# Supernovae feedback propagation: the role of turbulence

**Authors:** Loke Ohlin, Florent Renaud, Oscar Agertz

arXiv: 1902.00028 · 2019-03-20

## TL;DR

This paper investigates how turbulence influences supernova feedback propagation, revealing that while energy and momentum evolution depend on average density, the spatial extent is significantly affected by the density structure, challenging simplified models.

## Contribution

It demonstrates that turbulence and density structure critically impact supernova bubble evolution, highlighting limitations of spherically symmetric models for feedback simulations.

## Key findings

- Energy and momentum evolution depend on average density.
- Density structure affects the spatial extent of supernova bubbles.
- Spherical models are inadequate for accurate feedback representation.

## Abstract

Modelling the propagation of supernova (SN) bubbles, in terms of energy, momentum and spatial extent, is critical for simulations of galaxy evolution which do not capture these scales. To date, small scale models of SN feedback predict that the evolution of above-mentioned quantities can be solely parameterised by average quantities of the surrounding gas, such as density. However, most of these studies neglect the turbulent motions of this medium. In this paper, we study the propagation and evolution of SNe in turbulent environments. We confirm that the time evolution of injected energy and momentum can be characterised by the average density. However, the details of the density structure of the interstellar medium play a crucial role in the spatial extent of the bubble, even at a given average density. We demonstrate that spherically symmetric models of SN bubbles do not model well their spatial extent, and therefore cannot not be used to design sub-grid models of SNe feedback at galactic and cosmological scales.

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/1902.00028/full.md

## References

64 references — full list in the complete paper: https://tomesphere.com/paper/1902.00028/full.md

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Source: https://tomesphere.com/paper/1902.00028