Milky Way open cluster age determination

Precise cluster age determination is essential for studying cluster evolution, as well as the evolution of the disk as a whole. With this work, we aim to produce an updated catalog of cluster parameters (age, extinction, distance) by constraining the age determination via newly available spectroscopic measurements of metallicity, improving upon the precision of existing catalogs.

Using high-quality astrometry from Gaia DR3, we derive new cluster memberships via a Machine Learning-based clustering algorithm (AstroLink). We compile metallicity measurements from multiple ground-based spectroscopic surveys (Gaia-ESO, GALAH DR3, APOGEE-OCCAM) and Gaia GSP-Spec into a uniform scale. The ages of 320 clusters are determined using a Machine Learning-accelerated approximate Bayesian isochrone-fitting code (based on ASteCA), adopting a multiband approach that incorporates Gaia XP and synthetic photometry.