论文标题

崩溃索引:一种基于ALMA图像识别恒星形成核心的新方法

Collapsing Index: A New Method to Identify Star-forming Cores Based on ALMA Images

论文作者

Yue, Nannan, Gao, Yang, Li, Di, Pan, Liubin

论文摘要

通过分子云核的重力塌陷形成恒星。在塌陷之前,核心由热压力和湍流运动支持。对于理解恒星形成至关重要的问题是如何观察到核心是否已经引发重力崩溃或仍处于静水平衡状态。鉴定引力崩溃的规范方法是基于观察到的密度径向轮廓,该密度径向谱图从Bonnor-Ebert类型变为核心崩溃。实际上,由于投影效应,分辨率限制和其他警告,很难直接揭示核心的动态状态,尤其是在大型恒星形成区域。我们在这里提出了一种新颖的,直接的诊断,即塌陷指数(CI),可以根据密度气体的线宽度的径向谱进行建模和计算。对CI的有意义的测量需要空间和频谱分辨的光学薄且化学稳定的致密气体示踪剂的图像。 Alma的观察结果使此类数据集越来越多地用于大规模的恒星形成区域。将我们的方法应用于有史以来最深的密集气光谱图像之一,即猎户座分子云,我们检测到其中选定的核心的动态状态。我们在观察到在巨大的恒星形成区域中区分了一个崩溃的核心与静水平症的区域。在恒星形成过程中,我们的方法将有助于显着提高我们对分子云核内重力与湍流之间相互作用的理解。

Stars form through the gravitational collapse of molecular cloud cores. Before collapsing, the cores are supported by thermal pressure and turbulent motions. A question of critical importance for the understanding of star formation is how to observationally discern whether a core has already initiated gravitational collapse or is still in hydrostatic balance. The canonical method to identify gravitational collapse is based on the observed density radial profile, which would change from a Bonnor-Ebert type toward power laws as the core collapses. In practice, due to the projection effect, the resolution limit, and other caveats, it has been difficult to directly reveal the dynamical status of cores, particularly in massive star-forming regions. We here propose a novel, straight-forward diagnostic, namely, the collapsing index (CI), which can be modeled and calculated based on the radial profile of the line width of dense gas. A meaningful measurement of CI requires spatially and spectrally resolved images of optically thin and chemically stable dense gas tracers. ALMA observations are making such data sets increasingly available for massive star-forming regions. Applying our method to one of the deepest dense-gas spectral images ever taken toward such a region, namely, the Orion molecular cloud, we detect the dynamical status of selected cores therein. We observationally distinguished a collapsing core in a massive star-forming region from a hydrostatical one. Our approach would help significantly improve our understanding of the interaction between gravity and turbulence within molecular cloud cores in the process of star formation.

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