1. Bayesian analysis of NmSuGra.
- Author
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Balázs, Csaba and Carter, Daniel
- Subjects
- *
LARGE Hadron Collider , *SUPERSYMMETRY , *SUPERGRAVITY , *DARK matter - Abstract
In anticipation of data from the Large Hadron Collider (LHC) and the potential discovery of supersymmetry, we calculate the odds of the next-to-minimal version of the popular supergravity motivated model (NmSuGra) being discovered at the LHC to be 4:3 (57%). We also demonstrate that viable regions of the NmSuGra parameter space outside the LHC reach can be covered by upgraded versions of dark matter direct detection experiments, such as super-CDMS, at 95% confidence level. Due to the similarities of the models, we expect very similar results for the constrained minimal supersymmetric standard model (CMSSM). [ABSTRACT FROM AUTHOR]
- Published
- 2010
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