https://doi.org/10.1140/epjc/s10052-020-08548-w
Special Article – Tools for Experiment and Theory
A Positive Resampler for Monte Carlo events with negative weights
1
Institute for Particle Physics Phenomenology, University of Durham, DH1 3LE, Durham, UK
2
Department of Physics and Astronomy, University College London, Gower Street, WC1E 6BT, London, UK
3
Deutsches Elektronen-Synchrotron, DESY, Platanenallee 6, 15738, Zeuthen, Germany
4
Theoretical Particle Physics, Department of Astronomy and Theoretical Physics, Lund University, Sölvegatan 14 A, 223 62, Lund, Sweden
Received:
20
July
2020
Accepted:
13
October
2020
Published online:
31
October
2020
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.
© The Author(s) 2020
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