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arXiv 1905.04029astro-ph.IM
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赫歇尔-HIFI仪器的数据处理流水线

The Data Processing Pipeline for the Herschel-HIFI Instrument

K. Edwards, R. F. Shipman, D. Kester, A. Lorenzani, M. Melchior

摘要:

HIFI数据处理管道的开发是为了系统地处理HIFI科学仪器进行的诊断、校准和天文观测,这是Herschel任务的一部分。HIFI管道处理来自Herschel自动处理环境以及交互式环境中所有HIFI观测模式的数据。开发了一个通用软件框架,以最好地支持仪器团队和一般天文学家所需的用例。HIFI管道建立在此基础上,并采用高度模块化设计。这种模块化设计提供了必要的灵活性和可扩展性,以应对批量处理十八种不同观测模式的复杂性,支持天文学家进行交互式分析,并应对改进管道和最终产品质量所需的调整。这种软件开发和数据处理工作的方法是通过合并从类似的基于研究的项目中吸取的经验教训而得出的,同时了解到,鉴于项目的总体长度,需要一定程度的远见。在这篇文章中,HIFI软件开发过程的成功和挑战。为了支持今后的类似项目并保留所取得的经验,提取了所吸取的教训。

英文摘要:

The HIFI data processing pipeline was developed to systematically process diagnostic, calibration and astronomical observations taken with the HIFI science instrumentas part of the Herschel mission. The HIFI pipeline processed data from all HIFI observing modes within the Herschel automated processing environment, as well as, within an interactive environment. A common software framework was developed to best support the use cases required by the instrument teams and by the general astronomers. The HIFI pipeline was built on top of that and was designed with a high degree of modularity. This modular design provided the necessary flexibility and extensibility to deal with the complexity of batch-processing eighteen different observing modes, to support the astronomers in the interactive analysis and to cope with adjustments necessary to improve the pipeline and the quality of the end-products. This approach to the software development and data processing effort was arrived at by coalescing the lessons learned from similar research based projects with the understanding that a degree of foresight was required given the overall length of the project. In this article, both the successes and challenges of the HIFI software development process are presented. To support future similar projects and retain experience gained lessons learned are extracted.

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。

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