Skip to main content

Research Repository

Advanced Search

Studying the sensitivity of monotop probes to compressed supersymmetric scenarios at the LHC

Fuks, Benjamin; Richardson, Peter; Wilcock, Alexandra

Studying the sensitivity of monotop probes to compressed supersymmetric scenarios at the LHC Thumbnail


Authors

Benjamin Fuks

Alexandra Wilcock



Abstract

We investigate the sensitivity of the Large Hadron Collider to supersymmetric setups using monotop probes in which the signal is a single top quark produced in association with missing transverse energy. Our prospective study relies on Monte Carlo simulations of 300 fb−1300 fb−1 of proton–proton collisions at a centre-of-mass energy of 14 TeV and considers both leptonic and hadronic monotop decays. We present analysis strategies sensitive to regions of the supersymmetric parameter space which feature small superparticle mass splittings and illustrate their strengths in the context of a particular set of benchmark scenarios. Finally, we compare the regions of parameter space expected to be accessible with monotops probes during the next run of the LHC to the reach of more traditional search strategies employed by the ATLAS and CMS collaborations, where available.

Citation

Fuks, B., Richardson, P., & Wilcock, A. (2015). Studying the sensitivity of monotop probes to compressed supersymmetric scenarios at the LHC. The European Physical Journal C, 75(7), Article 308. https://doi.org/10.1140/epjc/s10052-015-3530-6

Journal Article Type Article
Acceptance Date Jun 17, 2015
Online Publication Date Jul 4, 2015
Publication Date Jul 4, 2015
Deposit Date Nov 24, 2017
Publicly Available Date Jan 24, 2018
Journal European Physical Journal C: Particles and Fields
Print ISSN 1434-6044
Electronic ISSN 1434-6052
Publisher SpringerOpen
Peer Reviewed Peer Reviewed
Volume 75
Issue 7
Article Number 308
DOI https://doi.org/10.1140/epjc/s10052-015-3530-6
Public URL https://durham-repository.worktribe.com/output/1339462
Related Public URLs http://arxiv.org/abs/arXiv:1408.3634

Files

Published Journal Article (896 Kb)
PDF

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

Copyright Statement
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative
Commons license, and indicate if changes were made. Funded by SCOAP3.






You might also like



Downloadable Citations