Efficient negative-weight elimination in large high-multiplicity Monte Carlo event samples

Abstract We demonstrate that cell resampling can eliminate the bulk of negative event weights in large event samples of high multiplicity processes without discernible loss of accuracy in the predicted observables. The application of cell resampling to much larger data sets and higher multiplicity p...

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Bibliographic Details
Main Authors: Jeppe R. Andersen, Andreas Maier, Daniel Maître
Format: Article
Language:English
Published: SpringerOpen 2023-09-01
Series:European Physical Journal C: Particles and Fields
Online Access:https://doi.org/10.1140/epjc/s10052-023-11905-0