Cavern Halos: Exploring spatial and nonspatial cosmological data in an immersive virtual environment

P. Hanula, Kamil Piekutowski, Carlos Uribe, K. Almryde, Arthur Nishimoto, J. Aguilera, G. Marai
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引用次数: 11

Abstract

We present the design and implementation of an immersive visual mining and analysis tool for cosmological data. The tool consists of an immersive linked multiview display which allows domain experts to interact with visual representations of spatial and nonspatial cosmology data. Nonspatial data is represented as time-aligned merger trees, and through a pixel-based heatmap. Spatial data is represented through GPU-accelerated point clouds and geometric primitives. The user can select a halo and visualize a 3D representation of the raw particles, as well as of the halos at the particular time stamp. We have demonstrated the tool to a senior staff member of the Adler Planetarium and report their feedback. The tool can assist researchers in the interaction navigation and mining of large scale cosmological simulation data.
洞穴光环:在沉浸式虚拟环境中探索空间和非空间宇宙学数据
我们提出了一个沉浸式的可视化宇宙数据挖掘和分析工具的设计和实现。该工具由一个沉浸式链接多视图显示组成,允许领域专家与空间和非空间宇宙学数据的视觉表示进行交互。非空间数据表示为时间对齐的合并树,并通过基于像素的热图表示。空间数据通过gpu加速点云和几何原语表示。用户可以选择一个光晕,并可视化原始粒子的3D表示,以及特定时间戳的光晕。我们已经向阿德勒天文馆的一位高级工作人员演示了该工具,并报告了他们的反馈。该工具可以帮助研究人员进行交互导航和大规模宇宙模拟数据的挖掘。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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