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Combining Higher-Order Resummation with Multiple NLO Calculations and Parton Showers in GENEVA
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We extend the lowest-order matching of tree-level matrix elements with parton showers to give a complete description at the next higher perturbative accuracy in alpha_s at both small and large jet resolutions, which has not been achieved so far. This requires the combination of the higher-order resummation of large Sudakov logarithms at small values of the jet resolution variable with the full next-to-leading order (NLO) matrix-element corrections at large values. As a by-product this combination naturally leads to a smooth connection of the NLO calculations for different jet multiplicities. In this paper, we focus on the general construction of our method and discuss its application to e+e and pp collisions. We present first results of the implementation in the GENEVA Monte Carlo framework, where we employ N-jettiness as the jet resolution variable, combining its next-to-next-to-leading logarithmic resummation with fully exclusive NLO matrix elements, and PYTHIA8 as the backend for further parton showering and hadronization. For hadronic collisions, we take Drell-Yan production as an example to apply our construction. For e+e- -> jets, taking alpha_s(mZ) = 0.1135 from fits to LEP thrust data, together with the PYTHIA8 hadronization model, we obtain good agreement with LEP data for a variety of 2-jet observables.
Forward citations
Cited by 3 Pith papers
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Heavy Jet Mass in Hadronic Higgs Decays
Heavy jet mass in hadronic Higgs decays is predicted at N³LL′ (dijet) plus NNLL (Sudakov shoulder) plus NNLO, with new analytic trijet-region logarithms for H→gg and H→q̄q.
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Resumming transverse observables for NNLO+PS matching in GENEVA
A GENEVA NNLO+PS generator for b bbar H and c cbar H is built with qT resummation at N3LL and the first NLL' resummation of a transverse-measure one-jettiness.
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The PYTHIA Facility
PYTHIA is presented as a 'big science facility' in software form: since 2018 its manuals drew ~9,600 citing works and ~47,000 unique authors across LHC, heavy-ion, flavor, astroparticle, and ML-for-physics communities.
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