渲染宇宙中的第一颗恒星-一个案例研究

Ralf Kähler, D. Cox, Robert Patterson, Stuart Levy, H. Hege, T. Abel
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引用次数: 26

摘要

对于同时发生在非常不同的空间和时间尺度上的现象的定量检查,需要自适应的分层方案。一种特殊的数字多层技术,与特定的分层数据结构相关联,被称为自适应网格细化(AMR)。它允许人们跨越大范围的空间和时间分辨率,因此越来越受欢迎。我们描述了几个可视化和VR软件包的相互作用,用于渲染宇宙中第一颗恒星演化的随时间变化的AMR模拟。这项工作是在探索频道电视制作的框架内完成的,“展开的宇宙”。部分数据来自有史以来最复杂的AMR模拟之一:它包含多达27个级别的分辨率,需要修改基于纹理的AMR体绘制算法,该算法用于描述气态星际物质的密度分布。使用语音和手势控制的CAVE应用程序来定义相机路径,这些路径遵循计算域深处的有趣特征。根据宇宙学计算数据创建的背景图像与最终效果图相结合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rendering the first star in the Universe - A case study
For quantitative examination of phenomena that simultaneously occur on very different spatial and temporal scales, adaptive hierarchical schemes are required. A special numerical multilevel technique, associated with a particular hierarchical data structure, is so-called adaptive mesh refinement (AMR). It allows one to bridge a wide range of spatial and temporal resolutions and therefore gains increasing popularity. We describe the interplay of several visualization and VR software packages for rendering time dependent AMR simulations of the evolution of the first star in the universe. The work was done in the framework of a television production for Discovery Channel television, "The Unfolding Universe.". Parts of the data were taken from one of the most complex AMR simulation ever carried out: It contained up to 27 levels of resolution, requiring modifications to the texture based AMR volume rendering algorithm that was used to depict the density distribution of the gaseous interstellar matter. A voice and gesture controlled CAVE application was utilized to define camera paths following the interesting features deep inside the computational domains. Background images created from cosmological computational data were combined with the final renderings.
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