一种基于Ca线线指数回归的恒星大气金属丰度估计方法

发布时间：2018-02-03 13:24

本文关键词： 恒星光谱金属丰度 LAMOST巡天 Ca线线指数　出处：《光谱学与光谱分析》2015年09期 　论文类型：期刊论文

【摘要】：提出一种基于BP神经网络及Ca线线指数估计恒星大气金属丰度的方法。该方法以从斯隆数字巡天SDSS中恒星光谱以及SSPP给出的参数作为训练样本,其中每条恒星光谱计算16个Ca线线指数,结合其他方法得到的表面有效温度Teff作为输入,以SSPP得到的金属丰度[Fe/H]作为输出,对训练样本进行重采样后通过训练得到一个人工神经网络,通过该网络可以用来预测恒星光谱的[Fe/H]。通过相关实验表明,提出的方法能够准确而且有效的测量出恒星光谱的[Fe/H]。
[Abstract]:A method for estimating the atmospheric metal abundance of stars based on BP neural network and Ca line index is presented. The star spectrum from Sloan Digital Sky Survey (SDSS) and the parameters given by SSPP are used as training samples. . The spectra of each star calculated the index of 16 Ca lines, combined with the surface effective temperature Teff obtained by other methods as input, the metal abundance obtained by SSPP was taken as input. [Fe/H] as an output, the training samples are resampled and then trained to obtain an artificial neural network, which can be used to predict the spectra of stars. [Fe/H]. The experimental results show that the proposed method can accurately and effectively measure the spectra of stars. [Fe/H].
【作者单位】：山东大学(威海)机电与信息工程学院;中国科学院光学天文重点实验室国家天文台;华南师范大学数学科学学院;
【基金】：国家自然科学基金项目(U1431102,61273248)资助
【分类号】：P148
【正文快照】： 2.中国科学院光学天文重点实验室,国家天文台,北京1000123.华南师范大学数学科学学院,广东广州510631引言大天区面积多目标光纤光谱望远镜(LAMOST,又称郭守敬望远镜)是我国于十五期间建设的大型基础科学研究设施,是一台专用于光谱巡天的望远镜。自2011年开始先导巡天以来,已观

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