Data
Nucleosynthesis with multi-dimensional supernova simulations featuring Andre Sieverding (LLNL)
Hosted by: Avrajit Bandyopadhyay
Core-collapse supernovae, the extremely energetic explosions of stars 10 times more massive than our sun, are known to be major contributors to the synthesis of the elements in the universe. Most of our understanding of these contributions is based on parameterized, spherically symmetric models. Only recently, multi-dimensional, self-consistent simulations have been carried out. Evaluating the nucleosynthesis of such large-scale simulations poses unique challenges and opens up new questions, that will be presented here. The first studies in this area, however, also show that there is a large potential for such simulations to address some long-standing tensions between theory and observations and due to the large variability of conditions predicted by the recent simulations, accurate predictions of the compositions requires knowledge of the nuclear properties and cross-sections on both sides of beta-stability. Prepared by LLNL under Contract No. DE-AC52-07NA27344. This research was supported by the European Union's Horizon Europe Programme under Marie Sklodowska-Curie grant agreement No.101065891, and by the German Research Foundation through the Collaborative Research Centre “Neutrinos and Dark Matter in Astro-and Particle Physics (NDM)”, grant No. SFB-1258-283604770, and through the Cluster of Excellence ORIGINS (EXC2094-390783311). LLNL-ABS-858843