40 citations · 77 across the 2 of their papers we have counts for
2 papers
astro-ph.GA2022★ 40 cited
APOGEE Net: An expanded spectral model of both low mass and high mass stars
Dani Sprague, Connor Culhane, Marina Kounkel +17
We train a convolutional neural network, APOGEE Net, to predict , , and, for some stars, [Fe/H], based on the APOGEE spectra. This is the first pipeline ada…
astro-ph.SR2020★ 37 cited
Untangling the Galaxy III: Photometric Search for Pre-main Sequence Stars with Deep Learning
Aidan McBride, Ryan Lingg, Marina Kounkel +2
A reliable census of pre-main sequence stars with known ages is critical to our understanding of early stellar evolution, but historically there has been difficulty in separating s…