Predicting chemical abund. of open clusters

In this study, we derive the abundances of oxygen (O), magnesium (Mg), silicon (Si), calcium (Ca), and titanium (Ti) for over 6.8 million stars using LAMOST DR11 low-resolution spectra. To ensure reliable measurements, we select 760 OCs spanning a broad range of ages and apply Monte Carlo sampling for accurate abundance estimates.

Additionally, we utilize over 30000 stars from the GALAH DR4 catalog to train an XGBoost model for extracting alpha-element abundances from LAMOST DR11 spectra. Bayesian linear regression is employed to analyze the compositional distribution across the Galactic disk and infer chemical gradients as a function of Galactocentric distance. Our results indicate a general increase in chemical abundances with Galactocentric distance, with oxygen showing the steepest gradient.