All Outputs (2)

Machine learning identification of massive young stellar objects in Local Group galaxies (2023)
Thesis
Kinson, D. A. (2023). Machine learning identification of massive young stellar objects in Local Group galaxies. (Thesis). Keele University

This thesis presents the development and implementation of a machine learning classification of massive Young Stellar Objects (YSOs) in two Local Group galaxies, NGC6822 and M33. Using archival near- and far-IR data, point sources in both galaxies ar... Read More about Machine learning identification of massive young stellar objects in Local Group galaxies.

Pre-main-sequence populations and young stellar variability in the Large Magellanic Cloud (2020)
Thesis
Zivkov, V. (2020). Pre-main-sequence populations and young stellar variability in the Large Magellanic Cloud. (Thesis). Keele University

Detailed studies of intermediate- and low-mass pre-main-sequence (PMS) stars outside the Galaxy have so far been conducted only for small targeted regions harbouring known star formation complexes. This work presents a comprehensive analysis of the P... Read More about Pre-main-sequence populations and young stellar variability in the Large Magellanic Cloud.