Goutam Das
NLO predictions for the production of a spin-two particle at the LHC
Das, Goutam; Degrande, Céline; Hirschi, Valentin; Maltoni, Fabio; Shao, Hua-Sheng
Authors
Céline Degrande
Valentin Hirschi
Fabio Maltoni
Hua-Sheng Shao
Abstract
We obtain predictions accurate at the next-to-leading order in QCD for the production of a generic spin-two particle in the most relevant channels at the LHC: production in association with coloured particles (inclusive, one jet, two jets and tt¯), with vector bosons (Z,W±,γ) and with the Higgs boson. We present total and differential cross sections as well as branching ratios as a function of the mass and the collision energy also considering the case of non-universal couplings to standard model particles. We find that the next-to-leading order corrections give rise to sizeable K factors for many channels, in some cases exposing the unitarity-violating behaviour of non-universal couplings scenarios, and in general greatly reduce the theoretical uncertainties. Our predictions are publicly available in the MadGraph5_aMC@NLO framework and can, therefore, be directly used in experimental simulations of spin-two particle production for arbitrary values of the mass and couplings.
Citation
Das, G., Degrande, C., Hirschi, V., Maltoni, F., & Shao, H. (2017). NLO predictions for the production of a spin-two particle at the LHC. Physics Letters B, 770, 507-513. https://doi.org/10.1016/j.physletb.2017.05.007
Journal Article Type | Article |
---|---|
Acceptance Date | May 2, 2017 |
Online Publication Date | May 8, 2017 |
Publication Date | Jul 10, 2017 |
Deposit Date | Jul 28, 2017 |
Publicly Available Date | Jul 28, 2017 |
Journal | Physics Letters B |
Print ISSN | 0370-2693 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 770 |
Pages | 507-513 |
DOI | https://doi.org/10.1016/j.physletb.2017.05.007 |
Public URL | https://durham-repository.worktribe.com/output/1372242 |
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
© 2017 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/4.0/). Funded by SCOAP3
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