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Constructing and Testing Data Models for LHC Electrical Quality Assurance

机译:LHC电气质量保证的构建和测试数据模型

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Constructing and testing various data models is a highly iterative and creative process. It requires the work of a team in an interdisciplinary way and a good understanding of the domain within which the models are developed. In this paper, we showed an approach for the construction and the estimation of various data models for hardware commissioning of the Large Hadron Collider (LHC). We reported the development of the methodology for constructing and testing the data models for electrical quality assurance (ELQA) and presented the outputs of the iterative processes of various models intended for the development of a software analysis tool for the ELQA campaigns, which will be used to discover similar patterns of low quality tests on circuits when dealing with non-conformities of the LHC hardware commissioning in the future.
机译:构造和测试各种数据模型是一个高度迭代和创造性的过程。它要求团队以跨学科的方式工作,并且对模型开发的领域有很好的了解。在本文中,我们展示了一种构造和估算大型强子对撞机(LHC)硬件调试各种数据模型的方法。我们报告了用于构建和测试电气质量保证(ELQA)数据模型的方法的开发,并介绍了旨在开发用于ELQA活动的软件分析工具的各种模型的迭代过程的输出。将来在处理LHC硬件调试的不合格时,会发现类似的电路低质量测试模式。

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