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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…
Discovery of post-mass-transfer helium-burning red giants using asteroseismology
Yaguang Li, Timothy R. Bedding, Simon J. Murphy +14
A star expands to become a red giant when it has fused all the hydrogen in its core into helium. If the star is in a binary system, its envelope can overflow onto its companion or…
Measuring the Streaming motion in the Milky Way disc with Gaia EDR3 +
Shourya Khanna, Sanjib Sharma, Joss Bland-Hawthorn +1
We map the 3D kinematics of the Galactic disc out to 3.5 kpc from the Sun, and within 0.75 kpc from the midplane of the Galaxy. To this end, we combine high quality astrometry from…
Chemical Evolution with Radial Mixing Redux: Extending beyond the Solar Neighborhood
Boquan Chen, Michael R. Hayden, Sanjib Sharma +3
We present a multi-zone galactic chemical evolution (GCE) model for the Milky Way that takes the most recently updated yields of major nucleosynthesis channels into account. It inc…
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…