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arXiv 1606.01229astro-ph.GA
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一个详细的框架,将灰尘纳入流体动力学模拟

A detailed framework to incorporate dust in hydrodynamical simulations

T. Grassi, S. Bovino, T. Haugboelle, D. R. G. Schleicher

摘要:

尘埃在ISM的演变中起着关键作用,因此在数值模拟中正确建模是至关重要的。我们提出了一个新的和自洽的模型,处理晶粒热耦合与气体,辐射平衡,和分子氢的表面化学。这种方法可以应用于任何尘埃分布与任意数量的颗粒类型,而不影响整体的计算成本。在本文中,我们详细描述了我们的方法背后的物理和算法,为了测试方法,我们提出了一些天体物理学感兴趣的例子,即(i)一个完整的气体化学和热化学过程的单区坍塌,(ii)从宇宙学初始条件开始的微晕低金属量坍塌的3D模型,和(iii)湍流分子云与H-C-O化学(277个反应),连同自洽冷却和加热解决的飞行。虽然这些例子采用公开可用的代码KROME,我们的方法可以很容易地集成到任何计算框架。

英文摘要:

Dust plays a key role in the evolution of the ISM and its correct modelling in numerical simulations is therefore fundamental. We present a new and self-consistent model that treats grain thermal coupling with the gas, radiation balance, and surface chemistry for molecular hydrogen. This method can be applied to any dust distribution with an arbitrary number of grain types without affecting the overall computational cost. In this paper we describe in detail the physics and the algorithm behind our approach, and in order to test the methodology, we present some examples of astrophysical interest, namely (i) a one-zone collapse with complete gas chemistry and thermochemical processes, (ii) a 3D model of a low-metallicity collapse of a minihalo starting from cosmological initial conditions, and (iii) a turbulent molecular cloud with H-C-O chemistry (277 reactions), together with self-consistent cooling and heating solved on the fly. Although these examples employ the publicly available code KROME, our approach can be easily integrated into any computational framework.

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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