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The Chandra X-ray Observatory data processing system

机译:Chandra X射线天文台数据处理系统

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Raw data from the Chandra X-ray Observatory are processed by a set of standard data processing pipelines to create scientifically useful data products appropriate for further analysis by end users. Fully automated pipelines read the dumped raw telemetry byte stream from the spacecraft and perform the common reductions and calibrations necessary to remove spacecraft and instrumental signatures and convert the data into physically meaningful quantities that can be further analyzed by observers. The resulting data products are subject to automated validation to ensure correct pipeline processing and verify that the spacecraft configuration and scheduling matched the observers request and any constraints. In addition, pipeline processing monitors science and engineering data for anomalous indications and trending, and triggers alerts if appropriate. Data products are ingested and stored in the Chandra Data Archive, where they are made available for downloading by users. In this paper, we describe the architecture of the data processing system, including the scientific algorithms that are applied to the data, and interfaces to other subsystems. We place particular emphasis on the impacts of design choices on system integrity and maintainability. We review areas where algorithmic improvements or changes in instrument characteristics have required significant enhancements, and the mechanisms used to effect these changes while assuring continued scientific integrity and robustness. We discuss major enhancements to the data processing system that are currently being developed to automate production of the Chandra Source Catalog.
机译:来自Chandra X射线天文台的原始数据由一组标准数据处理管道处理,以创建适合于最终用户进一步分析的科学有用的数据产品。全自动管道从航天器读取倾倒的原始遥测字节流,并执行删除航天器和仪器签名所需的常见减少和校准,并将数据转换为物理有意义的数量,可以通过观察者进一步分析。由此产生的数据产品有关自动验证,以确保正确的管道处理,并验证航天器配置和调度是否匹配了观察者请求和任何约束。此外,管道处理监控用于异常指示和趋势的科学和工程数据,如果合适,触发警报。数据产品被摄入并存储在Chandra数据档案中,在那里可以通过用户下载。在本文中,我们描述了数据处理系统的架构,包括应用于数据的科学算法,以及对其他子系统的接口。我们特别强调设计选择对系统完整性和可维护性的影响。我们审查了算法改进或仪器特性变化所需的区域所需的区域,并且用于实现这些变化的机制,同时确保持续科学完整性和鲁棒性。我们讨论了目前正在开发的数据处理系统的主要增强功能,以自动化Chandra源目录的生产。

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