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A Positive Resampler for Monte Carlo events with negative weights

Andersen, Jeppe R.; Gütschow, Christian; Maier, Andreas; Prestel, Stefan

A Positive Resampler for Monte Carlo events with negative weights Thumbnail


Authors

Christian Gütschow

Andreas Maier

Stefan Prestel



Abstract

We propose the Positive Resampler to solve the problem associated with event samples from state-of-the-art predictions for scattering processes at hadron colliders typically involving a sizeable number of events contributing with negative weight. The proposed method guarantees positive weights for all physical distributions, and a correct description of all observables. A desirable side product of the method is the possibility to reduce the size of event samples produced by General Purpose Event Generators, thus lowering the resource demands for subsequent computing-intensive event processing steps. We demonstrate the viability and efficiency of our approach by considering its application to a next-to-leading order + parton shower merged prediction for the production of a W boson in association with multiple jets.

Citation

Andersen, J. R., Gütschow, C., Maier, A., & Prestel, S. (2020). A Positive Resampler for Monte Carlo events with negative weights. The European Physical Journal C, 80(11), Article 1007. https://doi.org/10.1140/epjc/s10052-020-08548-w

Journal Article Type Article
Online Publication Date Oct 30, 2020
Publication Date 2020-11
Deposit Date Nov 17, 2020
Publicly Available Date Nov 17, 2020
Journal European Physical Journal C: Particles and Fields
Print ISSN 1434-6044
Electronic ISSN 1434-6052
Publisher SpringerOpen
Peer Reviewed Peer Reviewed
Volume 80
Issue 11
Article Number 1007
DOI https://doi.org/10.1140/epjc/s10052-020-08548-w

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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/.





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