The negligible impact of experimental inconsistencies in the NNPDF4.0 global dataset

Roy Stegeman
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Abstract

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.
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实验不一致性对NNPDF4.0全球数据集的影响可以忽略不计
随着高能物理观测的预测和测量变得越来越精确,在确定部子分布函数(pdf)时控制所有不确定源变得越来越重要。PDF不确定性的一个来源是在选定的理论框架下数据不一致的结果。在这些过程中,我们研究了这些不一致在全球NNPDF4.0数据集中存在的影响。我们表明,当考虑缺失的高阶不确定性时,由于数据不一致而导致的PDF不确定性的缺失贡献处于统计波动的水平。
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