Machine Learning Analysis of Cool Core Properties in Galaxy Clusters via the TNG-Cluster

Rawan Karam ( Université de Montréal )

The goal of this project is to analyze the cool core properties of galaxy clusters using the TNG-Cluster, the latest addition to the state-of-the-art IllustrisTNG suite of cosmological simulations, through novel machine learning techniques.