MiNNLO$$_{\text {PS}}$$: optimizing $$2\rightarrow 1$$ hadronic processes
MiNNLO$$_{\text {PS}}$$: optimizing $$2\rightarrow 1$$ hadronic processes
复制标题
MiNNLO$$_{ ext {PS}}$$：优化$$2 ightarrow 1$$强子过程
DOI：
--
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
M. Wiesemann
中科院分区：
文献类型：
--
作者：
P. Monni;E. Re;M. Wiesemann
我们认为MiNNLO
$$_\mathrm{ps}$$
方法始终如一地将次要次要顺序(NNLO)QCD计算与部分子簇射模拟相结合。我们确定了MiNNLO之间差异的主要来源
$$_\mathrm{ps}$$
以及由于超出NNLO精度的修正而对包含的可观测数据进行的固定阶NNLO预测，并提供了减少或删除它们的简单处方。对希格斯、带电和中性流的德雷尔-严的产生给出了精确的预测。与定阶NNLO计算的一致性有了很大的改善，因为包含了可观测，尺度的不确定性也减少了。这些代码在POWHEG-BOX中发布。
We consider the MiNNLO
$$_\mathrm{PS}$$
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
$$_\mathrm{PS}$$
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.
影响因子：
5.4
作者：
Ball, Richard D.;Bertone, Valerio;Ubiali, Maria
通讯作者：
Ubiali, Maria