Detection of 2460 SB2 candidates in the LAMOST-MRS, using projected rotational velocities and a binary spectral model

Abstract

We present a new method for the detection of double-lined spectroscopic binaries (SB2) using $v\sin i$ values from spectral fits. The method is tested on synthetic and real spectra from LAMOST-MRS. It can reliably detect SB2 candidates for double-lined binaries with $v\sin i_1+v\sin i_2<300km{s}^{-1}$ if the radial velocity separation is large enough. Using this method, we detect 2460 SB2 candidates, 1410 of which are new discoveries. We confirm the correlation between the radial velocity separation estimated by the binary model and $v\sin i_0$ estimated by the single star model using the selected sample. Additionally, our method finds one new SB2 candidate in open cluster M~11.

accepted for publication in MNRAS

References in corpus (4)

• The Gaia mission
• The Gaia-ESO Survey: double, triple and quadruple-line spectroscopic binary candidates
• Double-, triple-line spectroscopic candidates in the LAMOST Medium-Resolution Spectroscopic Survey
• The Spectroscopic Binaries from LAMOST Medium-Resolution Survey (MRS). I. Searching for Double-lined Spectroscopic Binaries (SB2s) with Convolutional Neural Network

Cited by in corpus (6)

• Binary Stars in the New Millennium
• Discovery of one neutron star candidate from radial velocity monitoring
• Stellar X-ray activity and habitability revealed by ROSAT sky survey
• Analysis of the possible satellite contamination in LAMOST-MRS spectra
• Mass Ratio Distribution of Hierarchical Triple Systems from the LAMOST-MRS Survey
• Identification of false positive double-lined spectroscopic binaries in LAMOST-MRS data due to moonlight contamination