MiNNLO $_{\rm PS}$：优化$2\to 1$强子过程
MiNNLO$_{\rm PS}$: Optimizing $2\to 1$ hadronic processes
摘要：
我们考虑用MiNNLO $_{\rm PS}$方法将次次主导阶（NNLO）QCD计算与部分子簇射模拟相结合。我们确定的主要来源之间的差异MiNNLO $_{\rm PS}$和固定顺序NNLO预测的包容性观测值由于超过NNLO精度的校正，并提出简单的处方，以减少或删除它们。精细的预测希格斯粒子，充电和中性电流Drell Yan生产。与固定阶NNLO计算的协议是相当大的改善包容性的观测量和规模的不确定性减少。代码在电源盒内发布。
英文摘要：
We consider the MiNNLO$_{\rm PS}$ method to consistently combine next-to-next-to-leading order (NNLO) QCD calculations with parton-shower simulations. We identify the main sources of differences between MiNNLO$_{\rm PS}$ and fixed-order NNLO predictions for inclusive observables due to corrections beyond NNLO accuracy and present simple prescriptions to either reduce or remove them. Refined predictions are presented for Higgs, charged- and neutral-current Drell Yan production. The agreement with fixed-order NNLO calculations is considerably improved for inclusive observables and scale uncertainties are reduced. The codes are released within the POWHEG-BOX.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
