论文标题
关于减少MC@NLO型匹配过程中负重的负重
On the reduction of negative weights in MC@NLO-type matching procedures
论文作者
论文摘要
我们展示了如何在软式淋浴蒙特卡洛（Monte Carlo）的行为进行仔细分析，在柔软和界线区域附近，人们如何制定修改后的MC@nlo匹配处方，从而减少了来自标准MC@nlo程序的负重事件的数量。作为这种处方的第一个实际应用，我们将MC@nlo- $δ$配音，我们通过使用Pythia8 Monte Carlo在Madgraph5_AMC@nlo框架中实现了它。我们在13 TEV LHC上提出了选定的MC@nlo- $δ$结果，并将其与MC@nlo进行比较。我们发现，前者的预测与典型匹配系统中的后者一致，并且负重事件的减少是显着的。
We show how a careful analysis of the behaviour of a parton shower Monte Carlo in the vicinity of the soft and collinear regions allows one to formulate a modified MC@NLO-matching prescription that reduces the number of negative-weight events with respect to that stemming from the standard MC@NLO procedure. As a first practical application of such a prescription, that we dub MC@NLO-$Δ$, we have implemented it in the MadGraph5_aMC@NLO framework, by employing the Pythia8 Monte Carlo. We present selected MC@NLO-$Δ$ results at the 13 TeV LHC, and compare them with MC@NLO ones. We find that the former predictions are consistent with the latter ones within the typical matching systematics, and that the reduction of negative-weight events is significant.
