A standard convention for particle-level Monte Carlo event-variation weights
A standard convention for particle-level Monte Carlo event-variation weights
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DOI：
10.21468/scipostphyscore.6.1.007
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发表时间：
2022-03
影响因子：
3.6
通讯作者：
E. Bothmann;Andy Buckley;C. Gutschow;S. Prestel;M. Schonherr;P. Skands;S. Bhattacharya;J. Butterworth-J.-B
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文献类型：
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作者：
E. Bothmann;Andy Buckley;C. Gutschow;S. Prestel;M. Schonherr;P. Skands;S. Bhattacharya;J. Butterworth-J.-B
粒子级蒙特卡罗事件产生器中的事件权重流是一种在现象学计算中表示系统不确定性的方便且极具CPU效率的方法，提供了单个事件样本内标称预测的系统变化。但事实证明，对于事件处理工具和分析器来说，缺乏一个通用标准来标记这些跨不同工具的变化流已被证明是一个主要限制。在这里，我们提出了一个定义良好的、可扩展的社区标准，用于命名、排序和解释权重流，它将作为在理论和实验研究中正确进行语义分析和组合此类变体的基础。
Streams of event weights in particle-level Monte Carlo event generators are a convenient and immensely CPU-efficient approach to express systematic uncertainties in phenomenology calculations, providing systematic variations on the nominal prediction within a single event sample. But the lack of a common standard for labelling these variation streams across different tools has proven to be a major limitation for event-processing tools and analysers alike. Here we propose a well-defined, extensible community standard for the naming, ordering, and interpretation of weight streams that will serve as the basis for semantically correct parsing and combination of such variations in both theoretical and experimental studies.