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Found 3 papers, 1 papers with code
Parameters for > 300 million Gaia stars: Bayesian inference vs. machine learning
The Gaia Data Release 3 (DR3), published in June 2022, delivers a diverse set of astrometric, photometric, and spectroscopic measurements for more than a billion stars.
The RAdial Velocity Experiment: Parameterization of RAVE spectra based on Convolutional Neural Network
We trained a CNN, adopting stellar atmospheric parameters and chemical abundances from APOGEE DR16 (resolution R~22500) data as training set labels.
Astrophysics of Galaxies Instrumentation and Methods for Astrophysics Solar and Stellar Astrophysics
Photo-astrometric distances, extinctions, and astrophysical parameters for Gaia DR2 stars brighter than G = 18
Combining the precise parallaxes and optical photometry delivered by Gaia's second data release (Gaia DR2) with the photometric catalogues of PanSTARRS-1, 2MASS, and AllWISE, we derive Bayesian stellar parameters, distances, and extinctions for 265 million stars brighter than G=18.
Astrophysics of Galaxies Solar and Stellar Astrophysics 85A15
