Enhanced YSO population in Serpens

IF 1.1 4区 物理与天体物理 Q3 ASTRONOMY & ASTROPHYSICS
Priya Hasan, Mudasir Raja, Md. Saifuddin, S. N. Hasan
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引用次数: 0

Abstract

Serpens molecular cloud is one of the most active sites of ongoing star formation at a distance of about 300 pc, and hence, is very well-suited for studies of young low-mass stars and sub-stellar objects. In this paper, for the Serpens star-forming region, we found potential members of the Young Stellar Objects (YSOs) population from the Gaia DR3 data and study their kinematics and distribution. We compiled a catalog of 656 YSOs from available catalogs ranging from X-ray to the infrared. We use this as a reference set and cross-match it to find 87 Gaia DR3 member stars to produce a control sample with revised parameters. We queried the DR3 catalog with these parameters and found 1196 stars. We then applied three different density-based machine learning algorithms (DBSCAN, OPTICS and HDBSCAN) to this sample and found potential YSOs. The three clustering algorithms identified a common set of 822 YSO members from Gaia DR3 in this region. We also classified these objects using 2MASS and WISE data to study their distribution and the progress of star-formation in Serpens.

Abstract Image

蛇类中YSO数量的增加
蛇蛇分子云是正在进行的恒星形成最活跃的地点之一,距离大约300pc,因此,非常适合研究年轻的低质量恒星和亚恒星物体。在本文中,我们从盖亚DR3数据中发现了蛇形恒星形成区年轻恒星天体(YSOs)群的潜在成员,并研究了它们的运动学和分布。我们从现有的从x射线到红外线的目录中编制了656个yso的目录。我们将此作为参考集,并将其交叉匹配以找到87颗盖亚DR3成员星,从而产生具有修改参数的控制样本。我们用这些参数查询了DR3星表,发现了1196颗恒星。然后,我们对该样本应用了三种不同的基于密度的机器学习算法(DBSCAN、OPTICS和HDBSCAN),并找到了潜在的yso。三种聚类算法在该区域共识别出来自Gaia DR3的822个YSO成员。我们还利用2MASS和WISE数据对这些天体进行了分类,研究了它们在蛇蛇星系中的分布和恒星形成的进展。
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来源期刊
Journal of Astrophysics and Astronomy
Journal of Astrophysics and Astronomy 地学天文-天文与天体物理
CiteScore
1.80
自引率
9.10%
发文量
84
审稿时长
>12 weeks
期刊介绍: The journal publishes original research papers on all aspects of astrophysics and astronomy, including instrumentation, laboratory astrophysics, and cosmology. Critical reviews of topical fields are also published. Articles submitted as letters will be considered.
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