Project Overview

Atlas Galaxia Proxima

Star formation history of the local Milky Way using Gaia DR3 and machine learning

 

Atlas Galaxia Proxima focuses on understanding how stars form by studying the properties of stellar siblings, so-called star clusters, which are born together in collapsing dense molecular clouds. Using data from Gaia, a space mission mapping stars in the Milky Way, the project implements innovative machine-learning tools to identify and accurately characterize star clusters. 

The goal is to create a master catalog called Atlas Galaxia Proxima, providing a detailed overview of star clusters in our local region of the Milky Way. This catalog will study the recent star formation history of the local Milky Way and serve as the foundation for future research on critical astrophysical questions, such as the initial mass function, local gas star formation rate, and timescales for star and planet formation.