Neutrino-Driven Convection in Core-Collapse Supernovae: High-Resolution Simulations
David Radice, Christian D. Ott, Ernazar Abdikamalov, Sean M., Couch, Roland Haas, Erik Schnetter

TL;DR
This paper uses high-resolution simulations to analyze neutrino-driven convection in core-collapse supernovae, revealing turbulence's role in shock dynamics and emphasizing the importance of resolution for accurate turbulence modeling.
Contribution
It introduces a detailed analysis of turbulence effects on supernova shock evolution and highlights the impact of numerical resolution on turbulence spectra.
Findings
Turbulent convection provides significant pressure support but does not generate net positive energy flux.
An approximate equation predicts shock evolution based on turbulent pressure and non-radial motions.
Higher resolution recovers Kolmogorov turbulence scaling, reducing numerical artifacts.
Abstract
We present results from high-resolution semi-global simulations of neutrino-driven convection in core-collapse supernovae. We employ an idealized setup with parametrized neutrino heating/cooling and nuclear dissociation at the shock front. We study the internal dynamics of neutrino-driven convection and its role in re-distributing energy and momentum through the gain region. We find that even if buoyant plumes are able to locally transfer heat up to the shock, convection is not able to create a net positive energy flux and overcome the downwards transport of energy from the accretion flow. Turbulent convection does, however, provide a significant effective pressure support to the accretion flow as it favors the accumulation of energy, mass and momentum in the gain region. We derive an approximate equation that is able to explain and predict the shock evolution in terms of integrals of…
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