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.

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Published on:
12 May 2022
Publisher:
Springer
Published in:
European Physical Journal C , Volume 82 (2022)
Issue 5
Pages 1-12
DOI:
https://doi.org/10.1140/epjc/s10052-022-10372-3
Copyrights:
The Author(s)
Licence:
CC-BY-4.0

Fulltext files: