Interactive visual exploration of halos in large-scale cosmology simulation
Interactive visual exploration of halos in large-scale cosmology simulation
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DOI：
10.1007/s12650-014-0206-5
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发表时间：
2014-07
影响因子：
1.7
通讯作者：
Guihua Shan;Maojin Xie;Feng'An Li;Yang Gao;Xue-bin Chi
中科院分区：
文献类型：
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作者：
Guihua Shan;Maojin Xie;Feng'An Li;Yang Gao;Xue-bin Chi
AbstractHalo 是宇宙学模拟中最重要的基本元素之一，它从小团块融合到更大的物体。光晕的诞生和合并过程在研究大尺度宇宙结构的演化中发挥着基础作用。在本文中，开发了一个可视化分析系统来交互式地识别和探索数千个光环的演化历史。在该系统中，采用所见即所得方式的智能结构感知选择方法，旨在通过 2D 手绘套索输入有效地定义 3D 空间中用户感兴趣的区域。然后通过合并树文件中的数据挖掘来识别该 3D 区域内光晕的确切信息。为了避免视觉混乱，所有光晕均采用 MDS 方法投影在二维空间中。通过3D视图和2D图形的链接视图，用户可以交互式地探索这些光环，包括追踪路径和进化历史树。图形摘要
AbstractHalo is one of the most important basic elements in cosmology simulation, which merges from small clumps to ever larger objects. The processes of halos’ birth and merging play a fundamental role in studying the evolution of large-scale cosmological structure. In this paper, a visual analysis system is developed to interactively identify and explore the evolution histories of thousands of halos. In this system, an intelligent structure-aware selection method in What You See Is What You Get manner is designed to efficiently define user’s interesting region in 3D space with 2D hand-drawn lasso input. Then the exact information of halos within this 3D region is identified by data mining in the merger tree files. To avoid visual clutter, all the halos are projected in 2D space with MDS method. Through the linked view of 3D view and 2D graph, users can interactively explore these halos, including the tracing path and the evolution history tree.Graphical abstract