Astronomy Thesis Collection
Published August 1, 2015 | Version v1
Thesis Open

A supernova feedback implementation for the astrophysical simulation software Arepo

Authors/Creators

  • 1. Ruprecht-Karls-Universität Heidelberg

Contributors

Description

Please see the current version (v2) on arXiv (https://arxiv.org/abs/1604.06071)

This version is as submitted to the university for my master's degree. I might have worded
my critique of Arepo a bit too harshly, and a significant amount of issues were already addressed since the original submission. I removed section 3.4 and most of the discussion in 4.1, as these sections may need rework and further objective underpinning.

Supernova (SN) explosions play an important role in the development of galactic structures.
The energy and momentum imparted on the interstellar medium (ISM) in so called
”supernova feedback” drives turbulence, heats the gas, enriches it with heavy
elements, can lead to the formation of new stars or even suppress star formation by
disrupting stellar nurseries. In the numerical simulation at the sub-galactic level, not
including the energy and momentum of supernovas in the physical description of the
problem can also lead to several problems that might partially be resolved by including
a description of supernovas.
In this thesis such an implementation is attempted for the combined numerical hydrodynamics
and N-body simulation software Arepo (Springel, 2010). In a stochastic
process a large amount of thermal energy is imparted on a number of neighbouring
cells, mimicking the effect of a supernova explosions.
We test this approach by modelling the explosion of a single supernova in a uniform
density medium and comparing the evolution of the resulting supernova remnant to
the theoretically-predicted behaviour. We also run a simulation with our feedback
code and a fixed supernova rate derived from the Kennicutt-Schmidt relation (Kennicutt,
1998) for a duration of about 20 Myrs. We describe our method in detail in this
text and discuss the properties of our implementation.

Notes

Please see the current version (v2) on arXiv (https://arxiv.org/abs/1604.06071) This version is as submitted to the university for my master's degree. I might have worded my critique of Arepo a bit too harshly, and a significant amount of issues were already addressed since the original submission. I removed section 3.4 and most of the discussion in 4.1, as these sections may need rework and further objective underpinning.

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