ufommanager的代码库版本2.0

M. Neubauer, Avik Roy, Zijun Wang
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引用次数: 0

摘要

高能物理(HEP)这一数据密集型学科的研究往往依赖于特定领域的数字内容。研究的再现性依赖于对这些数字对象的适当保存。本文反映了在这种情况下对可查找性、可访问性、互操作性和可重用性(FAIR)原则的解释,并通过描述用于保存和访问由FAIR原则指导的通用FeynRules输出(UFO)模型的端到端支持基础设施的开发来演示其实现。UFO模型是HEP社区用于对撞机物理事件的蒙特卡罗模拟的定制python库。我们的框架提供了简单而强大的工具来根据FAIR原则保存和访问UFO模型和相应的元数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Codebase release 2.0 for UFOManager
Research in the data-intensive discipline of high energy physics (HEP) often relies on domain-specific digital contents. Reproducibility of research relies on proper preservation of these digital objects. This paper reflects on the interpretation of principles of Findability, Accessibility, Interoperability, and Reusability (FAIR) in such context and demonstrates its implementation by describing the development of an end-to-end support infrastructure for preserving and accessing Universal FeynRules Output (UFO) models guided by the FAIR principles. UFO models are custom-made python libraries used by the HEP community for Monte Carlo simulation of collider physics events. Our framework provides simple but robust tools to preserve and access the UFO models and corresponding metadata in accordance with the FAIR principles.
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