APOGEE Net: An expanded spectral model of both low mass and high mass stars
Dani Sprague,
Connor Culhane,
Marina Kounkel
et al.
Abstract:We train a convolutional neural network, APOGEE Net, to predict T eff , log g, and, for some stars, [Fe/H], based on the APOGEE spectra. This is the first pipeline adapted for these data that is capable of estimating these parameters in a self-consistent manner not only for low mass stars, (such as main sequence dwarfs, pre-main sequence stars, and red giants), but also high mass stars with T eff in excess of 50,000 K, including hot dwarfs and blue supergiants. The catalog of ∼650,000 stars presented in this p… Show more
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