Searching for hot subdwarf stars from the LAMOST Spectra. II. Pure spectroscopic identification method for hot subdwarfs

0511509 - ASÚ 2020 RIV JP eng J - Článek v odborném periodiku
Lei, Z. - Bu, Y. - Zhao, J. - Németh, Péter - Zhao, G.
Searching for hot subdwarf stars from the LAMOST Spectra. II. Pure spectroscopic identification method for hot subdwarfs.
Publications of the Astronomical Society of Japan. Roč. 71, č. 2 (2019), č. článku 41. ISSN 0004-6264. E-ISSN 2053-051X
Grant CEP: GA ČR(CZ) GA18-20083S
Institucionální podpora: RVO:67985815
Klíčová slova: miscellaneous methods * subdwarfs * surveys
Obor OECD: Astronomy (including astrophysics,space science)
Impakt faktor: 5.024, rok: 2019
Způsob publikování: Omezený přístup
https://doi.org/10.1093/pasj/psz006

Employing a new machine-learning method, named the hierarchical extreme learning machine (HELM) algorithm, we identified 56 hot subdwarf stars in the first data release (DR1) of the Large Sky Area Multi-Object Fibre Spectroscopic Telescope (LAMOST) survey. The atmospheric parameters of the stars are obtained by fitting the profiles of hydrogen (H) Balmer lines and helium (He) lines with synthetic spectra calculated from non-local thermodynamic equilibrium (NLTE) model atmospheres.
Trvalý link: http://hdl.handle.net/11104/0301757