论文标题
嵌入式簇：使用Gaia DR2和Asteca升级视觉和红外光度分析
Embedded clusters: upgrading visual and infrared photometric analysis with Gaia DR2 and ASteCA
论文作者
论文摘要
嵌入式集群是尚未分散的恒星群，它们出生时尚未分散，因此获得这些群体的精确距离和特性，这是必不可少的任务。我们提出了五个嵌入式簇的结果：[DBS2003] 5，[DBS2003] 60，[DBS2003] 98，[DBS2003] 116和[DBS2003] 117。结果来自深层CCD UBVI光度法的组合，适合鉴定可用调查中的蓝色淡淡的恒星和红外信息。反过来，光度法与GAIA DR2的适当运动和视差相关。每个对象都使用ASTECA在多空间中处理，该代码旨在执行自动数据分析，并旨在提供恒星组的基本参数，以防它们构成真实实体。
Embedded clusters are groups of stars which have not dispersed yet the residual of the parental cloud where they were born so getting precise distances and properties of these groups turns out to be an essential task. We present results for five embedded clusters: [DBS2003]5, [DBS2003]60, [DBS2003]98, [DBS2003]116 and [DBS2003]117. Results come from a combination of deep CCD UBVI photometry suitable to identify blue faint stars and infrared information from available surveys. In turn photometry was linked with proper motions and parallaxes from Gaia DR2. Each object was treated in a multi-space using ASteCA, a code especially designed to perform an automatic data analysis and aimed at providing the fundamental parameters of star groups, in case they compose a real entity.
