Abstract
In this thesis, we explore the connection between dark matter, galaxies and atomic hydrogen (HI) in galaxy formation simulations. For this, we use the semi-analytic model, SHARK, linking it to observations by forward-modelling our simulated galaxies to consider the strong selection effects that HI-surveys suffer from. We next investigate the effect different physical processes have on the total HI content of haloes and develop a numerical model that can populate haloes in dark matter-only simulations with HI. Lastly, we test and compare different observational techniques that measure the HI content of dark matter haloes with our simulations and each other.
Original language | English |
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Qualification | Doctor of Philosophy |
Awarding Institution |
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Award date | 18 May 2021 |
DOIs | |
Publication status | Unpublished - 2020 |