Supervisors
- Position
- Senior Lecturer
- Division / Faculty
- Faculty of Science
Overview
This project explores accreting supermassive black holes, also known as active galactic nuclei (AGN). By combining data from infrared observations with information from other wavelengths, we aim to improve how we identify AGNs and understand their unique properties.
Using infrared colors to locate AGNs and comparing this data with results from spectral energy distribution (SED) analyses, we will refine AGN identification techniques. Researching AGNs is crucial because they play a significant role in galaxy evolution, influencing star formation and the growth of galaxies. This project will enhance our understanding of AGNs and their impact on the universe, advancing our knowledge of cosmic processes.
Research engagement
The student will engage in conducting a literature review, retrieving and crossmatching astronomical data, applying infrared color selection criteria, performing SED decomposition, comparing AGN identification methods, and analysing the physical properties of AGNs and their impact on galaxies.
Research activities
The student will perform data analysis, apply AGN identification techniques, and prepare reports and presentations. They will work under the supervision of Dr Michael Cowley and members of the QUT Astrophysics Research Group.
Outcomes
Skills and experience
The analysis and interpretation of the data will involve custom-designed data processing. Therefore, familiarity with a programming language, such as Python or IDL, is desirable.
Start date
18 November, 2024End date
21 February, 2025Location
QUT or Remote
Keywords
Contact
Michael Cowley, michael.cowley@qut.edu.au