Abstract
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.
Highlights
Precision studies play a crucial role in the rich physics programme at the large hadron collider (LHC)
We compare the next-to-next-to-leading order (NNLO) + PS predictions obtained with MiNNLOPS to fixed-order NNLO (f NNLO) results obtained with the public code Matrix [9]
In this article we have addressed a number of aspects of the MiNNLOPS method, which combines NNLO QCD calculations with parton-shower simulations
Summary
Precision studies play a crucial role in the rich physics programme at the large hadron collider (LHC). NNLO accuracy for observables inclusive in the QCD radiation beyond the Born level, while preserving the logarithmic structure (and accuracy) of the parton-shower simulation after matching. In this article we investigate the sources of differences between MiNNLOPS and fixed-order NNLO (f NNLO) QCD predictions due to higher-order corrections beyond the nominal perturbative accuracy. These differences affect inclusive observables such as the total cross section or the rapidity distribution of a color-singlet produced in hadronic collisions. We introduce various prescriptions to either remove or reduce these corrections This leads to a significantly improved agreement between MiNNLOPS predictions and f NNLO calculations for inclusive observables. The computer codes with the implementation of the MiNNLOPS method for 2 → 1 processes is released with this article within the POWHEG- BOX framework [5,7,8]
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