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A new approach to characterising radio detected galaxies

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posted on 2025-07-09, 04:55 authored by Jahang Prathap Puthan Kallayi
<p dir="ltr">A supermassive black hole resides in the centre of every galaxy. Some are active, resulting in observational features across the electromagnetic spectrum, and some are quiescent. Using the data from the Galaxy and Mass Assembly (GAMA) G23 region, the Evolutionary Map of the Universe (EMU) survey, and the Wide-field Infrared Survey Explorer (WISE) survey, this thesis proposes a new method for identifying active galactic nuclei (AGN) in low mass (M<sub>∗</sub> ≤ 10<sup>10</sup> M<sub>☉︎</sub>) galaxies. The technique is compared with a selection of different AGN diagnostics to explore the similarities and differences in AGN classification. While diagnostics based on optical and near-infrared criteria (the standard BPT diagram, the WISE colour criterion, and the mass-excitation, or MEx diagram) tend to favour the detection of AGN in high mass, high luminosity systems, the “ProSpect” SED fitting tool can identify AGN efficiently in low mass systems. An explanation for this result is investigated in the context of proportionally lower mass black holes in lower mass galaxies compared to higher mass galaxies and differing proportions of emission from AGN and star formation dominating the light at optical and infrared wavelengths as a function of galaxy stellar mass. Using the same sets of data, this thesis also measures the radio luminosity functions (LFs) of the G23 galaxies as a whole and for AGN and star formers separately. Redshifts and classifications are estimated using simple statistical techniques for those radio galaxies without spectroscopic data. The calculated LFs are compared with the existing studies, and the results suggest that the LFs match remarkably well for low redshift galaxies with an optical counterpart.</p>

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Table of Contents

1 Introduction -- 2 Spectral Energy Distribution Fitting: A Multiwavelength Search -- 3 EMU/GAMA: A Technique for Detecting Active Galactic Nuclei in Low Mass Systems -- 4 Radio Luminosity Functions -- 5 Conclusions and Future Prospects -- References

Awarding Institution

Macquarie University

Degree Type

Thesis MRes

Degree

Master of Research

Department, Centre or School

School of Mathematical and Physical Sciences

Year of Award

2024

Principal Supervisor

Andrew Hopkins

Additional Supervisor 1

Angel Rafael Lopez Sanchez

Additional Supervisor 2

Tayyaba Zafar

Rights

Copyright: The Author Copyright disclaimer: https://www.mq.edu.au/copyright-disclaimer

Language

English

Extent

195 pages

Former Identifiers

AMIS ID: 372361

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