Visualization of Large Scientific Datasets - Analysis of Numerical Simulation Data and Astronomical Surveys Catalogues

B. Thooris, Daniel Pomarède
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Abstract

In the context of our project COAST (for Computational Astrophysics), a program of massively parallel numerical simulations in astrophysics involving astrophysicists and software engineers, we have developed visualization tools to analyse the massive amount of data produced in these simulations. We present in this paper the SDvision code capabilities with examples of visualization of cosmology and astrophysical simulations realized with hydrodynamics codes, and more results in other domains of physics, like plasma or particles physics. Recently, the SDvision 3D visualization software has been improved to cope with the analysis of astronomical surveys catalogues, databases of multiple data products including redshifts, peculiar velocities, reconstructed density and velocity fields. On the basis of the various visualization techniques offered by the SDvision software, that rely on multicore computing and OpenGL hardware acceleration, we have created maps displaying the structure of the Local Universe where the most prominent features such as voids, clusters of galaxies, filaments and walls, are identified and named.
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大型科学数据集的可视化。数值模拟数据和天文调查目录的分析
在我们的项目COAST(计算天体物理学)的背景下,一个涉及天体物理学家和软件工程师的大规模并行天体物理学数值模拟程序,我们开发了可视化工具来分析这些模拟中产生的大量数据。在本文中,我们用流体力学代码实现了宇宙学和天体物理模拟的可视化,并在其他物理领域,如等离子体或粒子物理领域,展示了SDvision代码的功能。近年来,SDvision三维可视化软件进行了改进,以应对天文巡天目录的分析,以及包括红移、特殊速度、重建密度和速度场在内的多种数据产品的数据库。基于SDvision软件提供的各种可视化技术,这些技术依赖于多核计算和OpenGL硬件加速,我们创建了显示本地宇宙结构的地图,其中最突出的特征,如空洞、星系团、细丝和壁,被识别和命名。
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