一种基于非线性降维求正常星系红移的新方法  

A Novel Method for the Determination of Redshifts of Normal Galaxies by Non-Linear Dimensionality Reduction

作　　者：许馨[1] 吴福朝[1] 胡占义[1] 罗阿理[2] 

机构地区：[1]中国科学院自动研究化所国家模式识别实验室,北京100080 [2]中国科学院国家天文台,北京100012

出　　处：《光谱学与光谱分析》2006年第1期182-186,共5页Spectroscopy and Spectral Analysis

基　　金：国家"863"项目(2003AA133060)资助

摘　　要：提出了一种确定正常星系红移的有效方法,该方法分为以下3个步骤:(1)利用四阶小波系数作为正常星系的特征表示,它能较好地反映吸收线、跳变点和吸收带的信息;(2)利用非线性降维方法LLE(locallylinearembedding)将特征数据映射到三维空间中一维流形;(3)由一维流形上的红移分布数据,根据最近邻方法得到正常星系的红移值。实验表明,文中所给的方法较文献中通常使用的PCA方法对于红移的确定具有更高的精度。It is difficult to determine the redshifts of normal galaxies （NG） from their spectra because of their common weak absorption property. In the present work, a novel method is proposed to effectively deal with this issue. The propped method is composed of the following three parts： At first, the wavelet transform coefficients at the fourth scaling are experimentally found to be appropriate and used as our features to represent the absorption information from NG absorption fines, break points, and absorption bands. Then, the features are mapped by a non-linear method, LLE（locally linear embedding）, onto an one-dimensional manifold in the 3D space; Finally, the NG redshifts are obtained by the nearest neighborhood technique from the redshift distribution on the manifold. Besides, the propesed method is comlpared with widely used PCA method in the literature with SDSS database, and is shown to be more accurate for the redshifts determination.

关 键 词：正常星系 红移 LLE(locally linear embedding) 流形 PCA(principal component analysis) 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]