Bayesian Implications of Current LHC Supersymmetry and Dark Matter
  Detection Searches for the Constrained MSSM
  We investigate the impact of recent limits from LHC searches for
supersymmetry and from direct and indirect searches for dark matter on global
Bayesian inferences of the parameter space of the Constrained Minimal
Supersymmetric Standard Model (CMSSM). In particular we apply recent exclusion
limits from the CMS \alpha_T analysis of 1.1/fb of integrated luminosity, the
current direct detection dark matter limit from XENON100, as well as recent
experimental constraints on \gamma-ray fluxes from dwarf spheroidal satellite
galaxies of the Milky Way from the FermiLAT telescope, in addition to updating
values for other non-LHC experimental constraints. We extend the range of
scanned parameters to include a significant fraction of the focus
point/hyperbolic branch region. While we confirm earlier conclusions that at
present LHC limits provide the strongest constraints on the model's parameters,
we also find that when the uncertainties are not treated in an excessively
conservative way, the new bounds from dwarf spheroidal have the power to
significantly constrain the focus point/hyperbolic branch region. Their effect
is then comparable, if not stronger, to that from XENON100. We further analyze
the effects of one-year projected sensitivities on the neutrino flux from the
Sun in the 86-string IceCube+DeepCore configuration at the South Pole. We show
that data on neutrinos from the Sun, expected for the next few months at
IceCube and DeepCore, have the potential to further constrain the same region
of parameter space independently of the LHC and can yield additional
investigating power for the model.
