Unbiased elimination of negative weights in Monte Carlo samples

oleh: Jeppe R. Andersen, Andreas Maier

Format: Article
Diterbitkan: SpringerOpen 2022-05-01

Deskripsi

Abstract We propose a novel method for the elimination of negative Monte Carlo event weights. The method is process-agnostic, independent of any analysis, and preserves all physical observables. We demonstrate the overall performance and systematic improvement with increasing event sample size, based on predictions for the production of a W boson with two jets calculated at next-to-leading order perturbation theory.