Gaia Data Release 2
Gaia Data Release 2
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DOI：
10.1051/0004-6361/201833234
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发表时间：
2018-04
影响因子：
6.5
通讯作者：
Frédéric Arenou;X. Luri;C. Babusiaux;C. Fabricius;A. Helmi;T. Muraveva;A. Robin;F. Spoto;A. Va
中科院分区：
文献类型：
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作者：
Frédéric Arenou;X. Luri;C. Babusiaux;C. Fabricius;A. Helmi;T. Muraveva;A. Robin;F. Spoto;A. Va
上下文。第二次GAIA数据发布(DR2)包含了超过10亿个源的非常精确的天体测量和光度学性质，数千万个天体物理参数，数百万个径向速度，来自选定可变性类别的50万颗恒星的可变性信息，以及数千个太阳系天体的轨道。目标。在目录发布之前，这些数据都经过了专门的验证过程。本文的目的是描述各种Gaia DR2数据的完整性、准确性和精确度方面的验证结果。方法：研究方法。验证过程包括对目录内容进行系统分析，以利用统计分析和与外部数据或模型的比较来发现异常情况，无论是个别错误还是统计性质。结果。虽然天体测量学、光度学和光谱数据的质量和数量都是前所未有的，但它表明，如果不专门注意此处、星表文件和所附文件中描述的限制，就不能使用这些数据。我们特别强调在科学开发中对数据的统计使用的注意事项。特别是，我们讨论了质量过滤器，以及从天体测量到天体物理参数的性质、系统学和不确定性的考虑，以及各种选择函数。
Context. The second Gaia data release (DR2) contains very precise astrometric and photometric properties for more than one billion sources, astrophysical parameters for dozens of millions, radial velocities for millions, variability information for half a million stars from selected variability classes, and orbits for thousands of solar system objects. Aims. Before the catalogue was published, these data have undergone dedicated validation processes. The goal of this paper is to describe the validation results in terms of completeness, accuracy, and precision of the various Gaia DR2 data. Methods. The validation processes include a systematic analysis of the catalogue content to detect anomalies, either individual errors or statistical properties, using statistical analysis and comparisons to external data or to models. Results. Although the astrometric, photometric, and spectroscopic data are of unprecedented quality and quantity, it is shown that the data cannot be used without dedicated attention to the limitations described here, in the catalogue documentation and in accompanying papers. We place special emphasis on the caveats for the statistical use of the data in scientific exploitation. In particular, we discuss the quality filters and the consideration of the properties, systematics, and uncertainties from astrometry to astrophysical parameters, together with the various selection functions.