With this project, we are examining if recently discovered galaxies reside in denser environments compared to the general galaxy population and we attempt to model its underlying dark matter structure. This project creates a pipeline for astrophysical data analysis that any student familiar with Python can carry out, as well as an immersive visualization app for our dataset.
We analyze the environments of these unique galaxies called the Green Peas, which are relevant because their properties resemble the first galaxies ever created, billions of years ago. Using statistical methods and inference techniques, we will attempt to write a theoretical dark matter halo model, which will yield a mathematical function that relates the denseness of the galaxy population to properties of the host galaxy sample.
