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arXiv 2302.02750astro-ph.GAastro-ph.SR
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对近邻疏散星团分层结构的探测

A detection of the layered structure of nearby open clusters

Qingshun Hu, Yu Zhang, Ali Esamdin, Hong Wang, Mingfeng Qin

AI总结:

本研究应用玫瑰图叠加方法探测了88个近邻疏散星团的分层结构,发现74个存在分层结构,并首次定义了结构参数,揭示了核心区面积和核心不稳定指数与成员数量的强相关性。

摘要:

基于文献中的星表,我们在对其成员星进行距离修正后,应用新开发的玫瑰图叠加方法,在三个投影上探测了88个近邻疏散星团(≤500 pc)的分层结构。结果显示,通过玫瑰图叠加方法,样本中共有74个星团具有分层结构,其余星团则没有明显的分层结构。我们首次为样本星团定义了分层结构参数。同时,我们发现分层圆核心区面积(s)与星团成员数量呈强正相关,而核心不稳定指数(η)与星团成员数量呈强负相关。我们的研究为探测疏散星团的分层结构提供了一个新视角。

英文摘要:

We applied the newly developed rose diagram overlay method to detect the layered structure of 88 nearby open clusters ($\leq$500~pc) on the three projections after the distance correction of their member stars, based on the catalog in literature. The results show that with the rose diagram overlay method, a total of 74 clusters in our sample have a layered structure, while the remaining clusters are without a clear layered structure. We for the first time defined the layered structure parameters for the sample clusters. Meanwhile, we found that the layered circle core area ($s$) has a strong positive correlation with the number of cluster members, while the kernel instability index ($η$) has a strong negative correlation with the number of cluster members. Our study provides a novel perspective for the detection of the layered structure of open clusters.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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