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arXiv 2403.00512astro-ph.GAastro-ph.SR
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星际介质模拟中跨空间尺度的云性质

Cloud properties across spatial scales in simulations of the interstellar medium

Tine Colman, Noé Brucy, Philipp Girichidis, Simon C. O Glover, Milena Benedettini, Juan D. Soler, Robin G. Tress, Alessio Traficante, Patrick Hennebelle, Ralf S… 展开作者

Tine Colman, Noé Brucy, Philipp Girichidis, Simon C. O Glover, Milena Benedettini, Juan D. Soler, Robin G. Tress, Alessio Traficante, Patrick Hennebelle, Ralf S. Klessen, Sergio Molinari, Marc-Antoine Miville-Deschênes

AI总结:

本文利用 Hop 算法从多种星际介质模拟中提取分子云,发现尽管尺度与分辨率差异很大,云的质量谱、速度弥散和维里参数仍呈现稳健的标度关系,并与观测和理论基本一致。

摘要:

分子云(MC)是星际介质(ISM)中的致密气体结构,其尺度从十秒差距延伸至数百秒差距,构成了恒星形成可用的主要气体储库。不同复杂程度的流体动力学模拟是研究分子云演化及其性质的一种有前景的途径。然而,每个模拟通常在分辨率范围上有限,并且使用不同的云提取算法,这使得模拟之间的比较变得复杂。在本工作中,我们旨在从覆盖广泛空间尺度的不同模拟中提取云,并比较它们的性质,例如大小、形状、质量、内部速度弥散和维里状态。我们将 Hop 云检测算法应用于分层 ISM 盒子的(磁)流体动力学数值模拟以及使用 Flash、Ramses 和 Arepo 生成的孤立星系盘模拟。我们发现,在所有设置中,提取出的云在形状上都很复杂,从圆形天体到复杂的丝状网络不等。尽管尺度、分辨率和亚网格物理存在广泛差异,我们在所研究的度量指标中观察到了令人惊讶的稳健趋势。在模拟之间的重叠区域,质量谱无需重新标定即可匹配,并且具有与理论预测一致的高质量端斜率 $\mathrm{d} N/\mathrm{d}\ln M\propto-1$。对于大云($R\gtrsim3\\,\mathrm{pc}$),内部速度弥散随云的大小按 $σ\propto R^{0.75}$ 标度。对于小云,我们发现与幂律标度相比 σ 更大,这与观测中所见一致,其原因是超新星驱动的湍流。几乎所有云在引力上都是非束缚的,维里参数按 $α_\mathrm{vir}\propto M^{-0.4}$ 标度,这比观测到的标度略平,但考虑到较大的弥散,仍与观测一致。

英文摘要:

Molecular clouds (MC) are structures of dense gas in the interstellar medium (ISM), that extend from ten to a few hundred parsecs and form the main gas reservoir available for star formation. Hydrodynamical simulations of varying complexity are a promising way to investigate MC evolution and their properties. However, each simulation typically has a limited range in resolution and different cloud extraction algorithms are used, which complicates the comparison between simulations. In this work, we aim to extract clouds from different simulations covering a wide range of spatial scales. We compare their properties, such as size, shape, mass, internal velocity dispersion and virial state. We apply the Hop cloud detection algorithm on (M)HD numerical simulations of stratified ISM boxes and isolated galactic disk simulations that were produced using Flash Ramses and Arepo We find that the extracted clouds are complex in shape ranging from round objects to complex filamentary networks in all setups. Despite the wide range of scales, resolution, and sub-grid physics, we observe surprisingly robust trends in the investigated metrics. The mass spectrum matches in the overlap between simulations without rescaling and with a high-mass slope of $\mathrm{d} N/\mathrm{d}\ln M\propto-1$ in accordance with theoretical predictions. The internal velocity dispersion scales with the size of the cloud as $σ\propto R^{0.75}$ for large clouds ($R\gtrsim3\,\mathrm{pc}$). For small clouds we find larger sigma compared to the power-law scaling, as seen in observations, which is due to supernova-driven turbulence. Almost all clouds are gravitationally unbound with the virial parameter scaling as $α_\mathrm{vir}\propto M^{-0.4}$, which is slightly flatter compared to observed scaling, but in agreement given the large scatter.

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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