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Advancing Nucleosynthesis in Self-consistent, Multidimensional Models of Core-Collapse Supernovae
2015
Proceedings of XIII Nuclei in the Cosmos — PoS(NIC XIII)
unpublished
We investigate core-collapse supernova (CCSN) nucleosynthesis in polar axisymmetric simulations using the multidimensional radiation hydrodynamics code CHIMERA. Computational costs have traditionally constrained the evolution of the nuclear composition in CCSN models to, at best, a 14-species α-network. Such a simplified network limits the ability to accurately evolve detailed composition, neutronization and the nuclear energy generation rate. Lagrangian tracer particles are commonly used to
doi:10.22323/1.204.0099
fatcat:s4lft6x45nfwzb6fg3umofvtsi