论文标题
分析网络基础设施：挑战和机遇
Analysis Cyberinfrastructure: Challenges and Opportunities
论文作者
论文摘要
分析网络基础结构是指用于支持高能物理（HEP）后期数据分析的软件和计算机硬件的组合。出于本白皮书的目的，晚期数据分析专门指的是转化由给定的实验协作（例如，CMS实验的纳米AOD）产生的最简化的常见数据格式，以直方图为单位。在这份白皮书中，我们反思了使用最新基于Python的分析框架在数据分析的最新经验中收集的观察结果，并通过高亮度LHC时代推断了这些经验，作为强调分析Cyberinfrstructure中潜在的R \＆d主题的方式。
Analysis cyberinfrastructure refers to the combination of software and computer hardware used to support late-stage data analysis in High Energy Physics (HEP). For the purposes of this white paper, late-stage data analysis refers specifically to the step of transforming the most reduced common data format produced by a given experimental collaboration (for example, nanoAOD for the CMS experiment) into histograms. In this white paper, we reflect on observations gathered from a recent experience with data analysis using a recent, python-based analysis framework, and extrapolate these experiences though the High-Luminosity LHC era as way of highlighting potential R\&D topics in analysis cyberinfrastructure.
