StarHorse parameters for spectroscopic surveys with Gaia EDR3: ages for sub-giants and chemical substructures in the solar vicinity

The ESA's astrometric flagship mission Gaia has added an invaluable wealth of astrometric and photometric data for more than a billion stars in our Galaxy (Gaia Collaboration et al. 2018). The synergy between Gaia astrometry, the large set of spectroscopic and photometric surveys gives us comprehensive information about individual stars. In this talk we show how to complement these data sets, with the determination of distance, extinction, masses, and additional parameters produced with the Bayesian isochrone-fitting code StarHorse (Santiago et al., 2016, Queiroz et al., 2018). As input, we collect spectral information from surveys such as GALAH+ DR3, LAMOST DR7 LRS and MRS, APOGEE DR17, RAVE DR6, SDSS DR12, Gaia RVS and Gaia-ESO DR3 and combine it with Gaia EDR3 parallaxes and photometry. We also make public ages for the sub-giant regime, approximately 960k stars, with mean age uncertainties around 20%. The resulting catalogues are essential to model the Milky Way's chemo-dynamical history and work as optimal training sets. To further validate and analyse these samples, we show age-dependent chemical relations (chemical clocks) and apply the dimensionality reduction technique t-SNE with the clustering method HDBSCAN to find groups with similar ages and compositions