CAJ | 학술논문

利用多色测光得到的色指数在区分S/C型小行星过程中具有重要的参考意义，由色指数空间主成分分析到的颜色参数a区分S/C类型是一种有效的方法。采用a=0分划的硬分割方法和对a作聚类分析法分别对SDSSMOC4和XSTPS-GAC的小行星多色数据样本进行分类，结果表明：两种方法对较完备的数据样本无明显差别，且都与Carvano的S/C分类结果相符； a=0分划方法对样本空间变化敏感，而a聚类分析方法更为稳定。
이용다색측광득도적색지수재구분S/C형소행성과정중구유중요적삼고의의，유색지수공간주성분분석도적안색삼수a구분S/C류형시일충유효적방법。채용a=0분화적경분할방법화대a작취류분석법분별대SDSSMOC4화XSTPS-GAC적소행성다색수거양본진행분류，결과표명：량충방법대교완비적수거양본무명현차별，차도여Carvano적S/C분류결과상부； a=0분화방법대양본공간변화민감，이a취류분석방법경위은정。
Color indexes are important to classify the S/C type asteroids. The asteroids’ color parameter a reduced from principal component analysis of color indexes is a key parameter of classification. Two methods, dividing by the parameter a directly and the cluster analysis by parameter a, are applied in asteroids’ S/C classification of Sloan Digital Sky Survey (SDSS) and Xuyi Schmidt Telescope Photometric Survey of the Galactic Anti-center. The SDSSMOC4 shows a bimodal distribution in the g-r vs r-i diagram. The results show that these two methods are effective and consistent in the case of large samples, well in accordance with the Carvano’s consequences. But the result divided by parameter a directly is unstable for different subsets, while the cluster analysis is more stable. Both methods still can be used even the variances of the color indexes are large, but the results of classification are not obvious.