Automated classification of sloan digital sky survey (SDSS) stellar spectra using artificial neural networks

被引：21

作者：

Bazarghan, Mahdi ^{[1
]}

Gupta, Ranjan ^{[1
]}

机构：

[1] Inter Univ Ctr Astron & Astrophys, Pune 411007, Maharashtra, India

来源：

ASTROPHYSICS AND SPACE SCIENCE | 2008年 / 315卷 / 1-4期

关键词：

probabilistic neural network; spectra; sloan digital sky survey; spectral classification;

D O I：

10.1007/s10509-008-9816-5

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

Automated techniques have been developed to automate the process of classification of objects or their analysis. The large datasets provided by upcoming spectroscopic surveys with dedicated telescopes urges scientists to use these automated techniques for analysis of such large datasets which are now available to the community. Sloan Digital Sky Survey (SDSS) is one of such surveys releasing massive datasets. We use Probabilistic Neural Network (PNN) for automatic classification of about 5000 SDSS spectra into 158 spectral type of a reference library ranging from O type to M type stars.

引用

页码：201 / 210

页数：10

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