Automatic classification of spectra from the Infrared Astronomical Satellite (IRAS)
Automatic classification of spectra from the Infrared Astronomical Satellite (IRAS)
复制标题
红外天文卫星 (IRAS) 光谱的自动分类
DOI：
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发表时间：
1989
期刊：
影响因子：
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通讯作者：
H. Walker
中科院分区：
文献类型：
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作者：
P. Cheeseman;J. Stutz;Matthew Self;Will Taylor;J. Goebel;K. Volk;H. Walker
提出了一种新的红外天文卫星红外光谱分类方法。光谱类别是由一个名为Auto Class 2的程序自动发现的。该程序是一种利用贝叶斯概率方法从数据库中发现(归纳)类别的方法。这些类可以用来洞察特定领域中发生的模式，在这种情况下，红外天文光谱学。被分类的光谱是5425个源的完整低分辨率光谱(LRS)图谱。在这个分类中有77个类别，这些类别依次被元分类以产生9个元类别。分类可分为光谱图、IRAS色彩图、星系分布图和类注解。还给出了按IRA名称和自动分类列出来源的交叉引用表。这些类显示了一些众所周知的类，如黑体类和硅酸盐发射类，但许多其他类是没有被怀疑的，而其他类则显示了众所周知的类中重要的细微差别。
A new classification of Infrared spectra collected by the Infrared Astronomical Satellite (IRAS) is presented. The spectral classes were discovered automatically by a program called Auto Class 2. This program is a method for discovering (inducing) classes from a data base, utilizing a Bayesian probability approach. These classes can be used to give insight into the patterns that occur in the particular domain, in this case, infrared astronomical spectroscopy. The classified spectra are the entire Low Resolution Spectra (LRS) Atlas of 5,425 sources. There are seventy-seven classes in this classification and these in turn were meta-classified to produce nine meta-classes. The classification is presented as spectral plots, IRAS color-color plots, galactic distribution plots and class commentaries. Cross-reference tables, listing the sources by IRAS name and by Auto Class class, are also given. These classes show some of the well known classes, such as the black-body class, and silicate emission classes, but many other classes were unsuspected, while others show important subtle differences within the well known classes.