论文标题
以银河系的方式揭示隐藏的恒星聚集体:1656年在Gaia Edr3中发现的新明星簇
Unveiling hidden stellar aggregates in the Milky Way: 1656 new star clusters found in Gaia EDR3
论文作者
论文摘要
我们使用GAIA EDR3数据报告了超过1.2 kpc的银河磁盘(| b | <20度)中发现的1,656个新的星团。基于无监督的机器学习算法,DBSCAN,并遵循了我们先前的研究,我们利用了一种独特的方法来进行数据准备并获得了聚类系数,这被证明是盲目搜索星团的有效方法。我们将新簇的物理参数和成员明星制成表格,并提出了一些有趣的例子,包括球状群集候选者。群集参数和成员星可通过匿名FTP在https://cdsarc.cds.unistra.fr/ftp/ftp/vizier.submit//he22c中获得。我们检查了新发现并讨论了它们的统计特性。新簇的适当运动分散和半径与先前报道的簇相同。超过1.2 kpc的新恒星群比太阳能社区的群体年龄大,而在第三个银河象限中发现的新物体呈现出最低的灭绝线。结合我们以前的结果,通过我们的方法检测到的新簇的总人数为2,541,对应于盖亚时代所有新出版的群集的55%。编目的Gaia Star簇的数量也增加到近六千。在不久的将来,有必要对所有报告的簇进行统一的确认并确定成员明星。
We report 1,656 new star clusters found in the Galactic disk (|b|<20 degrees) beyond 1.2 kpc, using Gaia EDR3 data. Based on an unsupervised machine learning algorithm, DBSCAN, and followed our previous studies, we utilized a unique method to do the data preparation and obtained the clustering coefficients, which proved to be an effective way to search blindly for star clusters. We tabulated the physical parameters and member stars of the new clusters, and presented some interesting examples, including a globular cluster candidate. The cluster parameters and member stars are available at CDS via anonymous ftp to https://cdsarc.cds.unistra.fr/ftp/vizier.submit//he22c. We examined the new discoveries and discussed their statistical properties. The proper motion dispersions and radii of the new clusters were the same as the previously reported ones. The new star clusters beyond 1.2 kpc were older than those in the solar neighborhood, and the new objects found in the third Galactic quadrant presented the lowest line-of-sight extinctions. Combined with our previous results, the total population of new clusters detected through our method was 2,541, corresponding to 55% of all newly published clusters in the Gaia era. The number of cataloged Gaia star clusters was also increased to nearly six thousand. In the near future, it is necessary to make a unified confirmation and member star determination for all reported clusters.