A new way of reducing negative weights in MC@NLO

A new way of reducing negative weights in MC@NLO

Blog Article

Abstract We introduce a new technique, that Shelf we dub Born spreading, aimed at reducing the number of negative-weight $${mathbb {S}}$$ S events in the MC@NLO matching of NLO calculations with parton-shower simulations.We show that such a technique, based on a re-distribution of Born matrix elements in the radiative phase Pain Management space, achieves a sizeable reduction of negative-weight events at little computational cost.The method does not induce any biases in physical distributions.