摘要
文章给出了一种基于密度估计的模板匹配法来确定红移,将确定红移问题转化为寻找密度最大点问题。该方法首先利用基于均值漂移的谱线自动提取方法提取出特征谱线;再根据提取出的特征波长序列与模板的谱线表,由红移公式构造出一个数据集Z;最后,寻找数据集中的密度最大点,对密度最大点的ε-邻域中的点进行平均得到红移值。该方法利用了特征波长和谱线类型信息,可以处理各种类型的天体。在构造数据集时忽略谱线类型不匹配及特征波长明显不匹配的情况,这就去除了很大的干扰并且加快了运行速度。试验结果表明:该方法的稳定性较好,正确率也较高。
The present paper proposes a modal matching method based on density estimation for redshift determination, in which the problem of redshift determination is translated into the problem of searching for the point of maximum density within a data set. At first, the mean shift-based method for auto-extraction of spectral lines is used to get feature spectral lines. Secondly, according to the redshift formula, the authors use the feature wavelength array and the spectral template to get a data set. Finally, the authors find the point of maximum density within the data set, then the average of the data in s-neighbor of the point is regarded as the redshift estimation. The information of feature wavelength and spectral line type is used in this method so that it can deal with every kind of spectra. Experiments show that our method is stable and the correct identification rate is high.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2005年第11期1895-1898,共4页
Spectroscopy and Spectral Analysis
基金
"863"计划(2003AA133060)
国家重大科学工程LAMOST计划资助
关键词
光谱分析
红移测量
模板匹配
特征谱线
Spectral analysis
Redshift determination
Model matching
Feature spectral line
