abundances in realistic astrophysical scenarios. W… Show more

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Cited by 96 publications
(80 citation statements)
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“…WinNet was originally developed at the University of Basel by Winteler (2013) based on the earlier BasNet by Thielemann et al (2011). WinNet has been used by various authors for r-process nucleosynthesis calculations in core-collapse supernovae and neutron star mergers, and to investigate the impact of nuclear physics on the r-process (e.g., Korobkin et al 2012;Winteler et al 2012;Eichler et al 2015;Martin et al 2015Martin et al , 2016. XNet was developed at Oak Ridge National Laboratories by Hix & Thielemann (1999) and has been used for r-process nucleosynthesis in accretion disk outflows and neutron star mergers, and for explosive nucleosynthesis in type I X-ray bursts and core-collapse supernovae (e.g., Surman et al 2006;Fisker et al 2008;Roberts et al 2011;Harris et al 2017).…”
Section: Network Evolutionmentioning
confidence: 99%
“…WinNet was originally developed at the University of Basel by Winteler (2013) based on the earlier BasNet by Thielemann et al (2011). WinNet has been used by various authors for r-process nucleosynthesis calculations in core-collapse supernovae and neutron star mergers, and to investigate the impact of nuclear physics on the r-process (e.g., Korobkin et al 2012;Winteler et al 2012;Eichler et al 2015;Martin et al 2015Martin et al , 2016. XNet was developed at Oak Ridge National Laboratories by Hix & Thielemann (1999) and has been used for r-process nucleosynthesis in accretion disk outflows and neutron star mergers, and for explosive nucleosynthesis in type I X-ray bursts and core-collapse supernovae (e.g., Surman et al 2006;Fisker et al 2008;Roberts et al 2011;Harris et al 2017).…”
Section: Network Evolutionmentioning
confidence: 99%
“…In abandoning a purely statistical treatment, it is increasingly difficult to reliably predict decay half-lives of neutron-rich nuclei using models tailored to reproduce the structure of species close to stability. Needing to go beyond a statistical treatment also impacts calculations of astrophysical r-process abundances [3,10,14]. The r process [15] involves many neutron-rich nuclei that are difficult or impossible to study experimentally.…”
mentioning
confidence: 99%
“…This would be expected to capture the majority of the influence of nuclear masses on a hot r process that proceeds in (n, γ)-(γ, n) equilibrium; for the very neutron-rich merger trajectory considered here, neutron capture continues well past the point where the temperatures drop low enough for photodissociation to become negligible, and so we expect much of the influence of the masses will be through the capture rates and β-decay properties. The middle shaded region shows the additional influence of the neutron capture rate updates, similar to [6]. Here we calculate the neutron capture rates self-consistently with each mass table with version 3.3.3 of the Los Alamos Hauser-Feshbach code CoH [7].…”
Section: Dft Massesmentioning
confidence: 99%