Data-Driven Ages from Asteroseismology for FGK Dwarfs

Age is the one of the most difficult stellar properties to constrain. However, upcoming surveys such as PLATO are about to revolutionize our ability to measure FGK dwarf ages with asteroseismology. Here, we use The Cannon to construct a data-driven model for inferring asteroseismic-quality age measurements from large spectroscopic survey observations and demonstrate that forthcoming asteroseismology datasets from future surveys can be leveraged, together with our model, to obtain stellar age samples larger than can be obtained by those surveys alone. We train The Cannon on 323 FGK dwarf stars with asteroseismic age labels from NASA Kepler photometry and high-resolution spectra from the Apache Point Observatory Galactic Evolution Experiment (APOGEE). We apply our model to FGK dwarfs from the Kepler survey that exhibit solar-like oscillations and reproduce their reported asteroseismic-quality ages with an RMS scatter of 1.0 Gyr. We then apply our model to the sample of 3810 Kepler FGK dwarfs with APOGEE spectra to infer data-driven asteroseismic ages. We repeat this for the larger sample of 48,828 FGK dwarfs with APOGEE spectra. Our work demonstrates that data-driven methods can robustly reproduce asteroseismic ages for FGK dwarfs. These methods will be invaluable tools for extending asteroseimology measurements from upcoming surveys (e.g., PLATO) to much larger stellar samples.