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

TL;DR

This paper introduces a novel spectral analysis method to identify double-lined spectroscopic binaries (SB2) using projected rotational velocities, successfully detecting 2460 candidates including 1410 new ones, and confirming key correlations.

Contribution

The paper presents a new technique leveraging $v\sin{i}$ values for SB2 detection, improving identification accuracy and discovering numerous new candidates in LAMOST-MRS spectra.

Findings

Detected 2460 SB2 candidates, with 1410 new discoveries.

Confirmed correlation between radial velocity separation and $v\sin{i}_0$.

Identified a new SB2 candidate in open cluster M~11.

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 $v\sin{i}_1+v\sin{i}_2<300\,km\,s^{-1}$ 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.