Double-lined Spectroscopic Binaries from the LAMOST Low-resolution Survey

Abstract We report on a data-driven spectral model that we have developed for the identification of double-lined spectroscopic binary stars (SB2s) in the Large Sky Area Multi-Object fiber Spectroscopic Telescope low-resolution survey ( R ∼ 1800). Employing simultaneous fitting with both single-star and binary-star models, we detected over 4800 SB2 candidates, where both components are detectably contributing to the spectrum, from an initial pool of 2.6 million objects. Tests show that our model favors FGK-type main-sequence binaries with high mass ratio ( q ≥ 0.7) and large radial velocity (RV) separation (ΔRV ≥ 100 km s −1 ). Almost all of these candidates are positioned above the main sequence in the color–magnitude diagram, indicating their binary nature. Additionally, we utilized various observational data, including spectroscopy, photometry, parallax, and extinction, to determine multiple physical parameters such as the effective temperature, age, metallicity, RV, mass, mass ratio, stellar radius, along with their associated uncertainties for these SB2 candidates. For the 44 candidates with seven or more observational epochs, we provide complete orbital solutions. We make available catalogs containing various stellar parameters for identified SB2 systems.

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Publication Details

Journal
The Astrophysical Journal Supplement Series
Published
2024-11-29
DOI
https://doi.org/10.3847/1538-4365/ad856a
Citations
5
Primary Topic
Stellar, planetary, and galactic studies
Type
article
Field-Weighted Citation Impact
1.66

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article

Double-lined Spectroscopic Binaries from the LAMOST Low-resolution Survey

Jianfeng Wu, Yuan-Sen Ting, Bo Zhang, Junhui Liu
5 citations
The Astrophysical Journal Supplement Series
Stellar, planetary, and galactic studies
1.66
article

Double-lined Spectroscopic Binaries from the LAMOST Low-resolution Survey

Jianfeng Wu, Yuan-Sen Ting, Bo Zhang, Junhui Liu
article en
5 citations

Abstract

Abstract We report on a data-driven spectral model that we have developed for the identification of double-lined spectroscopic binary stars (SB2s) in the Large Sky Area Multi-Object fiber Spectroscopic Telescope low-resolution survey ( R ∼ 1800). Employing simultaneous fitting with both single-star and binary-star models, we detected over 4800 SB2 candidates, where both components are detectably contributing to the spectrum, from an initial pool of 2.6 million objects. Tests show that our model favors FGK-type main-sequence binaries with high mass ratio ( q ≥ 0.7) and large radial velocity (RV) separation (ΔRV ≥ 100 km s −1 ). Almost all of these candidates are positioned above the main sequence in the color–magnitude diagram, indicating their binary nature. Additionally, we utilized various observational data, including spectroscopy, photometry, parallax, and extinction, to determine multiple physical parameters such as the effective temperature, age, metallicity, RV, mass, mass ratio, stellar radius, along with their associated uncertainties for these SB2 candidates. For the 44 candidates with seven or more observational epochs, we provide complete orbital solutions. We make available catalogs containing various stellar parameters for identified SB2 systems.

The Astrophysical Journal Supplement SeriesVol. 275(2)
Australian National University (AU), Xiamen University (CN), Chinese Academy of Sciences (CN), National Astronomical Observatories (CN), The Ohio State University (US)
National Natural Science Foundation of China, Chinese Academy of Sciences, National Development and Reform Commission, National Astronomical Observatories, Chinese Academy of Sciences
Openalex Percentile: Top 16%
Stellar, planetary, and galactic studies
1.66
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