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Fixed-order and merged parton-shower predictions for WW and WWj production at the LHC including NLO QCD and EW corrections

Bräuer, Stephan; Denner, Ansgar; Pellen, Mathieu; Schönherr, Marek; Schumann, Steffen

Fixed-order and merged parton-shower predictions for WW and WWj production at the LHC including NLO QCD and EW corrections Thumbnail


Authors

Stephan Bräuer

Ansgar Denner

Mathieu Pellen

Steffen Schumann



Abstract

First, we present a combined analysis of pp →μ+vμe−v¯¯¯e and pp →μ+vμe−v¯¯¯ej at next-to-leading order, including both QCD and electroweak corrections. Second, we provide all-order predictions for pp →μ+vμe−v¯¯¯e+jets using merged parton-shower simulations that also include approximate EW effects. A fully inclusive sample for WW production is compared to the fixed-order computations for exclusive zero- and one-jet selections. The various higher-order effects are studied in detail at the level of cross sections and differential distributions for realistic experimental set-ups. Our study confirms that merged predictions are significantly more stable than the fixed-order ones in particular regarding ratios between the two processes.

Citation

Bräuer, S., Denner, A., Pellen, M., Schönherr, M., & Schumann, S. (2020). Fixed-order and merged parton-shower predictions for WW and WWj production at the LHC including NLO QCD and EW corrections. Journal of High Energy Physics, 2020(10), Article 159. https://doi.org/10.1007/jhep10%282020%29159

Journal Article Type Article
Acceptance Date Sep 22, 2020
Online Publication Date Oct 26, 2020
Publication Date 2020-10
Deposit Date Nov 4, 2020
Publicly Available Date Nov 4, 2020
Journal Journal of High Energy Physics
Print ISSN 1126-6708
Publisher Scuola Internazionale Superiore di Studi Avanzati (SISSA)
Peer Reviewed Peer Reviewed
Volume 2020
Issue 10
Article Number 159
DOI https://doi.org/10.1007/jhep10%282020%29159

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are credited.





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