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Title: Modelling multi-wavelength evolution of AGN across cosmic time
Author: Griffin, Andrew James
ISNI:       0000 0004 7973 1569
Awarding Body: Durham University
Current Institution: Durham University
Date of Award: 2019
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The evolution of Active Galactic Nuclei (AGNs) is crucial to galaxy evolution, given that AGNs affect their host galaxies via AGN feedback. In this thesis, I present predictions for the evolution of supermassive black holes (SMBHs) and AGNs from the semi-analytic model of galaxy formation galform, over a range of redshift (0 < z < 15) and wavelength (from radio to X-ray). First, I compare SMBH masses and AGN optical to X-ray luminosities from the model for z < 6 to observations, and explore the evolution of typical SMBHs within the model. I find that the median SMBH spin evolves very little over this redshift range. Secondly, I present predictions for z ≥ 7 for future surveys by JWST, EUCLID, ATHENA, and Lynx. I find that Lynx will detect the smallest SMBHs in the smallest host galaxies and host haloes, and that the predictions are generally insensitive to the SMBH seed mass. Thirdly, I predict the evolution of jet powers and (core-dominated) radio luminosities from the model for z < 6, and compare the evolution of these to observations. I predict the jet powers, halo masses, and fuelling mechanisms that dominate the model predictions. Finally, I present predictions of radio luminosities, lobe sizes and Fanaroff-Riley types of radio sources by combining a radio lobe evolution model appropriate for extended sources with the galaxy formation model. I find that this model generally is in good agreement with observed radio properties at z = 0, except for the fractions of Fanaroff-Riley sources, the number of low luminosity radio sources in high stellar mass galaxies, and the number of large sources. I explore the effect of varying different free parameters of this radio model, and suggest potential improvements.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available