首页> 外文会议>Astronomical Data Analysis Software and Systems Conference >The Design Strategy of Scientific Data Quality Control Software for Euclid Mission.
【24h】

The Design Strategy of Scientific Data Quality Control Software for Euclid Mission.

机译:欧几里德使命科学数据质量控制软件的设计策略。

获取原文

摘要

The most valuable asset of a space mission like Euclid are the data. Due to their huge volume, the automatic quality control becomes a crucial aspect over the entire lifetime of the experiment. Here we focus on the design strategy for the Science Ground Segment (SGS) Data Quality Common Tools (DQCT), which has the main role to provide software solutions to gather, evaluate, and record quality information about the raw and derived data products from a primarily scientific perspective. The stakeholders for this system include Consortium scientists, users of the science data, and the ground segment data management system itself. The SGS DQCT will provide a quantitative basis for evaluating the application of reduction and calibration reference data (flat-fields, linearity correction, reference catalogs, etc.), as well as diagnostic tools for quality parameters, flags, trend analysis diagrams and any other metadata parameter produced by the pipeline, collected in incremental quality reports specific to each data level and stored on the Euclid Archive during pipeline processing. In a large programme like Euclid, it is prohibitively expensive to process large amount of data at the pixel level just for the purpose of quality evaluation. Thus, all measures of quality at the pixel level are implemented in the individual pipeline stages, and passed along as metadata in the production. In this sense most of the tasks related to science data quality are delegated to the pipeline stages, even though the responsibility for science data quality is managed at a higher level. The DQCT subsystem of the SGS is currently under development, but its path to full realization will likely be different than that of other subsystem; primarily because, due to a high level of parallelism and to the wide pipeline processing redundancy (for instance the mechanism of double Science Data Center for each processing function) the data quality tools have not only to be widely spread over all pipeline
机译:像欧几里德这样的空间使命的最有价值资产是数据。由于其巨大的体积,自动质量控制成为实验的整个寿命的重要方面。在这里,我们专注于科学地面段(SGS)数据质量普通工具(DQCT)的设计策略,它具有提供软件解决方案来收集,评估和记录关于原始和派生数据产品的质量信息的主要作用主要是科学的观点。该系统的利益相关者包括Consortium科学家,科学数据的用户,以及地面分段数据管理系统本身。 SGS DQCT将为评估还原和校准参考数据(平面,线性校正,参考目录等)的应用提供定量依据,以及质量参数,标志,趋势分析图和任何其他诊断工具由管道生成的元数据参数,从每个数据级别的增量质量报告中收集,并在管道处理期间存储在euclID存档上。在像EuclID这样的大型程序中,对于在质量评估的目的的目的上,在像素水平下处理大量数据是非常昂贵的。因此,在像素级别处的所有质量测量在各个流水线阶段中实现,并随着生产中的元数据传递。从这个意义上讲,与科学数据质量相关的大多数任务都是委派给管道阶段,即使科学数据质量的责任在更高的级别管理。 SGS的DQCT子系统目前正在开发中,但其全面实现的路径可能与其他子系统的路径不同;主要是因为,由于高水平的并行性和广泛的管道处理冗余(例如每个处理功能的双科学数据中心机制),数据质量工具不仅可以广泛传播所有管道

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号