均值漂移算法在LAMOST动态选星中的应用  

Application of Mean Shift Algorithm for Dynamic-Object-Selection of LAMOST

作　　者：任间[1] 王坚[1] 李锋[1] 黄鲲[1] 朱利平[1] 姚仰光[1] 袁海龙[1] 金革[1] 

机构地区：[1]中国科学技术大学,合肥230026

出　　处：《天文学报》2007年第4期500-506,共7页Acta Astronomica Sinica

基　　金：国家大科学工程和国家自然科学基金(10403009)资助项目

摘　　要：将均值漂移算法运用于LAMOST动态选星过程,用以寻找局部天区内观测目标密度最高的区域进行观测.通过模拟试验分析了在不同的天区覆盖方法对均值漂移算法观测效率的影响,并与使用最大密度算法得到的结果进行了比较,证实了均值漂移算法的优越性.ABSTRACT The large sky area multi-object fiber spectroscopic telescope （LAMOST） is one of the major nation scientific projects of China, The 4m large aperture, 5 degree field of view and 4000 fibers make LAMOST the most powerful optical spectrum survey telescope in the world. It is an important task to make good use of LAMOST, organize effective observation, improve observational efficiency and shorten observational cycle. For this sake, a new object selection algorithm named Dynamic-Object-Selection was put forward, which is based on the Priority-Policy. An important question in Dynamic-Object-Selection of LAMOST is to find a tile which has the maximum object density in the visible sky area. In this paper, Mean Shift Algorithm is applied to solve the problem. The simulations indicate that this algorithm is improving the Observation-Efficiency. At the same time, the speed of Dynamic-Object-Selection calculation is enhanced obviously.

关 键 词：天文仪器 方法与技术:望远镜 方法:数值 

分 类 号：P111[天文地球—天文学]