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We utilize a hybrid approach that integrates the traditional cross-correlation function (CCF) and machine learning to detect spectroscopic multi-systems, specifically focusing on double-line spectroscopic binary (SB2). Based on the ninth…

Instrumentation and Methods for Astrophysics · Physics 2024-11-25 Shan-shan Li , Chun-qian Li , Chang-hua Li , Dong-wei Fan , Yun-fei Xu , Lin-ying Mi , Chen-zhou Cui , Jian-rong Shi

Since September 2018, LAMOST starts a new 5-year medium-resolution spectroscopic survey (MRS) using bright/gray nights. We present the scientific goals of LAMOST-MRS and propose a near optimistic strategy of the survey. A complete footprint…

We report on a data-driven spectral model that we have developed for the identification of double-lined spectroscopic binary stars (SB2s) in the LAMOST low-resolution survey (R$\sim$1800). Employing simultaneous fitting with both…

Solar and Stellar Astrophysics · Physics 2024-10-11 Junhui Liu , Bo Zhang , Jianfeng Wu , Yuan-Sen Ting

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…

Solar and Stellar Astrophysics · Physics 2022-10-12 Mikhail Kovalev , Chen Xuefei , Han Zhanwen

The stellar spectra from LAMOST Medium Resolution Survey can be used to search for compact objects in binaries. The LAMOST DR10 catalog includes > 980, 000 targets with multiple medium resolution spectra. We select the targets with large or…

Solar and Stellar Astrophysics · Physics 2024-05-17 Hao-Bin Liu , Wei-Min Gu , Zhi-Xiang Zhang , Tuan Yi , Jin-Zhong Liu , Mouyuan Sun

RV variable stars are important in astrophysics. The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) spectroscopic survey has provided ~ 6.5 million stellar spectra in its Data Release 4 (DR4). During the survey, ~ 4.7…

LAMOST-MRS-B is one of the sub-surveys of LAMOST medium-resolution (R~7500) spectroscopic survey. It aims at studying the statistical properties (e.g., binary fraction, orbital period distribution, mass ratio distribution) of binary stars…

We use an updated method for the detection of double-lined spectroscopic binaries (SB2) using $v \sin{i}$ values from spectral fits. The method is applied to all spectra from LAMOST-MRS. Using this method, we detect 12426 SB2 candidates,…

Solar and Stellar Astrophysics · Physics 2023-10-19 Mikhail Kovalev , Zenghua Zhou , Xuefei Chen , Zhanwen Han

We developed a convolutional neural network (CNN) model to distinguish the double-lined spectroscopic binaries (SB2s) from others based on single exposure medium-resolution spectra ($R\sim 7,500$). The training set consists of a large set…

We study the prospects of searching for black hole (BH) binary systems with a stellar-mass BH and a non-compact visible companion, by utilizing the spectroscopic data of Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST). We…

Solar and Stellar Astrophysics · Physics 2020-01-08 Tuan Yi , Mouyuan Sun , Wei-Min Gu

Most dynamically confirmed stellar-mass black holes and the candidates were originally selected from X-ray outbursts. In the present work, we search for black hole candidates in the LAMOST survey by using the spectra along with photometry…

The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) started median-resolution spectroscopic (MRS, R$\sim$7500) survey since October 2018. The main scientific goals of MRS, including binary stars, pulsators, and other…

Solar and Stellar Astrophysics · Physics 2021-12-08 Jianping Xiong , Bo Zhang , Chao Liu , Jiao Li , Yongheng Zhao , Yonghui Hou

We present a set of white dwarf-main sequence (WDMS) binaries identified spectroscopically from the Large sky Area Multi-Object fiber Spectroscopic Telescope (LAMOST, also called the Guo Shou Jing Telescope) pilot survey. We develop a color…

Solar and Stellar Astrophysics · Physics 2015-06-16 Juanjuan Ren , Ali Luo , Yinbi Li , Peng Wei , Jingkun Zhao , Yongheng Zhao , Yihan Song , Gang Zhao

Hypervelocity stars (HVSs) represent a unique class of objects capable of escaping the gravitational pull of the Milky Way due to extreme acceleration events, such as close encounters with the supermassive black hole at the Galactic center…

Astrophysics of Galaxies · Physics 2025-04-22 Yongkang Sun , Yang Huang , Jifeng Liu , Haozhu Fu , Huawei Zhang , Yinbi Li , Cuihua Du , Jianrong Shi , Xiao Kong

We describe an attempt to derive the binarity rate of samples of 166 A-, F-, G-, and K-type stars from LAMOST DR5 and 1000 randomly selected presumably single stars from Gaia DR3 catalogs. To this end, we compared continua of the observed…

In this paper, we report on 606 S-type stars identified from Data Release 9 of the LAMOST medium-resolution spectroscopic (MRS) survey, and 539 of them are reported for the first time. The discovery of these stars is a three-step process,…

Solar and Stellar Astrophysics · Physics 2022-06-08 Jing Chen , A-Li Luo , Yin-Bi Li , Xiang-Lei Chen , Rui Wang , Shuo Li , Bing Du , Xiao-Xiao Ma

We devise a new method for the detection of double-lined binary stars in a sample of the Radial Velocity Experiment (RAVE) survey spectra. The method is both tested against extensive simulations based on synthetic spectra, and compared to…

Context. Stellar coronal mass ejections (CMEs) are the primary driver of the exoplanetary space weather and they could affect the habitability of exoplanets. However, detections of possible stellar CME signatures are extremely rare. Aims.…

As part of the LAMOST medium-resolution spectroscopic survey, the LAMOST-MRS-O is a non-time domain survey that aims to perform medium-resolution spectral observations for member stars in the open cluster area. This survey plans to obtain…

Astrophysics of Galaxies · Physics 2025-01-16 Xi Zhang , Chengzhi Liu , Jing Zhong , Li Chen , Ali Luo , Jian-Rong Shi , Chao Liu , JianJun Chen , Haotong Zhang , Jinliang Hou

Binary stars are prevalent yet challenging to detect. We present a novel approach using convolutional neural networks (CNNs) to identify binary stars from low-resolution spectra obtained by the LAMOST survey. The CNN is trained on a dataset…

Solar and Stellar Astrophysics · Physics 2025-02-25 Yingjie Jing , Tian-Xiang Mao , Jie Wang , Chao Liu , Xiaodian Chen
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