2017
DOI: 10.1093/mnras/stx129
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LAMOST Spectroscopic Survey of the Galactic Anticentre (LSS-GAC): the second release of value-added catalogues

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Cited by 68 publications
(48 citation statements)
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“…Note that the M V is derived directly from the spectra with a multivariate regression method based on kernel-based principal component analysis (KPCA), utilizing the LAMOST and Hipparcos ) common stars as training dataset (Xiang et al 2017b,c). With the absolute magnitudes, stellar distance is deduced from the distance modulus, utilizing interstellar extinction derived with the 'star pair' method (Yuan et al 2013Xiang et al 2017c). A comparison with distance inferred from the Gaia TGAS parallax (Gaia Collaboration et al 2016) indicates that our distance estimates reach a precision of 12% given the relatively high spectral S/N of the LAMOST-TGAS common stars, and the systematic error is negligible.…”
Section: The Data Samplementioning
confidence: 90%
“…Note that the M V is derived directly from the spectra with a multivariate regression method based on kernel-based principal component analysis (KPCA), utilizing the LAMOST and Hipparcos ) common stars as training dataset (Xiang et al 2017b,c). With the absolute magnitudes, stellar distance is deduced from the distance modulus, utilizing interstellar extinction derived with the 'star pair' method (Yuan et al 2013Xiang et al 2017c). A comparison with distance inferred from the Gaia TGAS parallax (Gaia Collaboration et al 2016) indicates that our distance estimates reach a precision of 12% given the relatively high spectral S/N of the LAMOST-TGAS common stars, and the systematic error is negligible.…”
Section: The Data Samplementioning
confidence: 90%
“…We separately analyse the velocity ellipsoids generated from the combination of 5d phase space information from Gaia DR2 (Brown et al 2018), together with radial velocities from the LAMOST DR4 value added catalogue (Cui et al 2012;Xiang et al 2017). This enables us to analyse the velocity ellipsoids with an independent catalogue of stars.…”
Section: The Lamost Dr4 and Gaia Dr2mentioning
confidence: 99%
“…We build a sample of 5,175 RC stars from Ting et al 2018 which is constructed using data from the APOGEE (Apache Point Observatory Galactic Evolution Experiment, Majewski et al 2017) and LAMOST (Large Sky Area Multi-Object Fibre Spectroscopic Telescope, Xiang et al 2017) surveys. Ting et al 2018 build a RC sample of 92,249 Milky Way stars from APOGEE DR14 and LAMOST DR3 data with ∼ 3% contamination from red giant stars.…”
Section: Red Clump Datamentioning
confidence: 99%