Simulating the dynamics of auroral phenomena
Simulating the dynamics of auroral phenomena
复制标题
模拟极光现象的动力学
DOI：
10.1145/1037957.1037960
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
Ian E. Bell
中科院分区：
文献类型：
--
作者：
G. Baranoski;J. Wan;J. Rokne;Ian E. Bell
自然现象的模拟一直是计算机图形学研究的重点。它的重要性不仅仅是制作有吸引力的演示文稿，因为这一领域的研究有助于对复杂自然过程的科学理解。自然现象，称为北极光和南极光，是具有令人印象深刻的视觉特征和显著的科学兴趣的地磁现象。极光呈现出一种复杂的行为，它源于等离子体（由离子、电子和中性原子组成的热电离气体）与地球电磁场之间的相互作用。以前的工作对极光现象的视觉模拟集中在静态物理模型的形状，从原语建模，如正弦波。在这篇文章中，我们专注于极光的动态行为，我们提出了一个基于物理的模型来执行3D视觉模拟。该模型考虑了与等离子体流动直接相关的物理参数和过程，可以扩展到模拟其他等离子体现象以及天体物理现象的动力学。与这些过程相关的偏微分方程求解使用一个完整的多重网格实现的电磁相互作用，导致模拟的形状和运动的极光显示器。为了说明我们的模型的适用性，我们提供了使用分布式前向映射方法呈现的模拟序列。
Simulating natural phenomena has always been a focal point for computer graphics research. Its importance goes beyond the production of appealing presentations, since research in this area can contribute to the scientific understanding of complex natural processes. The natural phenomena, known as the Aurora Borealis and Aurora Australis, are geomagnetic phenomena of impressive visual characteristics and remarkable scientific interest. Aurorae present a complex behavior that arises from interactions between plasma (hot, ionized gases composed of ions, electrons, and neutral atoms) and Earth's electromagnetic fields. Previous work on the visual simulation of auroral phenomena have focused on static physical models of their shape, modeled from primitives, like sine waves. In this article, we focus on the dynamic behavior of the aurora, and we present a physically-based model to perform 3D visual simulations. The model takes into account the physical parameters and processes directly associated with plasma flow, and can be extended to simulate the dynamics of other plasma phenomena as well as astrophysical phenomena. The partial differential equations associated with these processes are solved using a complete multigrid implementation of the electromagnetic interactions, leading to a simulation of the shape and motion of the auroral displays. In order to illustrate the applicability of our model, we provide simulation sequences rendered using a distributed forward mapping approach.