马格里特,光谱线辐射传递现代软件库

IF 1.9 4区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS
T. Ceulemans , F. De Ceuster , L. Decin , J. Yates
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引用次数: 0

摘要

光谱线观测是远程探测整个宇宙的物理和化学条件不可或缺的工具。对其行为建模是一项计算挑战,需要专用软件。在本文中,我们介绍了 Magritte 的第一个长期稳定版本,这是一个用于谱线辐射传递的开源软件库。首先,我们通过两个应用来确定其必要性。然后,我们介绍了总体设计策略和应用程序/程序员接口(API)。最后,我们介绍了与之前版本相比的三项主要改进:(1)改进的重新网格划分算法,可有效粗化模型的空间离散度;(2)Ng-acceleration 的变体,这是一种用于非 LTE 线传输的流行收敛加速方法;以及(3)在存在较大速度梯度的情况下,线光学深度的半解析近似值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Magritte, a modern software library for spectral line radiative transfer
Spectral line observations are an indispensable tool to remotely probe the physical and chemical conditions throughout the universe. Modelling their behaviour is a computational challenge that requires dedicated software. In this paper, we present the first long-term stable release of Magritte, an open-source software library for line radiative transfer. First, we establish its necessity with two applications. Then, we introduce the overall design strategy and the application/programmer interface (API). Finally, we present three key improvements over previous versions: (1) an improved re-meshing algorithm to efficiently coarsen the spatial discretisation of a model; (2) a variation on Ng-acceleration, a popular acceleration-of-convergence method for non-LTE line transfer; and, (3) a semi-analytic approximation for line optical depths in the presence of large velocity gradients.
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来源期刊
Astronomy and Computing
Astronomy and Computing ASTRONOMY & ASTROPHYSICSCOMPUTER SCIENCE,-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.10
自引率
8.00%
发文量
67
期刊介绍: Astronomy and Computing is a peer-reviewed journal that focuses on the broad area between astronomy, computer science and information technology. The journal aims to publish the work of scientists and (software) engineers in all aspects of astronomical computing, including the collection, analysis, reduction, visualisation, preservation and dissemination of data, and the development of astronomical software and simulations. The journal covers applications for academic computer science techniques to astronomy, as well as novel applications of information technologies within astronomy.
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