Estimating stellar atmospheric parameters, absolute magnitudes and elemental abundances from the LAMOST spectra with Kernel-based principal component analysis

• DOI: 10.1093/mnras/stw2523
• Publication Date: 2016-10-04T11:05:50Z
• Authors: M.-S. Xiang; X.-W. Liu; J.-R. Shi; H.-B. Yuan; Y. Huang; A.-L. Luo; H.-W. Zhang; Y.-H. Zhao; J.-N. Zhang; J.-J. Ren; B.-Q. Chen; C. Wang; J. Li; Z.-Y. Huo; W. Zhang; J.-L. Wang; Y. Zhang; Y.-H. Hou; Y.-F. Wang
• Keywords: LAMOST; Surface gravity; Absolute magnitude; Effective temperature

Accurate determination of stellar atmospheric parameters and elemental abundances is crucial for Galactic archeology via large-scale spectroscopic surveys. In this paper, we estimate -- effective temperature T_{\rm eff}, surface gravity log g metallicity [Fe/H], absolute magnitudes M_V M_{Ks}, {\alpha}-element to metal (and iron) abundance ratio [{\alpha}/M] [{\alpha}/Fe]), as well carbon nitrogen [C/H] [N/H] from the LAMOST spectra with amultivariate regressionmethod based on kernel-based principal component analysis, using stars in common other surveys (Hipparcos, Kepler, APOGEE) training data sets. Both internal external examinations indicate that given a spectral signal-to-noise (SNR) better than 50, our method capable delivering precision ~100K Teff, ~0.1 dex g, 0.3 0.4mag 0.1 [N/H], 0.05 ([{\alpha}/Fe]). The results are satisfactory even SNR 20. work presents first determinations vast set LAMOST, and, knowledge, reported implementation magnitude estimation directly observed spectra. derived millions will be publicly available form value-added catalogues.