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A fast tree-based method for estimating column densities in adaptive mesh refinement codes - Influence of UV radiation field on the structure of molecular clouds

机译:一种基于树的快速估计自适应网格细化代码列密度的方法-紫外线辐射场对分子云结构的影响

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Context. Ultraviolet radiation plays a crucial role in molecular clouds. Radiation and matter are tightly coupled and their interplay influences the physical and chemical properties of gas. In particular, modeling the radiation propagation requires calculating column densities, which can be numerically expensive in high-resolution multidimensional simulations. Aims. Developing fast methods for estimating column densities is mandatory if we are interested in the dynamical influence of the radiative transfer. In particular, we focus on the effect of the UV screening on the dynamics and on the statistical properties of molecular clouds. Methods. We have developed a tree-based method for a fast estimate of column densities, implemented in the adaptive mesh refinement code RAMSES. We performed numerical simulations using this method in order to analyze the influence of the screening on the clump formation. Results. We find that the accuracy for the extinction of the tree-based method is better than 10%, while the relative error for the column density can be much more. We describe the implementation of a method based on precalculating the geometrical terms that noticeably reduces the calculation time. To study the influence of the screening on the statistical properties of molecular clouds we present the probability distribution function of gas and the associated temperature per density bin and the mass spectra for different density thresholds. Conclusions. The tree-based method is fast and accurate enough to be used during numerical simulations since no communication is needed between CPUs when using a fully threaded tree. It is then suitable to parallel computing. We show that the screening for far UV radiation mainly affects the dense gas, thereby favoring low temperatures and affecting the fragmentation. We show that when we include the screening, more structures are formed with higher densities in comparison to the case that does not include this effect. We interpret this as the result of the shielding effect of dust, which protects the interiors of clumps from the incoming radiation, thus diminishing the temperature and changing locally the Jeans mass.
机译:上下文。紫外线在分子云中起着至关重要的作用。辐射和物质紧密耦合,它们的相互作用影响气体的物理和化学性质。特别地,对辐射传播进行建模需要计算列密度,这在高分辨率多维模拟中可能在数值上昂贵。目的如果我们对辐射传输的动力学影响感兴趣,则必须开发快速的方法来估算柱密度。尤其是,我们专注于UV筛选对分子云动力学和统计特性的影响。方法。我们已经开发了一种基于树的方法来快速估计列密度,并在自适应网格细化代码RAMSES中实现。为了分析筛分对团块形成的影响,我们使用这种方法进行了数值模拟。结果。我们发现,基于树的方法的消光精度优于10%,而色谱柱密度的相对误差可能更大。我们介绍了一种基于预先计算几何项的方法的实现,该方法显着减少了计算时间。为了研究筛选对分子云统计特性的影响,我们介绍了气体的概率分布函数以及每个密度仓的相关温度以及不同密度阈值的质谱。结论。基于树的方法足够快速,准确,可以在数值模拟中使用,因为使用全线程树时,CPU之间不需要通信。然后,它适用于并行计算。我们表明,远紫外线辐射的筛选主要影响稠密气体,从而有利于低温并影响碎片。我们表明,当我们包括筛选时,与不包含这种效果的情况相比,会形成更多具有更高密度的结构。我们将其解释为灰尘的屏蔽效果的结果,该效果可保护团块内部免受入射辐射的影响,从而降低温度并局部改变Jeans的质量。

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