论文标题

H $α$ 16 Legus星系中星团的形态:HII区域进化时间标准的约束

H$α$ Morphologies of Star Clusters in 16 LEGUS Galaxies: Constraints on HII region evolution timescales

论文作者

Hannon, Stephen, Lee, Janice C., Whitmore, Bradley C., Mobasher, Bahram, Thilker, David, Chandar, Rupali, Adamo, Angela, Wofford, Aida, Orozco-Duarte, Rogelio, Calzetti, Daniela, Della Bruna, Lorenza, Kreckel, Kathryn, Groves, Brent, Barnes, Ashley T., Boquien, Mederic, Belfiore, Francesco, Linden, Sean

论文摘要

与其HII区域的形态相连的恒星簇年龄的分析可以洞悉清除簇的出生气体的过程,以及群集年龄的准确性和源自光谱能量分布(SED)配件的粉尘变红。我们使用Hubble空间望远镜(HST)成像,根据其H $α$形态(集中,部分暴露,无发射)在附近的16个星系中对3757星簇进行了分类。我们发现:1)浓度(1-2 MYR)和部分暴露的HII区域形态(2-3 MYR)的簇的平均SED年龄表明气体清除率相对较早发作和短(1-2 MYR)清除时间表。 2)由于存在红色超级巨人,因此簇的变红可以被高估,这是IMF在低质量簇中的随机采样的结果。 3)年龄降低的退化性会影响SED拟合的结果 - 在1408个簇中,M $ _*$ _*$ \ geq $ 5000 m $ _ $ _ {\ odot} $,我们发现至少有46(3%)的sed年龄显着低估了或基于H $ a $ a $ a $ a $ and的估计量,而总数却是多数元素,而量的范围则是五个元素,并且是总数的数量。 4)最后,我们研究形态分类对空间分辨率的依赖性。在HST分辨率下,我们的结论对样品(3-10 MPC)跨越的距离范围很强。但是,对基于地面的H $α$图像的分析表明,紧凑和部分暴露的形态经常无法彼此区分。

The analysis of star cluster ages in tandem with the morphology of their HII regions can provide insight into the processes that clear a cluster's natal gas, as well as the accuracy of cluster ages and dust reddening derived from Spectral Energy Distribution (SED) fitting. We classify 3757 star clusters in 16 nearby galaxies according to their H$α$ morphology (concentrated, partially exposed, no emission), using Hubble Space Telescope (HST) imaging from the Legacy ExtraGalactic Ultraviolet Survey (LEGUS). We find: 1) The mean SED ages of clusters with concentrated (1-2 Myr) and partially exposed HII region morphologies (2-3 Myr) indicate a relatively early onset of gas clearing and a short (1-2 Myr) clearing timescale. 2) The reddening of clusters can be overestimated due to the presence of red supergiants, which is a result of stochastic sampling of the IMF in low mass clusters. 3) The age-reddening degeneracy impacts the results of the SED fitting - out of 1408 clusters with M$_*$ $\geq$ 5000 M$_{\odot}$, we find that at least 46 (3%) have SED ages which appear significantly underestimated or overestimated based on H$α$ and their environment, while the total percentage of poor age estimates is expected to be several times larger. 4) Lastly, we examine the dependence of the morphological classifications on spatial resolution. At HST resolution, our conclusions are robust to the distance range spanned by the sample (3-10 Mpc). However, analysis of ground-based H$α$ images shows that compact and partially exposed morphologies frequently cannot be distinguished from each other.

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