Dr Themiya Nanayakkara
PhD candidate and honours supervision
Higher degrees by research
Accredited to supervise Masters & Doctoral students as Co-Supervisor.
PhD topics and outlines
Deconstructing observed spectral features of galaxies using machine learning techniques: Galaxy spectra are analogous to a human fingerprint or to DNA of living organisms. In this project you will use data from JWST and MAGPI survey to constrain the far-UV ionising continuum of the stars and the nature and geometry of the gas in galaxies in the early Universe through data driven techniques.
Exploring the massive stars in cosmic noon with the MAGPI survey: The ~2 billion year time window between 2<z<4 is one of the most active phases in cosmic evolution. Galaxies in this epoch were evolving rapidly and actively forming most of the observed baryonic mass in the Universe. In this PhD project you will use data from the MAGPI survey, a VLT MUSE large program to explore the rest-UV emission line properties in the z>2T Universe.
Also published as: Nanayakkara, Themiya; Nanayakkara, T.; Nanayakkara, Wellalage; Nanayakkara, W.
This publication listing is provided by Swinburne Research Bank. If you are the owner of this profile, you can update your publications using our online form.
There are no grants to display.
There are no media items to display