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AN EXPERT COMPUTER PROGRAM FOR CLASSIFYING STARS ON THE MK SPECTRAL CLASSIFICATION SYSTEM

机译:MK光谱分类系统中用于对恒星进行分类的专家计算机程序

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This paper describes an expert computer program (MKCLASS) designed to classify stellar spectra on the MK Spectral Classification system in a way similar to humans—by direct comparison with the MK classification standards. Like an expert human classifier, the program first comes up with a rough spectral type, and then refines that spectral type by direct comparison with MK standards drawn from a standards library. A number of spectral peculiarities, including barium stars, Ap and Am stars, λ Bootis stars, carbon-rich giants, etc., can be detected and classified by the program. The program also evaluates the quality of the delivered spectral type. The program currently is capable of classifying spectra in the violet-green region in either the rectified or flux-calibrated format, although the accuracy of the flux calibration is not important. We report on tests of MKCLASS on spectra classified by human classifiers; those tests suggest that over the entire HR diagram, MKCLASS will classify in the temperature dimension with a precision of 0.6 spectral subclass, and in the luminosity dimension with a precision of about one half of a luminosity class. These results compare well with human classifiers.
机译:本文介绍了一种专家计算机程序(MKCLASS),该程序旨在通过与MK分类标准的直接比较,以类似于人类的方式对MK光谱分类系统上的恒星光谱进行分类。像专业的人类分类器一样,该程序首先提供一个粗糙的光谱类型,然后通过与从标准库中提取的MK标准进行直接比较来细化该光谱类型。该程序可以检测并分类许多光谱特性,包括钡星,Ap和Am星,λBootis星,富碳巨星等。该程序还评估所提供光谱类型的质量。尽管通量校准的准确性并不重要,但该程序目前能够以整流或通量校准格式对紫绿色区域中的光谱进行分类。我们报告了MKCLASS在由人类分类器分类的光谱上的测试;这些测试表明,在整个HR图上,MKCLASS在温度维度上的分类精度为0.6光谱子类,而在亮度维度上的分类精度为发光度类的一半。这些结果与人类分类器比较良好。

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