SIMBAD references

2022AJ....163..152S - Astron. J., 163, 152-152 (2022/April-0)

APOGEE Net: An Expanded Spectral Model of Both Low-mass and High-mass Stars.

SPRAGUE D., CULHANE C., KOUNKEL M., OLNEY R., COVEY K.R., HUTCHINSON B., LINGG R., STASSUN K.G., ROMAN-ZUNIGA C.G., ROMAN-LOPES A., NIDEVER D., BEATON R.L., BORISSOVA J., STUTZ A., STRINGFELLOW G.S., PENA RAMIREZ K., RAMIREZ-PRECIADO V., HERNANDEZ J., KIM J.S. and LANE R.R.

Abstract (from CDS):

We train a convolutional neural network, APOGEE Net, to predict Teff, logg, and, for some stars, [Fe/H], based on the APOGEE spectra. This is the first pipeline adapted for these data that is capable of estimating these parameters in a self-consistent manner not only for low-mass stars, (such as main-sequence dwarfs, pre-main-sequence stars, and red giants), but also high-mass stars with T eff in excess of 50,000 K, including hot dwarfs and blue supergiants. The catalog of ∼650,000 stars presented in this paper allows for a detailed investigation of the star-forming history of not just the Milky Way, but also of the Magellanic clouds, as different type of objects tracing different parts of these galaxies can be more cleanly selected through their distinct placement in T eff-logg parameter space than in previous APOGEE catalogs produced through different pipelines.

Abstract Copyright: © 2022. The Author(s). Published by the American Astronomical Society.

Journal keyword(s): Astroinformatics - Computational methods - Stellar classification - Massive stars - Magellanic Clouds - Young stellar objects

VizieR on-line data: <Available at CDS (J/AJ/163/152): table1.dat>

Status at CDS : All or part of tables of objects will be ingested in SIMBAD with priority 1.

Simbad objects: 583193

goto Full paper

goto View the references in ADS

To bookmark this query, right click on this link: simbad:2022AJ....163..152S and select 'bookmark this link' or equivalent in the popup menu