Unbiased Elimination of Negative Weights in Monte Carlo Samples
High Energy Physics - Phenomenology
2022-06-01 v2 High Energy Physics - Experiment
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.
Keywords
Cite
@article{arxiv.2109.07851,
title = {Unbiased Elimination of Negative Weights in Monte Carlo Samples},
author = {Jeppe R. Andersen and Andreas Maier},
journal= {arXiv preprint arXiv:2109.07851},
year = {2022}
}
Comments
22 pages, 7 figures