2025/11/14 by B Giudici, Giudici, Beatrice, Michael Gabler +3
Physics and Astronomy · #FOS: Physical sciences #Gamma-ray bursts and supernovae #High Energy Astrophysical Phenomena (astro-ph.HE) #Neutrino Physics Research #Nuclear physics research studies #Solar and Stellar Astrophysics (astro-ph.SR)
paper · pdf · doi:10.48550/arxiv.2511.11796
openalex publication_date 2025/11/14 · openalex created_date 2025/11/19 · openalex updated_date 2026/07/28
We present long-term three-dimensional (3D) simulations of Type-IIP supernovae (SNe) for 13 non-rotating, single-star, red-supergiant (RSG) progenitors with zero-age-main-sequence masses between 12.5 M\odot and 27.3 M\odot. The explosions were modelled with a parametric treatment of neutrino heating to obtain defined energies, 56Ni yields, and neutron-star properties in agreement with previous results. Our 3D SN models were evolved from core bounce until 10 days to study how the large-scale mixing of chemical elements depends on the progenitor structure. Rayleigh-Taylor instabilities (RTIs), which grow at the (C+O)/He and He/H interfaces and interact with the reverse shock forming after the SN shock has passed the He/H interface, play a crucial role in the outward mixing of 56Ni into the hydrogen envelope. We find most extreme 56Ni mixing and the highest maximum 56Ni velocities in lower-mass (LM) explosions despite lower explosion energies, and the weakest 56Ni mixing in the 3D explosions of the most massive RSGs. The efficiency of radial 56Ni mixing anti-correlates linearly with the helium-core mass and correlates positively with the magnitude of a local maximum of ρr3 in the helium shell. This maximum causes shock deceleration and therefore facilitates high growth factors of RTI at the (C+O)/He interface in the LM explosions. Therefore fast-moving 56Ni created by the asymmetric neutrino-heating mechanism is carried into the ubiquitous RT-unstable region near the He/H interface and ultimately far into the envelopes of the exploding RSGs. Our correlations may aid improving mixing prescriptions in 1D SN models and deducing progenitor structures from observed SN properties.