Advancing Nucleosynthesis in Self-consistent, Multidimensional Models of Core-Collapse Supernovae - INSPIRE

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Advancing Nucleosynthesis in Self-consistent, Multidimensional Models of Core-Collapse Supernovae

Oct 31, 2014

6 pages

Part of Proceedings, 13th International Symposium on Nuclei in the Cosmos (NIC XIII) : Debrecen, Hungary, July 7-11, 2014, 099

Published in:

PoS NICXIII (2015) 099

Contribution to:

- NIC-XIII
, 099

Published: Nov 4, 2014 by SISSA

e-Print:

1411.0037 [astro-ph.SR]

DOI:

10.22323/1.204.0099,
10.22323/1.204/0099 (publication)

View in:

ADS Abstract Service

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Abstract: (arXiv)

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

\alpha

-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 extend the nuclear network evolution by incorporating more realistic networks in post-processing nucleosynthesis calculations. Limitations such as poor spatial resolution of the tracer particles, estimation of the expansion timescales, and determination of the "mass-cut" at the end of the simulation impose uncertainties inherent to this approach. We present a detailed analysis of the impact of these uncertainties on post-processing nucleosynthesis calculations and implications for future models.

Note:

Proceedings of the 13th Symposium on Nuclei in the Cosmos. 7-11 July 2014. Debrecen, Hungary

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