Andersen, Jeppe R;
Gutschow, Christian;
Maier, Andreas;
Prestel, Stefan;
(2020)
A Positive Resampler for Monte Carlo events with negative weights.
The European Physical Journal C
, 80
(11)
, Article 1007. 10.1140/epjc/s10052-020-08548-w.
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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.
| Type: | Article |
|---|---|
| Title: | A Positive Resampler for Monte Carlo events with negative weights |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1140/epjc/s10052-020-08548-w |
| Publisher version: | https://doi.org/10.1140/epjc/s10052-020-08548-w |
| Language: | English |
| Additional information: | © 2023 Springer Nature. This article is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Science & Technology, Physical Sciences, Physics, Particles & Fields, Physics |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10178105 |
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