MSSM Forecast for the LHC

Understand

We perform a forecast of the MSSM with universal soft terms (CMSSM) for the LHC, based on an improved Bayesian analysis.

• We do not incorporate ad hoc measures of the fine-tuning to penalize unnatural possibilities: such penalization arises from the Bayesian analysis itself when the experimental value of $M_Z$ is considered.
• This allows to scan the whole parameter space, allowing arbitrarily large soft terms.
• Still the low-energy region is statistically favoured (even before including dark matter or g-2 constraints).