English

Nucleosynthetic Analysis of Three-Dimensional Core-Collapse Supernova Simulations

High Energy Astrophysical Phenomena 2024-01-17 v2 Solar and Stellar Astrophysics

Abstract

We study in detail the ejecta conditions and theoretical nucleosynthetic results for 18 three-dimensional core-collapse supernova (CCSN) simulations done by F{\sc ornax}. {Most simulations are carried out to at least 3 seconds after bounce, which allows us to follow their longer-term behaviors.} We find that multi-dimensional effects introduce many complexities into ejecta conditions. We see stochastic electron fraction evolution, complex peak temperature distributions and histories, and long-tail distributions of the time spent within nucleosynthetic temperature ranges. These all lead to substantial variation in CCSN nucleosynthetic yields and differences with 1D results. We discuss the production of lighter α\alpha-nuclei, radioactive isotopes, heavier elements, and a few isotopes of special interest. Comparing pre-CCSN and CCSN contributions, we find that a significant fraction of elements between roughly Si and Ge are generically produced in CCSNe. We find that 44^{44}Ti exhibits an extended production timescale compared to 56^{56}Ni, which may explain its different distribution and higher than previously predicted abundances in supernova remnants such as Cas A and SN1987A. We also discuss the morphology of the ejected elements. This study highlights the high-level diversity of ejecta conditions and nucleosynthetic results in 3D CCSN simulations and emphasizes the need for additional long-term {(\sim10 seconds)} 3D simulations to properly address such complexities.

Keywords

Cite

@article{arxiv.2311.03446,
  title  = {Nucleosynthetic Analysis of Three-Dimensional Core-Collapse Supernova Simulations},
  author = {Tianshu Wang and Adam Burrows},
  journal= {arXiv preprint arXiv:2311.03446},
  year   = {2024}
}

Comments

33 pages, 20 figures. Accepted to ApJ. Tracer data, progenitor profiles, and ejecta nucleosynthetic abundances are available at https://doi.org/10.5281/zenodo.10498615

R2 v1 2026-06-28T13:13:10.179Z