Dataset for AspGap: Augmented Stellar Parameters and Abundances for 37 million RGB stars from Gaia XP

AspGap is a novel data-driven model to perform regressions with the XP spectra, augmented by transfer learning from high-resolution APOGEE spectra. Using a training set of stellar labels from APOGEE, we demonstrate that AspGap can deliver effective temperature, surface gravity, metallicity, and alpha abundance to accuracies of ~ 1%, 0.15 dex, 0.07 dex, and 0.03 dex, respectively. See the paper for more details.

In version 4, JDrgb_37m.hdf5 is the compiled catalog of 37 million RGB stars,

JDrgb_14m_hasrv.hdf5 is the catalog inculdes radial velocity (RV) measurements by Gaia. 

JDrgb_12m_v3_3_6dBJ.hdf5 is left from version 3.3, with RV, and distances are obtained by cross-matching with Bailer-Jones+ (2021) for user-friendly access (12 million). The AspGap labels are introduced in our paper, and the 6-D coordinates (x, y, z, vx, vy, vz) are calculated using astropy.coord.galactocentric_frame_defaults.set('v4.0')

The following code provides a recommended way to easily read the catalog:

import vaex

cat = vaex.open("JDrgb_12m_v3_3_6dBJ.hdf5")

# if you work with astropy.table
tab_astropy = cat.to_astropy_table()

# or pd.DataFrame ...
tab_df = cat.to_pandas_df()