BSEC Method for Unveiling Open Clusters and its Application to Gaia DR3: 83 New Clusters

IF 1.8 4区 物理与天体物理 Q3 ASTRONOMY & ASTROPHYSICS Research in Astronomy and Astrophysics Pub Date : 2024-05-12 DOI:10.1088/1674-4527/ad3a2b
Zhong-Mu Li and Cai-Yan Mao
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Abstract

Open clusters (OCs) are common in the Milky Way, but most of them remain undiscovered. There are numerous techniques, including some machine-learning algorithms, available for the exploration of OCs. However, each method has its limitations and therefore, different approaches to discovering OCs hold significant values. We develop a comprehensive approach method to automatically explore the data space and identify potential OC candidates with relatively reliable membership determination. This approach combines the techniques of Hierarchical Density-Based Spatial Clustering of Applications with Noise, Gaussian mixture model, and a novel cluster member identification technique, color excess constraint. The new method exhibits efficiency in detecting OCs while ensuring precise determination of cluster memberships. Because the main feature of this technique is to add an extra constraint (EC) for the members of cluster candidates using the homogeneity of color excess, compared to typical blind search codes, it is called Blind Search-Extra Constraint (BSEC) method. It is successfully applied to the Gaia Data Release 3, and 83 new OCs are found, whose color–magnitude diagrams (CMDs) are fitted well to the isochrones. In addition, this study reports 621 new OC candidates with discernible main sequence or red giant branch. It is shown that BSEC technique can discard some false negatives of previous works, which takes about three percentage of known clusters. It shows that as an EC, the color excess (or two-color) constraint is useful for removing fake cluster member stars from the clusters that are identified from the positions and proper motions of stars, and getting more precise CMDs, when differential reddening of member stars of a cluster is not large (e.g., ΔE(GBP − GRP) < 0.5 mag). It makes the CMDs of 15% clusters clearer (in particular for the region near turnoff) and therefore is helpful for CMD and stellar population studies. Our result suggests that the color excess constraint is more appropriate for clusters with small differential reddening, such as globular clusters or older OCs, and clusters that the distances of member stars cannot be determined accurately.
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揭示开放星团的 BSEC 方法及其在 Gaia DR3 中的应用:83 个新星团
疏散星团(OC)在银河系中很常见,但其中大多数仍未被发现。目前有许多技术,包括一些机器学习算法,可用于探索开放星团。然而,每种方法都有其局限性,因此,不同的发现 OCs 的方法具有重要价值。我们开发了一种综合方法来自动探索数据空间,并通过相对可靠的成员确定来识别潜在的 OC 候选者。这种方法结合了基于层次密度的带噪声应用空间聚类技术、高斯混合物模型和一种新的聚类成员识别技术--颜色过度约束。新方法既能高效地检测出 OC,又能确保精确地确定聚类成员。由于该技术的主要特点是利用颜色过度的同质性为候选聚类成员添加额外约束(EC),因此与典型的盲搜索代码相比,它被称为盲搜索-额外约束(BSEC)方法。该方法被成功应用于 Gaia Data Release 3,发现了 83 个新的 OC,其色度-星等图(CMD)与等时线拟合良好。此外,这项研究还报告了 621 个具有可辨认主序或红巨星分支的新 OC 候选者。结果表明,BSEC 技术可以摒弃以往工作中的一些假阴性结果,这些假阴性结果约占已知星团的 3%。研究表明,作为一种EC,当星团中成员星的红度差值不大(例如ΔE(GBP - GRP) < 0.5 mag)时,颜色过量(或双色)约束有助于从根据恒星位置和正确运动识别出的星团中剔除虚假的星团成员星,并得到更精确的CMD。这使得15%星团的CMD更加清晰(尤其是在靠近拐点的区域),因此对CMD和恒星群研究很有帮助。我们的研究结果表明,颜色过量约束更适用于红变差较小的星团,如球状星团或较老的OC,以及无法准确测定成员星距离的星团。
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来源期刊
Research in Astronomy and Astrophysics
Research in Astronomy and Astrophysics 地学天文-天文与天体物理
CiteScore
3.20
自引率
16.70%
发文量
2599
审稿时长
6.0 months
期刊介绍: Research in Astronomy and Astrophysics (RAA) is an international journal publishing original research papers and reviews across all branches of astronomy and astrophysics, with a particular interest in the following topics: -large-scale structure of universe formation and evolution of galaxies- high-energy and cataclysmic processes in astrophysics- formation and evolution of stars- astrogeodynamics- solar magnetic activity and heliogeospace environments- dynamics of celestial bodies in the solar system and artificial bodies- space observation and exploration- new astronomical techniques and methods
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