Abundance Estimates for 16 Elements in 6 Million Stars from LAMOST DR5 Low-Resolution Spectra

We present the determination of stellar parameters and individual elemental abundances for 6 million stars from ∼8 million low-resolution (R ∼ 1800) spectra from LAMOST DR5. This is based on a modeling approach that we dub the data-driven Payne (DD-Payne), which inherits essential ingredients from b...

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Veröffentlicht in:	The Astrophysical journal. Supplement series 2019-12, Vol.245 (2), p.34
Hauptverfasser:	Xiang, Maosheng, Ting, Yuan-Sen, Rix, Hans-Walter, Sandford, Nathan, Buder, Sven, Lind, Karin, Liu, Xiao-Wei, Shi, Jian-Rong, Zhang, Hua-Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Abundance Aluminum Astronomy data analysis Astronomy data modeling Astronomy databases Barium Binary stars Chromium Constraint modelling Copper Estimates Fundamental parameters of stars Iron Labels Magnesium Manganese Metallicity Milky Way Galaxy Nickel Parameters Silicon Sky surveys Spectra Spectroscopic binary stars Spectroscopy Stars Stellar abundances Stellar atmospheres Stellar models Stellar properties Stellar spectral lines Systematics Titanium Training
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