Gaia Data Release 2. First stellar parameters from Apsis
Sign Up to like & getrecommendations! Published in 2018 at "Astronomy and Astrophysics"
DOI: 10.1051/0004-6361/201732516
Abstract: The second Gaia data release (Gaia DR2) contains, beyond the astrometry, three-band photometry for 1.38 billion sources. One band is the G band, the other two were obtained by integrating the Gaia prism spectra (BP… read more here.
Keywords: data release; gaia data; million sources; stellar parameters ... See more keywords
Evaluation of Stellar Parameters and Calibrating the Surface Gravity log g for LAMOST-II Median Resolution Survey
Sign Up to like & getrecommendations! Published in 2021 at "Publications of the Astronomical Society of the Pacific"
DOI: 10.1088/1538-3873/abe0ac
Abstract: The LAMOST II survey began in the fall of 2018, and LAMOST formally released the obtained medium-resolution spectra (MRS) as well as catalogs of stellar parameters and radial velocities (RV) derived from the MRS in… read more here.
Keywords: resolution; stellar parameters; survey; mrs ... See more keywords
Stellar parameters of main sequence turn-off star candidates observed with LAMOST and Kepler
Sign Up to like & getrecommendations! Published in 2017 at "Research in Astronomy and Astrophysics"
DOI: 10.1088/1674-4527/17/1/5
Abstract: Main sequence turn-off (MSTO) stars have advantages as indicators of Galactic evolution since their ages can be robustly estimated from atmospheric parameters. Hundreds of thousands of MSTO stars have been selected from the LAMOST Galactic… read more here.
Keywords: star candidates; stellar parameters; main sequence; sequence turn ... See more keywords
Stellar Parameters, Extinction, and Distances for Stars in SMSS DR2 by the SPar Method
Sign Up to like & getrecommendations! Published in 2025 at "Research in Astronomy and Astrophysics"
DOI: 10.1088/1674-4527/adc5e1
Abstract: The availability of large data sets containing stellar parameters, distances, and extinctions for stars in the Milky Way, particularly within the Galactic disk, is essential for advancing our understanding of the Galaxy’s stellar populations, structure,… read more here.
Keywords: method; extinction distances; distances stars; stellar parameters ... See more keywords
4D Grid-fitting of UV-optical Spectra of Massive Stars. I. Numerical Technique and its Associated Uncertainties
Sign Up to like & getrecommendations! Published in 2024 at "Research in Astronomy and Astrophysics"
DOI: 10.1088/1674-4527/addbc6
Abstract: The best way to check the validity of our theories (models) is by direct comparison with the experiment (observations). However, this process suffers from numerical inaccuracies, which are not frequently studied and often remain mostly… read more here.
Keywords: precision; optical spectra; grid fitting; precision derived ... See more keywords
The close binary fraction as a function of stellar parameters in APOGEE: a strong anticorrelation with α abundances
Sign Up to like & getrecommendations! Published in 2020 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/staa2859
Abstract: We use observations from the APOGEE survey to explore the relationship between stellar parameters and multiplicity. We combine high-resolution repeat spectroscopy for 41,363 dwarf and subgiant stars with abundance measurements from the APOGEE pipeline and… read more here.
Keywords: multiplicity; binary fraction; fraction function; stellar parameters ... See more keywords
Machines learn to infer stellar parameters just by looking at a large number of spectra
Sign Up to like & getrecommendations! Published in 2021 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/staa3540
Abstract: Machine learning has been widely applied to clearly defined problems of astronomy and astrophysics. However, deep learning and its conceptual differences to classical machine learning have been largely overlooked in these fields. The broad hypothesis… read more here.
Keywords: learn infer; number; stellar parameters; infer stellar ... See more keywords
Deep learning application for stellar parameter determination: III-denoising procedure
Sign Up to like & getrecommendations! Published in 2025 at "Open Astronomy"
DOI: 10.1515/astro-2024-0010
Abstract: Abstract In this third article in a series, we investigate the need of spectra denoising for the derivation of stellar parameters. We have used two distinct datasets for this work. The first one contains spectra… read more here.
Keywords: deep learning; parameter determination; learning application; application stellar ... See more keywords