Mainz 2022 – scientific programme

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HK: Fachverband Physik der Hadronen und Kerne

HK 33: Nuclear Astrophysics II

HK 33.4: Talk

Tuesday, March 29, 2022, 17:00–17:15, HK-H10

Core-collapse supernova simulations with reduced nucleosynthesis networks — •Gerard Navo¹, Moritz Reichert², Martin Obergaulinger², and Almudena Arcones^1,3,4 — ¹Institut für Kernphysik, Technische Universität Darmstadt, Darmstadt, Germany — ²Departament d'Astronomia i Astrofísica, Universitat de València, Burjassot (València), Spain — ³Helmholtz Forschungsakademie Hessen für FAIR, GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt, Germany — ⁴GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt, Germany

Core-collapse supernovae play a critical role in the chemical history of the universe. In recent years, huge advances have been reported about multidimensional simulations, magnetic fields, neutrino treatment and reactions, high-density equations of state, nucleosynthesis, and long-time evolution connecting to observations. Here we focus on the nucleosynthesis and their treatment within the simulations. Including large nuclear networks in multidimensional simulations is not feasible because of the computational expense. Therefore, often a simple treatment is used for the composition at temperatures where the nuclear statistical equilibrium can no longer be applied. We have now included reduced networks into state-of-the-art supernova simulations (Obergaulinger & Aloy 2017) to account for the composition and energy generation from nuclear reactions. I will present, the impact of several reduced networks based on multidimensional core-collapse supernovae simulations for different progenitors.