SIMBAD references

2020ApJ...888..111O - Astrophys. J., 888, 111-111 (2020/January-2)

Matter mixing in aspherical core-collapse supernovae: three-dimensional simulations with single-star and binary merger progenitor models for SN 1987A.

ONO M., NAGATAKI S., FERRAND G., TAKAHASHI K., UMEDA H., YOSHIDA T., ORLANDO S. and MICELI M.

Abstract (from CDS):

We perform three-dimensional hydrodynamic simulations of aspherical core-collapse supernovae, focusing on the matter mixing in SN 1987A. The impacts of four progenitor (pre-supernova) models and parameterized aspherical explosions are investigated. The four pre-supernova models include a blue supergiant (BSG) model based on a slow-merger scenario developed recently for the progenitor of SN 1987A (Urushibata et al. 2018). The others are a BSG model based on a single-star evolution and two red supergiant (RSG) models. Among the investigated explosion (simulation) models, a model with the binary merger progenitor model and an asymmetric bipolar-like explosion, which invokes a jetlike explosion, best reproduces constraints on the mass of high-velocity 56Ni, as inferred from the observed [Fe II] line profiles. The advantage of the binary merger progenitor model for the matter mixing is the flat and less extended ρ r3 profile of the C+O core and the helium layer, which may be characterized by the small helium core mass. From the best explosion model, the direction of the bipolar explosion axis (the strongest explosion direction) and the neutron star (NS) kick velocity and direction are predicted. Other related implications and future prospects are also given.

Abstract Copyright: © 2020. The American Astronomical Society. All rights reserved.

Journal keyword(s): Core-collapse supernovae - Supernova dynamics - Supergiant stars - Neutron stars - Stellar evolutionary models - Hydrodynamical simulations - Explosive nucleosynthesis

Simbad objects: 12

goto Full paper

goto View the reference in ADS

To bookmark this query, right click on this link: simbad:2020ApJ...888..111O and select 'bookmark this link' or equivalent in the popup menu


2021.04.19-06:23:24

© Université de Strasbourg/CNRS

    • Contact