A neural network trained on simulations infers stripping times for Sagittarius stream stars from phase-space data, measuring a 0.3 dex/Gyr metallicity gradient and estimating ages for globular clusters such as Pal 12 and NGC 2419.
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Young giant stars reveal a flaring Milky Way disc with 3.5 kpc radial scale and extended spiral arms including a curved Perseus segment and a new Scutum-associated feature.
An improved distribution-function modeling technique applied to thousands of stars yields a 4 million solar-mass central black hole and a total mass of 2.0-2.3 x 10^7 solar masses within 10 pc of the Milky Way nucleus.
A two-wave radial corrugation model fitted to LAMOST and Gaia data reproduces the observed periodic radial velocity variations and explains the inner-outer disk transition in the Milky Way.
citing papers explorer
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Reconstructing the Stripping History of the Sagittarius Stream with Neural Networks
A neural network trained on simulations infers stripping times for Sagittarius stream stars from phase-space data, measuring a 0.3 dex/Gyr metallicity gradient and estimating ages for globular clusters such as Pal 12 and NGC 2419.
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The flare and spiral structure of the Milky Way's disc as traced by young giant stars
Young giant stars reveal a flaring Milky Way disc with 3.5 kpc radial scale and extended spiral arms including a curved Perseus segment and a new Scutum-associated feature.
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Distribution function-based modelling of discrete kinematic datasets, in application to the Milky Way nuclear star cluster
An improved distribution-function modeling technique applied to thousands of stars yields a 4 million solar-mass central black hole and a total mass of 2.0-2.3 x 10^7 solar masses within 10 pc of the Milky Way nucleus.
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The multiple corrugations in the Galactic disk derived from the LAMOST and Gaia survey data
A two-wave radial corrugation model fitted to LAMOST and Gaia data reproduces the observed periodic radial velocity variations and explains the inner-outer disk transition in the Milky Way.