2017
DOI: 10.3847/1538-4357/aa76de
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Implications for Post-processing Nucleosynthesis of Core-collapse Supernova Models with Lagrangian Particles

Abstract: We investigate core-collapse supernova (CCSN) nucleosynthesis with self-consistent, axisymmetric (2D) simulations performed using the neutrino hydrodynamics code CHIMERA. Computational costs have traditionally constrained the evolution of the nuclear composition within multidimensional CCSN models to, at best, a 14-species α-network capable of tracking only (α, γ) reactions from 4 He to 60 Zn. Such a simplified network limits the ability to accurately evolve detailed composition and neutronization or calculate… Show more

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Cited by 66 publications
(83 citation statements)
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References 91 publications
(115 reference statements)
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“…Eichler et al (2017)); and convective blobs from deeper inside can convect neutron-rich layers outwards, leading to weakly neutron-rich conditions (see e.g. Harris et al (2017)). With our PUSH approach, we obtain a similar range of Y e values as found in full multi-dimensional simulations.…”
Section: Summary and Discussionmentioning
confidence: 99%
“…Eichler et al (2017)); and convective blobs from deeper inside can convect neutron-rich layers outwards, leading to weakly neutron-rich conditions (see e.g. Harris et al (2017)). With our PUSH approach, we obtain a similar range of Y e values as found in full multi-dimensional simulations.…”
Section: Summary and Discussionmentioning
confidence: 99%
“…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%
“…This procedure greatly reduces the number of required trajectories to adequately sample the ejecta: Selecting the final locations of the tracer particles only within the region of interest reduces the total mass of ejecta that must be covered (less than 0.03M ) and makes it easy to use higher mass resolution where it is most needed, i.e., in the neutrino-processed ejecta. For a more general overview of the problems in extracting tracer trajectories from multi-D simulations, we refer the reader to Harris et al (2017).…”
Section: Explosion Dynamicsmentioning
confidence: 99%