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.
|Qualification||Doctor of Philosophy|
|Award date||18 May 2021|
|Publication status||Unpublished - 2020|