GyroNet: Well-calibrated Rotation-based Stellar Ages from a Machine Learning and Bayesian Framework with Gaia DR3 Features
Stellar age is among the most difficult fundamental parameters to measure, yet it anchors the interpretation of astrophysical systems across many contexts. Gyrochronology provides an empirically grounded route to stellar ages via rotation, leveraging photometric rotation periods routinely measured in time-domain survey...