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Hierarchical Methods for the Generation, Publication and Visualization of Huge Astronomical Data Cube Surveys

机译:巨大的天文数据多维数据集调查的生成,出版和可视化的分层方法

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摘要

The CDS has developed and validated new methods to generate, publish and display huge astronomical image data cubes based on the Hierarchical Progressive Survey (HiPS) framework. Data cubes with two spatial dimensions and an additional spectral or temporal dimension can be mapped onto HEALPix grids at different resolutions, which supports zooming and panning of the data across the sky with the ability to explore the third dimension of the cube. These methods are successfully applied to different sorts of cube data, and surveys of cube data.
机译:CDS已开发并验证了基于分层逐行调查(HIPS)框架生成,发布和显示巨大的天文图像数据多维数据集的新方法。具有两个空间尺寸和附加光谱或时间维度的数据立方体可以映射到不同分辨率的HealPix网格上,这支持天空中的数据的缩放和平移,能够探索立方体的第三维度。这些方法成功应用于不同类型的多维数据集数据,以及多维数据集数据的调查。

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