The Circular Velocity Curve of the Milky Way from 5 to 25 kpc using luminous red giant branch star
Yuan Zhou, Xinyi Li, Yang Huang, Huawei Zhang

TL;DR
This study measures the Milky Way's rotation curve from 5 to 25 kpc using a large sample of luminous red giant stars, deriving precise distances with machine learning, and constructs a detailed mass model including dark matter halo properties.
Contribution
It provides a highly accurate measurement of the Milky Way's rotation curve over a broad radius range using a novel machine learning-based distance estimation method for a large stellar sample.
Findings
Rotation curve shows a weak decline with radius.
Circular velocity at the Sun's position is 234 km/s.
Dark matter halo mass is estimated at 8.05 x 10^{11} solar masses.
Abstract
We present a sample of 254,882 luminous red giant branch (LRGB) stars selected from the APOGEE and LAMOST surveys. By combining photometric and astrometric information from the 2MASS and Gaia surveys, the precise distances of the sample stars are determined by a supervised machine learning algorithm: the gradient boosted decision trees. To test the accuracy of the derived distances, member stars of globular clusters (GCs) and open clusters (OCs) are used. The tests by cluster member stars show a precision of about 10 per cent with negligible zero-point offsets, for the derived distances of our sample stars. The final sample covers a large volume of the Galactic disk(s) and halo of kpc and kpc. The rotation curve (RC) of the Milky Way across radius of kpc have been accurately measured with 54,000 stars of the thin disk population…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Astrophysics and Star Formation Studies
