2014
DOI: 10.1007/jhep09(2014)081
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Profile likelihood maps of a 15-dimensional MSSM

Abstract: We present statistically convergent profile likelihood maps obtained via global fits of a phenomenological Minimal Supersymmetric Standard Model with 15 free parameters (the MSSM-15), based on over 250M points. We derive constraints on the model parameters from direct detection limits on dark matter, the Planck relic density measurement and data from accelerator searches. We provide a detailed analysis of the rich phenomenology of this model, and determine the SUSY mass spectrum and dark matter properties that… Show more

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Cited by 55 publications
(64 citation statements)
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“…Several groups have advocated the use of the pMSSM for interpretation of LHC results [33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52]. Most of these studies use estimated experimental efficiencies and acceptances for pMSSM points, and compare them to the model-independent limits from a selection of LHC searches to constrain the pMSSM parameter space.…”
Section: Jhep10(2015)134mentioning
confidence: 99%
“…Several groups have advocated the use of the pMSSM for interpretation of LHC results [33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51][52]. Most of these studies use estimated experimental efficiencies and acceptances for pMSSM points, and compare them to the model-independent limits from a selection of LHC searches to constrain the pMSSM parameter space.…”
Section: Jhep10(2015)134mentioning
confidence: 99%
“…For the SM parameters, we used Gaussian priors described in Table III. For the numerical analysis, we use the SuperBayeS code [59], which uses the nested sampling algorithm implemented in Multinest [60], and integrates SoftSusy [61], SusyBSG [62], SuperIso [63], DarkSusy [64], MicrOMEGAs [65], and DarkSE [20] for the computation of the experimental observable. The full likelihood function is the product of the individual Gaussian likelihoods associated to each piece of experimental data.…”
Section: Sparticle Massesmentioning
confidence: 99%
“…In this case, the main constraints for sparticle masses come from LHC limits and B-physics (see, e.g., Refs. [30][31][32][33]). …”
Section: The Minimal Supersymmetric Standard Model After the Firsmentioning
confidence: 99%