Professor Jeppe Andersen jeppe.andersen@durham.ac.uk
Professor
A Positive Resampler for Monte Carlo events with negative weights
Andersen, Jeppe R.; Gütschow, Christian; Maier, Andreas; Prestel, Stefan
Authors
Christian Gütschow
Andreas Maier
Stefan Prestel
Abstract
We propose the Positive Resampler to solve the problem associated with event samples from state-of-the-art predictions for scattering processes at hadron colliders typically involving a sizeable number of events contributing with negative weight. The proposed method guarantees positive weights for all physical distributions, and a correct description of all observables. A desirable side product of the method is the possibility to reduce the size of event samples produced by General Purpose Event Generators, thus lowering the resource demands for subsequent computing-intensive event processing steps. We demonstrate the viability and efficiency of our approach by considering its application to a next-to-leading order + parton shower merged prediction for the production of a W boson in association with multiple jets.
Citation
Andersen, J. R., Gütschow, C., Maier, A., & Prestel, S. (2020). A Positive Resampler for Monte Carlo events with negative weights. The European Physical Journal C, 80(11), Article 1007. https://doi.org/10.1140/epjc/s10052-020-08548-w
Journal Article Type | Article |
---|---|
Online Publication Date | Oct 30, 2020 |
Publication Date | 2020-11 |
Deposit Date | Nov 17, 2020 |
Publicly Available Date | Nov 17, 2020 |
Journal | European Physical Journal C: Particles and Fields |
Print ISSN | 1434-6044 |
Electronic ISSN | 1434-6052 |
Publisher | SpringerOpen |
Peer Reviewed | Peer Reviewed |
Volume | 80 |
Issue | 11 |
Article Number | 1007 |
DOI | https://doi.org/10.1140/epjc/s10052-020-08548-w |
Public URL | https://durham-repository.worktribe.com/output/1250824 |
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