McCaffrey, Joe (2025) Using Cosmological Simulations to Understand Massive Black Hole and Galaxy Formation. PhD thesis, National University of Ireland, Maynooth.
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Abstract
This thesis aims to address some of the current mysteries in early Universe astrophysics.
These include the high-z galaxies that have been discovered by the James Webb Space
Telescope (JWST) and the population of early Universe black holes that exhibit higher
mass and accretion rates than previously expected. We use the high resolution, high-z Renaissance simulations, built using the adaptive mesh-refinement code ENZO, to
achieve this. First we apply post-processing methods to the simulations to investigate
the formation and evolution of heavy seed black holes in rapidly assembling halos in
the early Universe. We find that these black holes struggle to grow in high-z environments,
while also investigating the potential for future Gravitational Wave detectors
like LISA, to detect mergers of black holes similar to those simulated here. We also
use the Renaissance simulations to investigate the validity of standard cosmology in
light of the discovery of very high-z galaxies with JWST. Apparent tensions between
observations and the limits to how stellar matter which forms from barynonic matter,
whose abundance is dictated by ACDM, are starting to arise. This provides the perfect
opportunity to use high-z simulations, like Renaissance, to test these theories directly.
We find that Renaissance is largely able to explain the existence of these galaxies,
while more recently discovered outliers could possibly be explained due to the lack of
resolution on small areas of bursty star formation. The work in this thesis emphasises
the importance of high-z simulations as we start to uncover the early Universe in
incredible detail.
| Item Type: | Thesis (PhD) |
|---|---|
| Keywords: | Cosmological Simulations; Black Hole; Galaxy Formation; |
| Academic Unit: | Faculty of Science & Engineering > Physics |
| Item ID: | 21947 |
| Depositing User: | IR eTheses |
| Date Deposited: | 05 Oct 2026 14:48 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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