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首页> 外文期刊>The Astrophysical journal >GIANT MOLECULAR CLOUD FORMATION IN DISK GALAXIES: CHARACTERIZING SIMULATED VERSUS OBSERVED CLOUD CATALOGS
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GIANT MOLECULAR CLOUD FORMATION IN DISK GALAXIES: CHARACTERIZING SIMULATED VERSUS OBSERVED CLOUD CATALOGS

机译:磁盘星系中的巨大分子云形成:表征模拟的相对于观察到的云目录

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We present the results of a study of simulated giant molecular clouds (GMCs) formed in a Milky Way-type galactic disk with a flat rotation curve. This simulation, which does not include star formation or feedback, produces clouds with masses ranging between 104 M ☉ and 107 M ☉. We compare our simulated cloud population to two observational surveys: the Boston University-Five College Radio Astronomy Observatory Galactic Ring Survey and the BIMA All-Disk Survey of M33. An analysis of the global cloud properties as well as a comparison of Larson's scaling relations is carried out. We find that simulated cloud properties agree well with the observed cloud properties, with the closest agreement occurring between the clouds at comparable resolution in M33. Our clouds are highly filamentary—a property that derives both from their formation due to gravitational instability in the sheared galactic environment, as well as to cloud-cloud gravitational encounters. We also find that the rate at which potentially star-forming gas accumulates within dense regions—wherein n thresh ≥ 104?cm–3—is 3% per 10?Myr, in clouds of roughly 106 M ☉. This suggests that star formation rates in observed clouds are related to the rates at which gas can be accumulated into dense subregions within GMCs via filamentary flows. The most internally well-resolved clouds are chosen for listing in a catalog of simulated GMCs—the first of its kind. The cataloged clouds are available as an extracted data set from the global simulation.
机译:我们介绍了模拟的巨型分子云(GMC)在银河系银河星盘中形成的具有平坦旋转曲线的研究结果。该模拟不包括恒星的形成或反馈,它产生的质量在104 M☉和107 M between之间的云。我们将模拟的云人口与两个观测调查进行比较:波士顿大学五学院射电天文台银河系环调查和BIMA M33全盘调查。进行了全球云属性的分析以及拉森比例关系的比较。我们发现,模拟的云特性与观察到的云特性非常吻合,在M33中具有可比分辨率的云之间发生了最接近的一致。我们的云层是高度丝状的-这种特性既来自于剪切银河环境中的重力不稳定性,也归因于云-云的重力相遇。我们还发现,在密度约为106 M clouds的云中,密集区域(n thresh≥104?cm–3)内潜在的恒星形成气体的蓄积速率为每10?Myr 3%。这表明观测到的云中的恒星形成速率与气体可以通过丝状流聚集到GMC中密集的子区域的速率有关。选择了内部解析度最高的云,以将其列在模拟GMC的目录中,这是同类中的第一个。编录的云可作为从全局模拟中提取的数据集使用。

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