论文标题
实验不一致在NNPDF4.0全球数据集中的影响可忽略不计
The negligible impact of experimental inconsistencies in the NNPDF4.0 global dataset
论文作者
论文摘要
随着高能物理学可观察物的预测和测量变得越来越精确，在确定Parton分布功能（PDF）中，控制所有不确定性的来源变得越来越重要。 PDF不确定性的一种来源是在选定的理论框架下数据不一致的结果。在这些程序中，我们调查了全球NNPDF4.0数据集中存在的这些不一致的影响。我们表明，当考虑到高阶不确定性缺失时，由于数据不一致而导致的PDF不确定性的缺失是统计波动的水平。
As both predictions and measurements of high-energy physics observables become more precise, controlling all sources of uncertainties in determinations of parton distribution functions (PDFs) becomes increasingly important. One source of PDF uncertainty is the result of data not being consistent under a chosen theoretical framework. In these proceedings we investigate the impact these inconsistencies present in the global NNPDF4.0 dataset. We show that, when accounting for missing higher order uncertainties, the missing contribution to the PDF uncertainty due to data inconsistencies are at the level of statistical fluctuations.
