一种抗噪声的M型星视向速度测量方法

发布时间：2018-06-06 17:41

本文选题：视向速度 + LAMOST　；参考：《光谱学与光谱分析》2017年08期

【摘要】：M矮星是银河系中最普遍的恒星,它们的运动状况能提供银河系演化的线索,视向速度(RV)是反映M矮星运动状况的重要参数之一。我国的大科学工程LAMOST巡天项目已经获得了数十万M型星光谱,测量这些恒星的视向速度需要自动、高效的程序。计算M矮星视向速度的一般方法是将观测光谱与模板光谱进行交叉相关得出。然而在实际处理过程中,由于本质上的不同或者噪声的影响,一些观测光谱和模板光谱错误匹配,从而使得这些光谱的视向速度测量产生偏差。为了减少噪声等因素的影响,对于信噪比较高、但局部有较强噪声的光谱,采用统计与经验特征相结合的方法选取光谱中的有效特征段、避开噪声污染的波段计算M型星的视向速度。利用该方法对LAMOST DR3 M型星星表中的部分实测光谱测量了视向速度,将之与APOGEE星表中的对应视向速度进行了对比。结果表明该方法有效地减少了局部噪声对视向速度的影响,提高了视向速度测量的准确率。
[Abstract]:M dwarf stars are the most common stars in the Milky way. Their motion state can provide clues to the evolution of the Milky way. The apparent velocity and RV) are one of the important parameters reflecting the motion state of M dwarf stars. The LAMOST survey project in China has obtained hundreds of thousands of M star spectra. Measuring the apparent velocities of these stars requires an automatic and efficient program. The general method for calculating the apparent velocity of M dwarf star is to cross-correlate the observed spectrum with the template spectrum. However, in the process of processing, because of the difference in nature or the influence of noise, some observation spectra and template spectra are mismatched, which results in the deviation of the apparent velocity measurement of these spectra. In order to reduce the influence of noise and other factors, for the spectrum with high signal-to-noise ratio (SNR) but strong local noise, the method of combining statistical and empirical features is used to select the effective feature segment in the spectrum. The apparent velocity of M type stars is calculated in the band avoiding noise pollution. This method is used to measure the apparent velocities in some of the measured spectra of LAMOST DR3 M star table and to compare them with the corresponding apparent velocities in the APOGEE catalogue. The results show that this method can effectively reduce the influence of local noise on apparent velocity and improve the accuracy of apparent velocity measurement.
【作者单位】：山东大学(威海)机电与信息工程学院;中国科学院国家天文台;
【基金】：国家自然科学基金项目(11603014,U1431102,11673081,11603012) 山东省自然科学基金项目(ZR2015AQ011) 山东大学基本科研业务费项目(2015ZQXM2007)资助
【分类号】：P156

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