在大型多波段巡天中对银河星团的自动搜索：I。银河系反中心区15个新的疏散星团的发现
Automated search for galactic star clusters in large multiband surveys: I. Discovery of 15 new open clusters in the Galactic anticenter region
摘要：
目的：根据一些估计，银河系中有多达10万个疏散星团，但其中只有不到2000个被发现、测量和编目。我们计划对多波长巡天进行数据挖掘，以发现新的星团。研究方法：我们发展了一种基于密度函数卷积的自动搜索超大型星表中星团的新方法。我们已经将这种方法应用于银河系反中心的2微米全天巡天星表的一个子集。我们还开发了一种方法来验证检测到的恒星群是否是真正的星团，该方法测试形成空间密度峰值的恒星是否也落在颜色-星等图中的单一等时线上。通过拟合等时线的数据，我们估计在同一时间的一个集群的主要物理参数：年龄，距离，颜色过剩。结果如下：在本论文中，我们对银河系反中心附近$16\times16$度区域中探测到的88个高密度峰进行了详细分析。通过这次分析，15个高密度星系被确认为新的疏散星团，并确定了其中12个的物理和结构参数;其中10个星系先前被Kronberger（2006）和Froebrich（2007）怀疑是疏散星团。还确定了13个尚未研究的已知疏散星团的性质，从而几乎三倍的样本疏散星团与研究参数的反中心。用这种方法确定的参数显示出良好的协议与公布的数据为一组众所周知的集群。
英文摘要：
Aims: According to some estimations, there are as many as 100000 open clusters in the Galaxy, but less than 2000 of them have been discovered, measured, and cataloged. We plan to undertake data mining of multiwavelength surveys to find new star clusters. Methods: We have developed a new method to search automatically for star clusters in very large stellar catalogs, which is based on convolution with density functions. We have applied this method to a subset of the Two Micron All Sky Survey catalog toward the Galactic anticenter. We also developed a method to verify whether detected stellar groups are real star clusters, which tests whether the stars that form the spatial density peak also fall onto a single isochrone in the color-magnitude diagram. By fitting an isochrone to the data, we estimate at the same time the main physical parameters of a cluster: age, distance, color excess. Results: For the present paper, we carried out a detailed analysis of 88 overdensity peaks detected in a field of $16\times16$ degrees near the Galactic anticenter. From this analysis, 15 overdensities were confirmed to be new open clusters and the physical and structural parameters were determined for 12 of them; 10 of them were previously suspected to be open clusters by Kronberger (2006) and Froebrich (2007). The properties were also determined for 13 yet-unstudied known open clusters, thus almost tripling the sample of open clusters with studied parameters in the anticenter. The parameters determined with this method showed a good agreement with published data for a set of well-known clusters.
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