LHC data have the potential to provide constraints on the gluon distribution, especially at high x, with both ATLAS and CMS performing differential measurements. Recently, CMS has measured double-differential distributions at 8 TeV. In this paper we examine the impact of this data set on the gluon distribution. To that end we develop novel, double-differential NNLO predictions for that data. No significant impact is found when the CMS data is added to the CT14HERA2 global PDF fit, due to the larger impact of the inclusive jet data from both the Tevatron and the LHC. If the jet data are removed from the fit, then an impact is observed. If the CMS data is scaled by a larger weight, representing the greater statistical power of the jet data, a roughly equal impact on the gluon distribution is observed for the as for the inclusive jet data. For data samples with higher integrated luminosity at 13 TeV, a more significant impact of the double-differential data may be observed.

LHC数据有可能对胶子的分布提供限制，尤其是在高x时，ATLAS和CMS均执行差分测量。最近，CMS测量了双差分布为8 TeV。在本文中，我们研究了此数据集对胶子分布的影响。为此，我们针对该数据开发了新颖的双微分NNLO预测。将CMS数据添加到CT14HERA2全局PDF拟合中时，未发现重大影响，这是因为Tevatron和LHC的包含性射流数据的影响较大。如果从拟合中删除了射流数据，则会观察到冲击。如果CMS数据按更大的权重进行缩放，代表了射流数据的更大统计能力，那么对于包含在内的射流数据，将观察到对胶子分布的影响大致相等。对于在13 TeV处具有更高的集成发光度的数据样本，可以观察到双差数据的更显着影响。