ALMA quality assurance: concepts, procedures, and tools
ALMA quality assurance: concepts, procedures, and tools
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ALMA 质量保证：概念、程序和工具
DOI：
10.1117/12.2232426
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
E. Villard
中科院分区：
文献类型：
--
作者：
A. M. Chavan;S. L. Tanne;E. Akiyama;R. Kurowski;S. Randall;B. Vila Vilaro;E. Villard
阿尔马为社区提供的数据经过严格的质量保证（QA）过程，从最初的观察（“QA 0”）到最终的科学就绪数据产品（“QA 2”），再到主要研究者（PI）收到数据产品时给出的QA反馈（“QA 3”）。分析校准数据以衡量天文台的性能并预测其发展趋势（“QA 1”）。该程序分不同步骤进行，涉及阿尔马所有地点的若干行为者;由于专用软件工具和科学数据、元数据和操作参数的复杂数据库的支持，该程序得以实现。每个涉及的实体的生命周期都是明确定义的，它可以防止阿尔马管道处理“坏”数据（即不符合最低质量标准的数据）。本文介绍了阿尔马的质量保证的概念和程序，包括主要的使能软件组件。
Data produced by ALMA for the community undergoes a rigorous quality assurance (QA) process, from the initial observation ("QA0") to the final science-ready data products ("QA2"), to the QA feedback given by the Principal Investigators (PIs) when they receive the data products (“QA3”). Calibration data is analyzed to measure the performance of the observatory and predict the trend of its evolution ("QA1"). The procedure develops over different steps and involves several actors across all ALMA locations; it is made possible by the support given by dedicated software tools and a complex database of science data, meta-data and operational parameters. The life-cycle of each involved entity is well-defined, and it prevents for instance that "bad" data (that is, data not meeting the minimum quality standards) is ever processed by the ALMA pipeline. This paper describes ALMA's quality assurance concepts and procedures, including the main enabling software components.