On the treatment of phenomenological turbulent effects in one dimensional simulations of core-collapse supernovae

TL;DR

This paper introduces a phenomenological 1D turbulent model for core-collapse supernovae, demonstrating how turbulence effects can enable explosions in simplified simulations, providing insights into turbulence's role in supernova dynamics.

Contribution

The study develops a novel 1D turbulent model based on Reynolds decomposition, systematically analyzing turbulence effects on supernova shock evolution and explodability.

Findings

Turbulent effects enable supernova explosions in 1D simulations.

Compression enhances early shock evolution through turbulent energy.

Diffusion coefficients significantly influence shock revival timing.

Abstract

We have developed a phenomenological turbulent model with one-dimensional (1D) simulation based on Reynolds decomposition. Using this method, we have systematically studied models with different effects of compression, mixing length parameters, and diffusion coefficient of internal energy, turbulence energy and electron fraction. With employed turbulent effects, supernova explosion can be achieved in 1D geometry, which can mimic the evolution of shock in the 3D simulations. We found that enhancement of turbulent energy by compression affects the early shock evolution. The diffusion coefficients of internal energy and turbulent energy also affect the explodability. The smaller diffusion makes the shock revival faster. Our comparison between the two reveals that the diffusion coefficients of internal energy has a greater impact. These simulations would help understand the role of turbulence in core-collapse supernovae.