期刊文献+

一种基于非线性降维求正常星系红移的新方法 被引量:3

A Novel Method for the Determination of Redshifts of Normal Galaxies by Non-Linear Dimensionality Reduction
下载PDF
导出
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.
出处 《光谱学与光谱分析》 SCIE EI CAS CSCD 北大核心 2006年第1期182-186,共5页 Spectroscopy and Spectral Analysis
基金 国家"863"项目(2003AA133060)资助
关键词 正常星系 红移 LLE(locally linear embedding) 流形 PCA(principal component analysis) Normal galaxies Redshift LLE Manifold PCA
  • 相关文献

参考文献10

  • 1ZHU Ci-sheng(朱慈盛).Astronomy Tutorial(天文学教程:下册).北京:高等教育出版社,1987.280.
  • 2Tonry J, Davis M. Astronomical Journal, 1979, 84 : 1511.
  • 3刘蓉,段福庆,罗阿理.一种基于交叉相关的类星体的红移测量方法[J].光谱学与光谱分析,2005,25(7):1155-1157. 被引量:3
  • 4Glazebrook Karl, et al. Astrophysical Journal, 1998, 492: 98.
  • 5罗阿理,赵永恒.星系光谱的400.0 nm跳变点的自动测量技术[J].光谱学与光谱分析,2001,21(1):19-22. 被引量:3
  • 6段福庆,吴福朝,罗阿理,赵永恒.用于红移测量的基于密度估计的模板匹配法[J].光谱学与光谱分析,2005,25(11):1895-1898. 被引量:9
  • 7YANPing-fan ZHANGChang-shui(阎平凡 张长水).Artificial Neural Networks and Evolutionary Computation(人工神经网络与模拟进化计算)[M].Beijing: Tsinghua University Press(北京: 清华大学,2000..
  • 8Roweis S, Saul L. Science, 2000, 290: 2323.
  • 9FENG Xiang-chu, GAN Xiao-bing(冯象初,甘小冰等编著).Numerical Functional and Wavelets Theory(数值泛函与小波理论).西安:西安电予科技大学出版社,2003.61.
  • 10Kinney A L, Calzetti E, Bohlin R C, et al. Astrophysical Journal, 1996, 467: 38.

二级参考文献13

  • 1赵瑞珍,胡占义,赵永恒.谱线自动提取的小波变换零交叉点方法[J].光谱学与光谱分析,2005,25(1):153-156. 被引量:15
  • 2许馨,罗阿理,吴福朝,赵永恒.基于神经网络的模板匹配方法求正常星系红移[J].光谱学与光谱分析,2005,25(6):996-1001. 被引量:7
  • 3段福庆 吴福朝 罗阿理.光谱学与光谱分析(accepted),.
  • 4覃冬梅.Doctoral Dissertation Institute of Automation,Chinese Academy of Sciences,2003.
  • 5D。noho D.L.IEEE Trans.on IT,1995,41(3):6t3.
  • 6vanden Berk D E,Richards G T,et a1.Astrophysical Journal,2001,122(8):549.
  • 7BIAN Zhao-qi ZHANG Xue-gong(边肇祺 张学工).Pattern Recognition(模式识别)[M].Beijing:Tsinghua University Press(北京:清华大学出版社),2000.136.
  • 8John Tonry, Marc Davis. The Astronomical Journal, 1979, 58(10): 1511.
  • 9WU Yong-dong(吴永东).[D].Institute of Antomation,the Chinese Academy of Sciences(中国科学院自动化研究所),1997.
  • 10ZHOU Hong,HUANG Ling-yun,LUO Man-li.J.of Electronics,2000,22(4):529.

共引文献11

同被引文献110

引证文献3

二级引证文献30

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部