论文标题

分子云种群在其宿主星系环境的背景下:多波长透视

Molecular Cloud Populations in the Context of Their Host Galaxy Environments: A Multiwavelength Perspective

论文作者

Sun, Jiayi, Leroy, Adam K., Rosolowsky, Erik, Hughes, Annie, Schinnerer, Eva, Schruba, Andreas, Koch, Eric W., Blanc, Guillermo A., Chiang, I-Da, Groves, Brent, Liu, Daizhong, Meidt, Sharon, Pan, Hsi-An, Pety, Jerome, Querejeta, Miguel, Saito, Toshiki, Sandstrom, Karin, Sardone, Amy, Usero, Antonio, Utomo, Dyas, Williams, Thomas G., Barnes, Ashley T., Benincasa, Samantha M., Bigiel, Frank, Bolatto, Alberto D., Boquien, Mederic, Chevance, Melanie, Dale, Daniel A., Deger, Sinan, Emsellem, Eric, Glover, Simon C. O., Grasha, Kathryn, Henshaw, Jonathan D., Klessen, Ralf S., Kreckel, Kathryn, Kruijssen, J. M. Diederik, Ostriker, Eve C., Thilker, David A.

论文摘要

我们提出了围绕Phangs-Alma Co $ \,$(2-1)调查和辅助数据构建的丰富的,多波长的多尺度数据库。我们使用该数据库介绍80个phangs星系中分子云种群和亚半乳酸环境的分布,以表征人群平均云特性和宿主星系性能之间的关系,并评估与分子云进化和恒星形成相关的关键时间表。我们表明,phangs探测了广泛的KPC尺度气体,恒星和恒星形成速率(SFR)表面密度以及轨道速度和剪切。每个孔径中人口平均的云特性与局部环境特性和宿主星系全球特性都密切相关。利用可变选择分析,我们发现分子气和SFR的KPC规模表面密度往往具有人口平均云特性的最预测能力。一旦控制了它们的变化,Galaxy Global属性几乎没有其他信息,这意味着云种群中明显的星系到半趋化变化很可能是由KPC规模的环境条件介导的。我们进一步估算了来自多波长度测量值的重要时间尺度。云规模的自由下落时间和湍流交叉时间为$ {\ sim} 5 { - } 20 $ myr,与以前的云寿命估计相当。轨道运动,剪切和云云碰撞的时间尺度更长,$ {\ sim} 100 $ myr。分子气体耗竭时间为$ 1 { - } 3 $ gyr,并且与我们的数据中的其他时间标准无关。我们在线发布我们的测量结果,并期望它们对分子云和星形形成的未来研究具有广泛的实用性。

We present a rich, multiwavelength, multiscale database built around the PHANGS-ALMA CO$\,$(2-1) survey and ancillary data. We use this database to present the distributions of molecular cloud populations and sub-galactic environments in 80 PHANGS galaxies, to characterize the relationship between population-averaged cloud properties and host galaxy properties, and to assess key timescales relevant to molecular cloud evolution and star formation. We show that PHANGS probes a wide range of kpc-scale gas, stellar, and star formation rate (SFR) surface densities, as well as orbital velocities and shear. The population-averaged cloud properties in each aperture correlate strongly with both local environmental properties and host galaxy global properties. Leveraging a variable selection analysis, we find that the kpc-scale surface densities of molecular gas and SFR tend to possess the most predictive power for the population-averaged cloud properties. Once their variations are controlled for, galaxy global properties contain little additional information, which implies that the apparent galaxy-to-galaxy variations in cloud populations are likely mediated by kpc-scale environmental conditions. We further estimate a suite of important timescales from our multiwavelength measurements. The cloud-scale free-fall time and turbulence crossing time are ${\sim}5{-}20$ Myr, comparable to previous cloud lifetime estimates. The timescales for orbital motion, shearing, and cloud-cloud collisions are longer, ${\sim}100$ Myr. The molecular gas depletion time is $1{-}3$ Gyr and shows weak to no correlations with the other timescales in our data. We publish our measurements online and expect them to have broad utility to future studies of molecular clouds and star formation.

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