2020/02/29 by R. Frederix, Rikkert Frederix, Stefano Frixione +4
Engineering · Mathematics · Physics and Astronomy · #Algorithm #Biology #Cover (algebra) #Engineering #Geometry #High-Energy Particle Collisions Research #Large Hadron Collider #Matching (statistics) #Mathematics #Monte Carlo method #Particle physics #Particle physics theoretical and experimental studies #Parton #Parton shower #Physics #Quantum Chromodynamics and Particle Interactions #Quantum chromodynamics #Reduction (mathematics) #Statistical physics #Statistics #Type (biology) #hep-ph
paper · pdf · doi:10.1007/jhep07(2020)238
44 pages, 13 figures; several minor text amendments and one figure added
openalex publication_date 2020/07/01 · arxiv created 2020/07/20 · arxiv updated 2020/08/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
A bstract 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-∆, we have implemented it in the M ad G raph 5_ a MC@NLO framework, by employing the P ythia 8 Monte Carlo. We present selected MC@NLO-∆ 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.