| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01322 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/epjconf/202533701322 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701322
Monte Carlo efficiency via negative weight reduction
Jagiellonian University, ul. prof. Stanislawa Łojasiewicza 11, 30-348 Kraków, Poland
* e-mail: james.whitehead@uj.edu.pl
Published online: 7 October 2025
The generation of large event samples with Monte Carlo Event Generators is expected to be a computational bottleneck for precision phenomenology at the HL-LHC and beyond. This is due in part to the computational cost incurred by negative weights in ‘matched’ calculations combining NLO perturbative QCD with a parton shower: for the same target statistical precision, a larger sample must be generated. We summarise two approaches taken to tackle this problem: the development of the KrkNLO matching method, which uses a redefinition of the PDF factorisation scheme to guarantee positive weights by construction, and the restructuring of the Matchbox module to reduce the fraction of negative weights for Mc@Nlo matching.
© The Authors, published by EDP Sciences, 2025
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