Corpus ID: 237532248

Unbiased Elimination of Negative Weights in Monte Carlo Samples

@inproceedings{Andersen2021UnbiasedEO,
  title={Unbiased Elimination of Negative Weights in Monte Carlo Samples},
  author={Jeppe R. Andersen and Andreas Maier},
  year={2021}
}
  • Jeppe R. Andersen, A. Maier
  • Published 16 September 2021
  • Physics
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. ar X iv :2 10 9. 07 85 1v 1 [ he pph ] 1 6 Se p 20 21 

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