The Role of Turbulence in Neutrino-Driven Core-Collapse Supernova Explosions
Sean M. Couch, Christian D. Ott

TL;DR
This study investigates how turbulence influences the explosion mechanism in core-collapse supernovae through high-resolution 3D simulations, revealing the critical role of turbulent ram pressure in enabling explosions at lower neutrino heating.
Contribution
It demonstrates that turbulent ram pressure, rather than just nonradial dynamics, is key to understanding differences in explosion conditions between 1D, 2D, and 3D supernova models.
Findings
Turbulent ram pressure facilitates supernova explosions at lower neutrino heating.
2D simulations tend to explode more easily than 3D due to higher turbulent energy at large scales.
Turbulent energy at large scales explains the discrepancy between 2D and 3D explosion outcomes.
Abstract
The neutrino-heated "gain layer" immediately behind the stalled shock in a core-collapse supernova is unstable to high-Reynolds-number turbulent convection. We carry out and analyze a new set of 19 high-resolution three-dimensional (3D) simulations with a three-species neutrino leakage/heating scheme and compare with spherically-symmetric (1D) and axisymmetric (2D) simulations carried out with the same methods. We study the postbounce supernova evolution in a - progenitor star and vary the local neutrino heating rate, the magnitude and spatial dependence of asphericity from convective burning in the Si/O shell, and spatial resolution. Our simulations suggest that there is a direct correlation between the strength of turbulence in the gain layer and the susceptability to explosion. 2D and 3D simulations explode at much lower neutrino heating rates than 1D simulations. This…
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