分类: 天文学 >> 天文学 提交时间: 2023-02-19
摘要: 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 $0
分类: 天文学 >> 天文学 提交时间: 2023-02-19
摘要: 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 $0