An Anti-Noise Method for Radial Velocity Measurement of M-Type Stars
YI Zhen-ping1, PAN Jing-chang1, SONG Yi-han2, LUO A-li2
1. School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, Weihai 264209, China
2. National Astronomical Observatories (NAOC), Chinese Academy of Sciences, Beijing 100012, China
Abstract：M dwarfs are the most common stars in the Milky Way, and their motion brings to light the evolution of the Milky Way. Radial velocity (RV) of M dwarf is one of the most important parameters to reflect its motion. Chinese large scale scientific construction project LAMOST survey has obtained hundreds of thousands of M-type stars and their radial velocities measurement which needs the automatic and efficient program. The most commonly used method of measuring the radial velocity of an M star is to cross correlation between its observed spectra and the template spectra. However, in the actual process, idiosyncrasies of individual spectra and noises often lead to the loss of accuracy of radial velocities. To alleviate the effect induced by the above factors, in this paper, we try to improve radial velocities measurement of M dwarfs especially for those spectra with higher signal noise ratio but with local noises. A statistical method combining experienced features is proposed to select discriminative wavelength ranges of spectra for radial velocity measurement, avoiding noise affected wavelength regions. Some spectra from LAMOST DR3 M-type catalogue are used to test this method and the results are compared with the radial velocities of the same target from APOGEE. The experimental results show that the proposed method can effectively improve the accuracy of radial velocity measurement for M-type stars by reducing the influence of local spectral noises.
衣振萍，潘景昌，宋轶晗，罗阿理. 一种抗噪声的M型星视向速度测量方法[J]. 光谱学与光谱分析, 2017, 37(08): 2594-2597.
YI Zhen-ping, PAN Jing-chang, SONG Yi-han, LUO A-li. An Anti-Noise Method for Radial Velocity Measurement of M-Type Stars. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(08): 2594-2597.
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