WFCAM和VISTA科学档案中红外成像数据的自动管理
Automated curation of infra-red imaging data in the WFCAM and VISTA Science Archives
摘要：
最快的两个近红外巡天望远镜是UKIRT-WFCAM和VISTA。来自这两种仪器的数据由爱丁堡IfA的宽视场天文学单位（WFAU）使用相同的管理管道进行存档，并进行一些仪器特定的处理。这些调查的最终目录将包含数百亿个检测结果。数据取自一系列大型调查和较小的PI方案。这些调查从浅半球调查到超深单点调查，有数百个单独的时期，每个时期都有广泛的科学目标，从而产生了广泛的产品和数据库表。主要调查的处理必须考虑到调查小组的具体高级别要求，但自动化减少了档案操作员的工作量，从而提高了管理效率。驱动策展流程的决策制定流程是高效归档的关键要素。本文介绍了自动化的管道所涉及的主要问题。
英文摘要：
The two fastest near infrared survey telescopes are UKIRT-WFCAM and VISTA. The data from both these instruments are being archived by Wide Field Astronomy Unit (WFAU) at the IfA, Edinburgh, using the same curation pipeline, with some instrument specific processing. The final catalogues from these surveys will contain many tens of billions of detections. Data are taken for a range of large surveys and smaller PI programmes. The surveys vary from shallow hemisphere surveys to ultra deep single pointings with hundreds of individual epochs, each with a wide range of scientific goals, leading to a wide range of products and database tables being created. Processing of the main surveys must allow for the inclusion of specific high-level requirements from the survey teams, but automation reduces the amount of work by archive operators allowing a higher curation efficiency. The decision making processes which drive the curation pipeline are a crucial element for efficient archiving. This paper describes the main issues involved in automating the pipeline.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
