Skip to main content

Research Repository

Advanced Search

Unbiased elimination of negative weights in Monte Carlo samples

Andersen, Jeppe R.; Maier, Andreas

Unbiased elimination of negative weights in Monte Carlo samples Thumbnail


Authors

Andreas Maier



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.

Citation

Andersen, J. R., & Maier, A. (2022). Unbiased elimination of negative weights in Monte Carlo samples. The European Physical Journal C, 82(5), Article 433. https://doi.org/10.1140/epjc/s10052-022-10372-3

Journal Article Type Article
Acceptance Date Apr 27, 2022
Online Publication Date May 12, 2022
Publication Date 2022-05
Deposit Date Jul 26, 2022
Publicly Available Date Jul 26, 2022
Journal The European Physical Journal C
Print ISSN 1434-6044
Electronic ISSN 1434-6052
Publisher SpringerOpen
Peer Reviewed Peer Reviewed
Volume 82
Issue 5
Article Number 433
DOI https://doi.org/10.1140/epjc/s10052-022-10372-3
Public URL https://durham-repository.worktribe.com/output/1196908

Files

Published Journal Article (815 Kb)
PDF

Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.






You might also like



Downloadable Citations