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arXiv · 2109.07851

Unbiased Elimination of Negative Weights in Monte Carlo Samples

Jeppe R. Andersen·Andreas Maier
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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.

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Jeppe R. Andersen, Andreas Maier. 2021-09-16. Unbiased Elimination of Negative Weights in Monte Carlo Samples. https://doi.org/10.1140/epjc%2Fs10052-022-10372-3

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