Likelihood Analysis of the Sub-GUT MSSM in Light of LHC 13-TeV Data
J.C. Costa, E. Bagnaschi, K. Sakurai, M. Borsato, O. Buchmueller, M., Citron, A. De Roeck, M.J. Dolan, J.R. Ellis, H. Fl\"acher, S. Heinemeyer, M., Lucio, D. Mart\'inez Santos, K.A. Olive, A. Richards, G. Weiglein

TL;DR
This paper conducts a likelihood analysis of sub-GUT MSSM models using LHC 13-TeV data and dark matter searches, revealing preferred parameter ranges and potential detectability of dark matter in upcoming experiments.
Contribution
It introduces a comprehensive likelihood analysis of sub-GUT MSSM variants considering recent collider and dark matter constraints, highlighting favored parameter regions and experimental prospects.
Findings
Preference for $M_{in} \,\sim 10^5$ to $10^9$ GeV
LSP likely bino or Higgsino around 1 TeV
Dark matter detection within reach of future experiments
Abstract
We describe a likelihood analysis using MasterCode of variants of the MSSM in which the soft supersymmetry-breaking parameters are assumed to have universal values at some scale below the supersymmetric grand unification scale , as can occur in mirage mediation and other models. In addition to , such `sub-GUT' models have the 4 parameters of the CMSSM, namely a common gaugino mass , a common soft supersymmetry-breaking scalar mass , a common trilinear mixing parameter and the ratio of MSSM Higgs vevs , assuming that the Higgs mixing parameter . We take into account constraints on strongly- and electroweakly-interacting sparticles from /fb of LHC data at 13 TeV and the LUX and 2017 PICO, XENON1T and PandaX-II searches for dark matter scattering, in addition to the previous LHC and dark matter constraints as well as…
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