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Gaia Data Release 1

机译:盖亚数据发布1

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摘要

Context. Although the Gaia catalogue on its own will be a very powerful tool, it is the combination of this highly accurate archive with other archives that will truly open up amazing possibilities for astronomical research. The advanced interoperation of archives is based on cross-matching, leaving the user with the feeling of working with one single data archive. The data retrieval should work not only across data archives, but also across wavelength domains. The first step for seamless data access is the computation of the cross-match between Gaia and external surveys. Aims. The matching of astronomical catalogues is a complex and challenging problem both scientifically and technologically (especially when matching large surveys like Gaia). We describe the cross-match algorithm used to pre-compute the match of Gaia Data Release 1 (DR1) with a selected list of large publicly available optical and IR surveys. Methods. The overall principles of the adopted cross-match algorithm are outlined. Details are given on the developed algorithm, including the methods used to account for position errors, proper motions, and environment; to define the neighbours; and to define the figure of merit used to select the most probable counterpart. Results. Statistics on the results are also given. The results of the cross-match are part of the official Gaia DR1 catalogue.
机译:上下文。尽管Gaia目录本身将是一个非常强大的工具,但正是这种高度精确的档案与其他档案的结合,才真正为天文学研究开辟了惊人的可能性。归档的高级互操作基于交叉匹配,使用户感觉可以使用一个数据归档。数据检索不仅应跨数据档案馆,而且应跨波长域。无缝数据访问的第一步是计算Gaia与外部调查之间的交叉匹配。目的天文目录的匹配在科学和技术上都是一个复杂且具有挑战性的问题(尤其是在匹配像Gaia这样的大型测量数据时)。我们描述了交叉匹配算法,该算法用于预先计算Gaia数据版本1(DR1)与大型可公开获得的光学和IR调查的列表。方法。概述了采用的交叉匹配算法的总体原理。详细介绍了已开发的算法,包括用于解决位置误差,正确运动和环境的方法;定义邻居;并定义用于选择最可能的对应物的品质因数。结果。还给出了结果的统计数据。交叉比赛的结果是Gaia DR1官方目录的一部分。

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