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October 9, 2025EPJ Web of ConferencesOpen Access

Monte Carlo efficiency via negative weight reduction

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Authors

JWJames Whitehead

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Overview

Analysis highlights efficiency gains in Monte Carlo simulations with NLO perturbative QCD and parton showers.

Key Points

  • Reduced negative weights improves the efficiency of Monte Carlo event samples by minimizing computational costs.
  • The KrkNLO matching method ensures positive weights and enhances the accuracy of event generation.
  • Restructuring the Matchbox module effectively reduces the incidence of negative weights in Mc@Nlo matching.
  • Approaches aim to maintain statistical precision while decreasing the need for larger event sample generation.

Cite This Study

James Whitehead (2025) studied this question.

synapsesocial.com/papers/68e70db290569dd607ee6449https://doi.org/10.1051/epjconf/202533701322
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