Machine-learning Regression of Stellar Effective Temperatures in the Second Gaia Data Release
Machine-learning Regression of Stellar Effective Temperatures in the Second Gaia Data Release
Abstract This paper reports on the application of the supervised machine-learning algorithm to the stellar effective temperature regression for the second Gaia data release, based on the combination of the stars in four spectroscopic surveys: the Large Sky Area Multi-Object Fiber Spectroscopic Telescope, Sloan Extension for Galactic Understanding and Exploration, …