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LAMOST medium-resolution spectroscopic survey of binarity and exotic star (LAMOST-MRS-B): Observation strategy and target selection
Jiao Li(李蛟), Jiang-Dan Li(李江丹), Yan-Jun Guo(郭彦君), Zhan-Wen Han(韩占文), Xue-Fei Chen(陈雪飞), Chao Liu(刘超), Hong-Wei Ge(葛宏伟), Deng-Kai Jiang(姜登凯), Li-Fang Li(李立芳), Bo Zhang(章博), Jia-Ming Liu(刘佳明), Hao Tian(田浩), Hao-Tong Zhang(张昊彤), Hai-Long Yuan(袁海龙), Wen-Yuan Cui(崔文元),Juan-Juan Ren(任娟娟), Jing-Hao Cai(蔡靖豪), and Jian-Rong Shi(施建荣)
Chin. Phys. B, 2023, 32 (1):
019501.
DOI: 10.1088/1674-1056/ac9362
LAMOST-MRS-B is one of the sub-surveys of LAMOST medium-resolution ($R\sim7500$) spectroscopic survey. It aims at studying the statistical properties (e.g., binary fraction, orbital period distribution, mass ratio distribution) of binary stars and exotic stars. We intend to observe about 30000 stars ($10 {\rm mag}\leq G < 14.5$ mag) with at least 10 visits in five years. We first planned to observe 25 plates around the galactic plane in 2018. Then the plates were reduced to 12 in 2019 because of the limitation of observation. At the same time, two new plates located at the high galactic latitude were added to explore binary properties influenced by the different environments. In this survey project, we set the identified exotic and low-metallicity stars with the highest observation priorities. For the rest of the selected stars, we gave the higher priority to the relatively brighter stars in order to obtain high quality spectra as many as possible. Spectra of 49129 stars have been obtained in LAMOST-MRS-B field and released in DR8, of which 28828 and 3375 stars have been visited more than twice and ten times with $\rm SNR \geq 10$, respectively. Most of the sources are B-, A-, and F-type stars with $\rm -0.6< [Fe/H] < 0.4 $ dex. We also obtain 347 identified variable and exotic stars and about 250 stars with $\rm [Fe/H] <-1$ dex. We measure radial velocities (RVs) by using 892233 spectra of the stars. The uncertainties of RV achieve about $1$ ${\rm km \cdot s^{-1}}$and $10$ ${\rm km \cdot s^{-1}}$ for 95% of late- and early-type stars, respectively. The datasets presented in this paper are available at http://www.doi.org/10.57760/sciencedb.j00113.00035.
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