Gaussian Mixture Models on Galactic Sources

Simple Summary: With the increasing amount of data coming in from telescopes both ground- and space-based, it has become impossible for astronomers to perform by-hand in depth analyses of all of these observations. Nevertheless, the regions surrounding massive stars are immensely complex and are dominated by a multitude of stellar feedback forces at any point in time. Understanding these, and thereby improving our understanding of how heavy stars impact further star formation, requires the in-depth analyses. In this work we have attempted to partially automate this analysis by creating a model based on GMMis by Melichor & Goulding (link) that is able to identify similar pixels within such a region.

This work was performed as my First Master Project for the Master Astronomy & Data Science, the resulting thesis can be found  here. It has since been expanded into an article that has been published by the Astrophysical Journal which can be accessed at doi.org/10.3847/1538-4357/ad003c The corresponding code is findable on  GitHub.