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The Design and Implementation of Astronomical Multi-catalog Storage and Cross-match Based on Hadoop

机译:基于Hadoop的天文多目录存储和交叉匹配的设计与实现

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摘要

With the development of astronomical observation techniques, telescopes around the world continue to release new spectral data. Due to the difference of geographical location and performance of variable telescopes, the catalog data contain different location information and different band information. In order to provide astronomers with more comprehensive astronomical information, celestial information of multi-band needs to be cross-matched. It's necessary to use distributed and parallel computing techniques to process massive astronomical data. In this paper, we propose a solution to store and cross-match multi-catalog astronomical data.
机译:随着天文观测技术的发展,世界各地的望远镜继续发布新的光谱数据。由于地理位置和可变望远镜的性能的差异,目录数据包含不同的位置信息和不同的频带信息。为了提供具有更全面的天文信息的天文学家,多频带的天体信息需要交叉匹配。有必要使用分布式和并行计算技术来处理大规模的天文数据。在本文中,我们提出了一种解决和交叉匹配多目录天文数据的解决方案。

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