盖亚：数据处理的组织和挑战
Gaia: Organisation and challenges for the data processing
摘要：
盖亚是欧空局一项雄心勃勃的空间天体测量任务，其主要目标是在下一个十年结束前将天体测量和测光中的天空映射到20等。虽然该任务由欧空局和一个工业财团建造和运营，但数据处理委托给科学界成立的一个财团，该财团成立于2006年，一年后由欧空局正式选定。该卫星将在5年的任务期限内下行约100 TB的原始遥测数据，其中非常复杂的迭代处理将导致最终的科学输出：最终精度为几十微弧秒的天体测量，宽波段和窄波段的历元测光，我们讨论了这一超大数据处理的一般原理和主要困难，并提出了组织结构欧洲联盟负责其设计和实施。
英文摘要：
Gaia is an ambitious space astrometry mission of ESA with a main objective to map the sky in astrometry and photometry down to a magnitude 20 by the end of the next decade. While the mission is built and operated by ESA and an industrial consortium, the data processing is entrusted to a consortium formed by the scientific community, which was formed in 2006 and formally selected by ESA one year later. The satellite will downlink around 100 TB of raw telemetry data over a mission duration of 5 years from which a very complex iterative processing will lead to the final science output: astrometry with a final accuracy of a few tens of microarcseconds, epoch photometry in wide and narrow bands, radial velocity and spectra for the stars brighter than 17 mag. We discuss the general principles and main difficulties of this very large data processing and present the organisation of the European Consortium responsible for its design and implementation.
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