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arXiv 2408.06986astro-ph.GAastro-ph.SR
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基于聚类层次算法的高纬尘埃云识别与距离测量

Identification and distance measurement of dust clouds at high latitude by a clustering hierarchical algorithm

Mingxu Sun, Biwei Jiang, Helong Guo, Wenyuan Cui

AI总结:

本研究基于Planck 857 GHz数据,用聚类层次算法识别315个高银纬尘埃云,推导190个云的距离等性质,证实远银心低消光分子云小尘埃占比更高,且距离明确的云可良好示踪本局部泡。

摘要:

我们基于Planck 857 GHz尘埃发射数据,构建了一份高银纬尘埃云星表。通过聚类层次算法,共识别出315个高银纬尘埃云。此外,利用Sun等人提供的分别对应400万颗和100万颗恒星的光学与紫外消光数据,我们推导了190个高银纬尘埃云的距离与物理性质,以及其中165个的紫外超红化率。通过对色超红化率的研究,本工作证实,银心距较大且消光较低的分子云可能拥有更高比例的小尺寸尘埃颗粒。另外,星表中距离明确的尘埃云被用于示踪本局部泡,与文献中给出的本局部泡边界表现出良好的一致性。

英文摘要:

We present a catalog of dust clouds at high Galactic latitude based on the Planck 857 GHz dust emission data. Using a clustering hierarchical algorithm, 315 dust cloud at high Galactic latitudes are identified. Additionally, using the optical and ultraviolet extinction of 4 million and 1 million stars, respectively, provided by Sun et al., we derive the distances and physical properties for 190 high Galactic latitude dust clouds and the ultraviolet excess ratios for 165 of them. Through the study of color excess ratios, this work confirms that molecular clouds with large Galactic distances and low extinction likely have a higher proportion of small-sized dust grains. In addition, clouds with well-defined distances in the catalog are used to trace the local bubble, showing good consistency with the boundary of the local bubble from the literature.

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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