Reducing Negative Weights in MC@NLO by Improved Implementation of Born Spreading
In this thesis, we present the efforts towards finding an improved implementation of the newly proposed Born Spreading method for reduction of negative S weights in the MC@NLO matching prescription. The improved implementations are tested on various LHC processes with MadGraph5_aMC@NLO (MG5_aMC) and compared to default MG5_aMC, 2×2×1 folding and default Born Spreading. The runtime in each step and
