迈向新的NNPDF4.1全局分析
Towards the new NNPDF4.1 global analysis
AI总结：
NNPDF合作组计划发布新全局PDF分析NNPDF4.1，采用精确NNLO插值网格、近似N3LO QCD修正和QED效应，纳入25个以上新数据集，并通过改进的机器学习方法验证。
AI中文摘要：
我们回顾了NNPDF合作组迈向新的全局PDF分析所取得的进展和计划。这一新版本将基于最先进的理论计算，特别是将基于精确的NNLO插值网格、(近似)N3LO QCD修正应用于DGLAP演化和DIS结构函数，以及QED效应对DGLAP演化的影响。所有相关的实验和理论不确定性来源，后者包括缺失的高阶项和高扭项，都被考虑在内。与NNPDF4.0相比，这一新版本包含了超过25个新数据集，涵盖从HERA喷注到Drell-Yan（包含和额外喷注）、顶夸克以及LHC喷注产生等。我们的机器学习方法通过广泛的闭合和未来测试进行了统计验证，并受益于改进的超参数优化算法。
英文摘要：
We review progress and plans towards a new global PDF analysis from the NNPDF Collaboration. This new release will be based on state-of-the-art theory calculations, and in particular will be based on exact NNLO interpolation grids, (approximate) N3LO QCD corrections to DGLAP evolution and DIS structure functions, and QED effects to DGLAP evolution. All relevant sources of experimental and theoretical uncertainties, the latter including missing higher orders and higher twists, are taken into account. As compared to NNPDF4.0, this new release includes more than 25 new datasets from HERA jets to Drell-Yan (inclusive and with extra jets), top quark, and jet production at the LHC among others. Our machine learning methodology is statistically validated by extensive closure and future tests and benefits from an improved hyperoptimization algorithm.
