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IVOA HiPS implementation in the framework of WorldWide Telescope
Astronomy and Computing ( IF 2.5 ) Pub Date : 2020-03-20 , DOI: 10.1016/j.ascom.2020.100380
Y. Xu , C. Cui , D. Fan , S. Li , C. Li , J. Han , L. Mi , B. He , H. Yang , Y. Tao , S. Yang , L. He

The WorldWide Telescope(WWT) is a scientific visualization platform which can browse deep space images, star catalogs, and planetary remote sensing data from different observation facilities in a three-dimensional virtual scene. First launched and then open-sourced by Microsoft Research, the WWT is now managed by the American Astronomical Society (AAS). Hierarchical Progressive Survey (HiPS) is an astronomical data release scheme proposed by Centre de Données astronomiques de Strasbourg (CDS) and has been accepted as a recommendation by International Virtual Observatory Alliance (IVOA). The HiPS solution has been adopted widely by many astronomical institutions for data release. Since WWT selected Hierarchical Triangular Mesh (HTM) as the standard for data visualization in the early stage of development, data released by HiPS cannot be visualized in WWT, which significantly limits the application of WWT. This paper introduces the implementation method for HiPS dataset visualization in WWT, and introduces HiPS data projection, mesh rendering, and data index implementation in WWT. Taking Chang’E-2 lunar probe data as an example, this paper introduces how to convert planetary remote sensing data into a HiPS dataset and integrate it into WWT. This paper also compares the efficiency and memory consumption of WWT loading its native data and HiPS data, and illustrates the application of HiPS in scientific data visualization and science education in WWT.



中文翻译:

在全球望远镜框架内实施IVOA HiPS

全球望远镜(WWT)是一个科学的可视化平台,可以在三维虚拟场景中浏览来自不同观测设施的深空图像,恒星目录和行星遥感数据。WWT最初由Microsoft Research发起,然后开源。现在由美国天文学会(AAS)管理。递进递进调查(HiPS)是斯特拉斯堡天文中心(CDS)提出的天文数据发布方案,已被国际虚拟天文台联盟(IVOA)接受为建议。HiPS解决方案已被许多天文机构广泛采用以进行数据发布。由于WWT在开发的早期阶段选择了Hierarchical Triangular Mesh(HTM)作为数据可视化的标准,HiPS发布的数据无法在WWT中可视化,这极大地限制了WWT的应用。本文介绍了WWT中HiPS数据集可视化的实现方法,并介绍了WWT中HiPS数据投影,网格渲染和数据索引的实现。以Chang娥二号月球探测数据为例,介绍如何将行星遥感数据转换成HiPS数据集并将其整合到WWT中。本文还比较了WWT加载其本地数据和HiPS数据的效率和内存消耗,并说明了HiPS在WWT科学数据可视化和科学教育中的应用。WWT中的数据索引实现。以Chang娥二号月球探测数据为例,介绍如何将行星遥感数据转换为HiPS数据集并将其集成到WWT中。本文还比较了WWT加载其本地数据和HiPS数据的效率和内存消耗,并说明了HiPS在WWT科学数据可视化和科学教育中的应用。WWT中的数据索引实现。以Chang娥二号月球探测数据为例,介绍如何将行星遥感数据转换为HiPS数据集并将其集成到WWT中。本文还比较了WWT加载其本地数据和HiPS数据的效率和内存消耗,并说明了HiPS在WWT科学数据可视化和科学教育中的应用。

更新日期:2020-03-20
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