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Type: Journal article
Title: A global fit of the MSSM with GAMBIT
Author: Athron, P.
Balázs, C.
Bringmann, T.
Buckley, A.
Chrząszcz, M.
Conrad, J.
Cornell, J.
Dal, L.
Edsjö, J.
Farmer, B.
Jackson, P.
Krislock, A.
Kvellestad, A.
Mahmoudi, F.
Martinez, G.
Putze, A.
Raklev, A.
Rogan, C.
Saavedra, A.
Savage, C.
et al.
Citation: European Physical Journal C: Particles and Fields, 2017; 77(12):879-1-879-27
Publisher: Springer
Issue Date: 2017
ISSN: 1434-6044
Statement of
Peter Athron, Csaba Balázs, Torsten Bringmann, Andy Buckley, Marcin Chrząszcz, Jan Conrad, Jonathan M. Cornell, Lars A. Dal, Joakim Edsjö, Ben Farmer, Paul Jackson, Abram Krislock, Anders Kvellestad, Farvah Mahmoudi, Gregory D. Martinez, Antje Putze, Are Raklev, Christopher Rogan, Aldo Saavedra, Christopher Savage, Pat Scott, Nicola Serra, Christoph Weniger, Martin White (The GAMBIT Collaboration)
Abstract: We study the seven-dimensional Minimal Supersymmetric Standard Model (MSSM7) with the new GAMBIT software framework, with all parameters defined at the weak scale. Our analysis significantly extends previous weak-scale, phenomenological MSSM fits, by adding more and newer experimental analyses, improving the accuracy and detail of theoretical predictions, including dominant uncertainties from the Standard Model, the Galactic dark matter halo and the quark content of the nucleon, and employing novel and highly-efficient statistical sampling methods to scan the parameter space. We find regions of the MSSM7 that exhibit co-annihilation of neutralinos with charginos, stops and sbottoms, as well as models that undergo resonant annihilation via both light and heavy Higgs funnels. We find high-likelihood models with light charginos, stops and sbottoms that have the potential to be within the future reach of the LHC. Large parts of our preferred parameter regions will also be accessible to the next generation of direct and indirect dark matter searches, making prospects for discovery in the near future rather good.
Rights: © The Author(s) 2017. This article is an open access publication
DOI: 10.1140/epjc/s10052-017-5196-8
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