Catalog of atmospheric parameters and chemical abundances from Gaia RVS spectra with convolutional neural network

The table contains atmospheric parameters (Teff, log(g), [M/H]), chemical abundances
([Fe/H], [alpha/M]), and their associated uncertainties for 886080 stars. These labels
were derived using a convolutional neural network applied to the full Gaia data product
in the form of RVS and XP spectra, parallaxes, and stellar magnitudes. As training labels,
we used a set of 45000 stars with high-quality labels from APOGEE DR17. We provide a
boundary_flag that should be used to filter the stars outside of the training sample limits.
We recommend using flag_boundary = '00000000' for science applications.

The full table can be downloaded via following links in FITS or CSV format:

cnn_gaia_rvs_catalog_guiglion_et_al_2023_v2.fits
cnn_gaia_rvs_catalog_guiglion_et_al_2023_v2.csv