arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1902.07600astro-ph.EPastro-ph.GAastro-ph.SR
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来自盖亚DR2的$ρ$ Oph候选成员的普查

A census of $ρ$ Oph candidate members from Gaia DR2

H. Cánovas, C. Cantero, L. Cieza, A. Bombrun, U. Lammers, B. Merín, A. Mora, Á. Ribas, D. Ruíz-Rodríguez

摘要:

蛇夫座星云复合体是研究恒星和原行星盘演化早期阶段的最佳实验室之一。盖亚数据发布2中包含的大量精确的天体测量数据可以用来更新蛇夫座成员候选人的普查。我们试图找到潜在的蛇夫座的新成员,并确定那些被环绕的圆盘。我们构建了一个控制样本组成的188个真正的蛇夫座成员。以该样本为参考,我们将三种不同的基于密度的机器学习聚类算法(DBSCAN,OPTICS和HDBSCAN)应用于以蛇夫座云为中心的盖亚目录中的样本。在三维笛卡尔空间定义的五个天体测量维度和自行在赤经和赤经上进行聚类分析。这三个聚类算法系统地确定一组类似的候选成员在一个主集群与天体测量性质与控制样本一致。OPTICS和HDBSCAN算法灵活性的增加使这些方法能够识别辅助集群。我们构建了一个共同的样本,包含391个成员候选人,其中包括166个新的对象,尚未在文献中讨论。通过将盖亚数据与2MASS和WISE测光相结合,我们为48个对象的子集建立了从0.5到$22\microm$的光谱能量分布,共发现了41个圆盘,包括11个II类和1个III类新圆盘。基于密度的聚类算法是一种很有前途的工具,以确定候选成员的恒星形成区在大型天体测量数据库。如果得到确认,在这项工作中讨论的候选成员将代表目前蛇夫座人口普查的大约40%的增量。

英文摘要:

The Ophiuchus cloud complex is one of the best laboratories to study the earlier stages of the stellar and protoplanetary disc evolution. The wealth of accurate astrometric measurements contained in the Gaia Data Release 2 can be used to update the census of Ophiuchus member candidates. We seek to find potential new members of Ophiuchus and identify those surrounded by a circumstellar disc. We constructed a control sample composed of 188 bona fide Ophiuchus members. Using this sample as a reference we applied three different density-based machine learning clustering algorithms (DBSCAN, OPTICS, and HDBSCAN) to a sample drawn from the Gaia catalogue centred on the Ophiuchus cloud. The clustering analysis was applied in the five astrometric dimensions defined by the three-dimensional Cartesian space and the proper motions in right ascension and declination. The three clustering algorithms systematically identify a similar set of candidate members in a main cluster with astrometric properties consistent with those of the control sample. The increased flexibility of the OPTICS and HDBSCAN algorithms enable these methods to identify a secondary cluster. We constructed a common sample containing 391 member candidates including 166 new objects, which have not yet been discussed in the literature. By combining the Gaia data with 2MASS and WISE photometry, we built the spectral energy distributions from 0.5 to $22\microm$ for a subset of 48 objects and found a total of 41 discs, including 11 Class II and 1 Class III new discs. Density-based clustering algorithms are a promising tool to identify candidate members of star forming regions in large astrometric databases. If confirmed, the candidate members discussed in this work would represent an increment of roughly 40% of the current census of Ophiuchus.

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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