626 citations · 4.2k across the 98 of their papers we have counts for
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Chasing the impact of the Gaia-Sausage-Enceladus merger on the formation of the Milky Way thick disc
Ioana Ciucă, Daisuke Kawata, Yuan-Sen Ting +8
We employ our Bayesian Machine Learning framework BINGO (Bayesian INference for Galactic archaeOlogy) to obtain high-quality stellar age estimates for 68,360 red giant and red clum…
Spectroscopic follow-up of statistically selected extremely metal-poor star candidates from GALAH DR3
G. S. Da Costa, M. S. Bessell, Thomas Nordlander +5
The advent of large-scale stellar spectroscopic surveys naturally leads to the implementation of machine learning techniques to isolate, for example, small sub-samples of potential…
The Pristine Inner Galaxy Survey (PIGS) IV: A photometric metallicity analysis of the Sagittarius dwarf spheroidal galaxy
Sara Vitali, Anke Arentsen, Else Starkenburg +15
We present a comprehensive metallicity analysis of the Sagittarius dwarf spheroidal galaxy (Sgr dSph) using photometry. We base our member selection on EDR3…
Follow-up observations of the binary system Cep
M. Mugrauer, S. Schlagenhauf, S. Buder +2
We present new imaging and spectroscopic observations of the exoplanet host star Cep A, and of its low-mass stellar companion Cep B. We used AstraLux/CAHA to follow the orb…
The GALAH Survey: A New Sample of Extremely Metal-Poor Stars Using A Machine Learning Classification Algorithm
Arvind C. N. Hughes, Lee R. Spitler, Daniel B. Zucker +21
Extremely Metal-Poor (EMP) stars provide a valuable probe of early chemical enrichment in the Milky Way. Here we leverage a large sample of high-resolution stellar sp…