Multiplicative-Accumulative matching of NLO calculations with parton showers

Abstract

We propose a new approach for combining next-to-leading order (NLO) and parton shower (PS) calculations so as to obtain three core features: (a) applicability to general showers, as with the MCatNLO and POWHEG methods; (b) positive-weight events, as with the KrkNLO and POWHEG methods; and (c) all showering attributed to the parton shower code, as with the MCatNLO and KrkNLO methods. This is achieved by using multiplicative matching in phase space regions where the shower overestimates the matrix element and accumulative (additive) matching in regions where the shower underestimates the matrix element, an approach that can be viewed as a combination of the MCatNLO and KrkNLO methods.

11 pages

References in corpus (5)

• Spin correlations in final-state parton showers and jet observables
• Unbiased Elimination of Negative Weights in Monte Carlo Samples
• Parton distribution functions in Monte Carlo factorisation scheme
• On the universality of the KRK factorization scheme
• Reducing negative weights in Monte Carlo event generation with Sherpa

Cited by in corpus (6)

• Event Generators for High-Energy Physics Experiments
• Top-pair production at the LHC with MiNNLO${}_{\mathrm{PS}}$
• Matching and event-shape NNDL accuracy in parton showers
• Logarithmically-accurate and positive-definite NLO shower matching
• KrkNLO matching for colour-singlet processes
• Monte Carlo Event Generators