Unbiased elimination of negative weights in Monte Carlo samples
Jeppe Andersen (Department of Physics, Institute for Particle Physics Phenomenology, University of Durham, Durham, DH1 3LE, UK); Andreas Maier (Deutsches Elektronen-Synchrotron DESY, Platanenallee 6, Zeuthen, 15738, Germany)
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.