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arXiv 1702.01941astro-ph.CO
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宇宙学和数据可视化

Cosmography and Data Visualization

Daniel Pomarede, Helene M. Courtois, Yehuda Hoffman, R. Brent Tully

摘要:

宇宙学,研究和制作宇宙或宇宙的地图,是一个视觉表现受益于现代三维可视化技术和媒体的领域。在河外距离尺度上,可视化有助于理解本地宇宙的复杂结构,包括星系和暗物质的空间分布和流动。在本文中,我们报告了在宇宙流项目的背景下使用SDvision可视化软件获得的河外宇宙学领域的进展。在这里,多种可视化技术应用于各种数据产品:星系位置和星系特有的速度,重建速度场,密度场,引力势场,速度剪切张量的特征值和特征向量,包络面包围盆地的吸引力。这些可视化,实现为高分辨率图像,视频和交互式查看器,为许多研究做出了贡献:宇宙局部的宇宙学,大吸引子的性质,发现我们的超星系团Laniakea的边界,宇宙网络的映射,吸引子和排斥子的研究。

英文摘要:

Cosmography, the study and making of maps of the universe or cosmos, is a field where visual representation benefits from modern three-dimensional visualization techniques and media. At the extragalactic distance scales, visualization is contributing in understanding the complex structure of the local universe, in terms of spatial distribution and flows of galaxies and dark matter. In this paper, we report advances in the field of extragalactic cosmography obtained using the SDvision visualization software in the context of the Cosmicflows Project. Here, multiple visualization techniques are applied to a variety of data products: catalogs of galaxy positions and galaxy peculiar velocities, reconstructed velocity field, density field, gravitational potential field, velocity shear tensor viewed in terms of its eigenvalues and eigenvectors, envelope surfaces enclosing basins of attraction. These visualizations, implemented as high-resolution images, videos, and interactive viewers, have contributed to a number of studies: the cosmography of the local part of the universe, the nature of the Great Attractor, the discovery of the boundaries of our home supercluster of galaxies Laniakea, the mapping of the cosmic web, the study of attractors and repellers.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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