Abstract
The apparent discovery of a Higgs boson with mass ∼125 GeV has had a significant impact on the constrained minimal supersymmetric extension of the Standard Model (the CMSSM). Much of the low-mass parameter space in the CMSSM has been excluded by supersymmetric particle searches at the LHC as well as by the Higgs mass measurement and the emergent signal for Bs → μ+ μ-. Here, we consider the impact of these recent LHC results on several variants of the CMSSM with a primary focus on obtaining a Higgs mass of ∼125 GeV. In particular, we consider the one- and two-parameter extensions of the CMSSM with one or both of the Higgs masses set independently of the common sfermion mass, m0 (the NUHM1,2). We also consider the one-parameter extension of the CMSSM in which the input universality scale Min is below the GUT scale (the sub-GUT CMSSM). Finally, we reconsider mSUGRA models with sub-GUT universality, which have the same number of parameters as the CMSSM. We find that when Min < MGUT large regions of parameter space open up where the relic density of neutralinos can successfully account for dark matter with a Higgs boson mass ∼125 GeV. Interestingly, we find that the preferred range of the A-term in sub-GUT mSUGRA models straddles that predicted by the simplest Polonyi model.
| Original language | English (US) |
|---|---|
| Article number | 2403 |
| Pages (from-to) | 1-16 |
| Number of pages | 16 |
| Journal | European Physical Journal C |
| Volume | 73 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 2013 |
Bibliographical note
Funding Information:The work of J.E. and F.L. was supported in part by the London Centre for Terauniverse Studies (LCTS), using funding from the European Research Council via the Advanced Investigator Grant 267352: this also supported visits by K.A.O. to the CERN TH Division, which he thanks for its hospitality. The work of F.L. and K.A.O. was supported in part by DOE grant DE-FG02-94ER-40823 at the University of Minnesota, and the work of F.L. was also supported in part by a Doctoral Dissertation Fellowship at the University of Minnesota. P.S. gratefully acknowledges support and resources from the Center for High Performance Computing at the University of Utah.