| Issue |
A&A
Volume 672, April 2023
|
|
|---|---|---|
| Article Number | A12 | |
| Number of page(s) | 12 | |
| Section | Galactic structure, stellar clusters and populations | |
| DOI | https://doi.org/10.1051/0004-6361/202244199 | |
| Published online | 23 March 2023 | |
A detection of the layered structure of nearby open clusters
1
Xinjiang Astronomical Observatory, Chinese Academy of Sciences, No. 150, Science 1 Street, Urumqi, Xinjiang 830011, PR China
e-mail: zhy@xao.ac.cn; aliyi@xao.ac.cn
2
University of Chinese Academy of Sciences, 19 Yuquan Road, Shijingshan District, Beijing 100049, PR China
Received:
7
June
2022
Accepted:
30
January
2023
We applied the newly developed rose diagram overlay method to detect the layered structure of 88 nearby open clusters (≤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.
Key words: methods: statistical / open clusters and associations: general / galaxies: stellar content
© The Authors 2023
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article is published in open access under the Subscribe to Open model. Subscribe to A&A to support open access publication.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.