基于DBSCAN聚类算法的毕星团成员星辨认
Identification of the Members of the Hyades Star Cluster Based on DBSCAN Clustering Algorithm
徐颖 1吴凌燕 1康婷 1廖涛 1赖菁波1
作者信息
- 1. 赣南科技学院,江西 赣州 341000
- 折叠
摘要
疏散星团[1]在天文学和天文物理学的研究中至关重要,对其成员星的正确判断是所有研究工作的基础.成员星识别的可靠性随着天体测量技术的不断发展,而变得愈发重要.本文运用DBSCAN聚类算法,实现毕星团成员星认定问题的分析与研究.通过色指数与温度公式求出各个侯选星成员星的温度.以绝对星等为纵坐标,将其成员星的赫罗图作为恒星表面温度的横坐标,对筛选出的毕星团成员星体绘制了一幅赫罗图.
Abstract
Open clusters are very important in the study of astronomy and astrophysics,and the correct judg-ment of their member stars is the basis of all research work.With the continuous development of astrometric tech-nology,the reliability of member star identification is becoming more and more important.This paper analyzes and studies the identification of the member stars of the Hyde star cluster.The H-R diagrams of the members of the Hyde star cluster are drawn with the absolute magnitude as the ordinate and the stellar surface temperature as the abscissa for the selected members of the Hyde star cluster.The temperature of each candidate star member star is calculated by the color index and temperature formula.And the advantages and disadvantages of the model are ana-lyzed.
关键词
DBSCAN聚类算法/毕星团/赫罗图/量化分析Key words
Density-Based Spatial Clustering of Applications with Noise/Hyades/Hertzsprung-Russell dia-gram/quantitative analysis引用本文复制引用
基金项目
江西省教育厅科学技术研究项目(GJJ218503)
江西省高等学校大学生创新创业训练计划(S202213434007)
出版年
2024
NETL
NSTL
维普
万方数据