[14] HEP软件基金会社区白皮书工作组-数据分析与解释

L. Bauerdick, M. Ritter, O. Gutsche, M. Sokoloff, N. Castro, M. Girone, T. Sakuma, P. Elmer, B. Bockelman, E. Sexton-Kennedy, G. Watts, J. Letts, F. Würthwein, C. Vuosalo, J. Pivarski, D. Katz, R. Bianchi, K. Cranmer, R. Gardner, S. McKee, B. Hegner, E. Rodrigues, D. Lange, C. Paus, J. Hernández, K. Pedro, B. Jayatilaka, L. Kreczko
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引用次数: 1

摘要

实验高能物理(HEP)的核心是开发能够对新现象提供灵敏度的设施和仪器。通过分析和解释HEP实验中复杂探测器的数据,我们对自然最基本的理解得到了提升。数据分析系统的目标是在计算和人力资源的限制下,在最短的时间内实现数据的最大可能的科学潜力。为了实现这一目标,未来的分析系统应该使物理学家能够以高水平的交互性、再现性和吞吐量访问数据。作为HEP软件基金会社区白皮书流程的一部分,成立了一个数据分析和解释工作组,以评估HEP数据分析的挑战和机遇,并为该领域未来十年的活动制定路线图。本报告介绍了数据分析和解释工作组的主要调查结果和建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
arXiv : HEP Software Foundation Community White Paper Working Group - Data Analysis and Interpretation
At the heart of experimental high energy physics (HEP) is the development of facilities and instrumentation that provide sensitivity to new phenomena. Our understanding of nature at its most fundamental level is advanced through the analysis and interpretation of data from sophisticated detectors in HEP experiments. The goal of data analysis systems is to realize the maximum possible scientific potential of the data within the constraints of computing and human resources in the least time. To achieve this goal, future analysis systems should empower physicists to access the data with a high level of interactivity, reproducibility and throughput capability. As part of the HEP Software Foundation Community White Paper process, a working group on Data Analysis and Interpretation was formed to assess the challenges and opportunities in HEP data analysis and develop a roadmap for activities in this area over the next decade. In this report, the key findings and recommendations of the Data Analysis and Interpretation Working Group are presented.
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