Bayesian Implications of Current LHC and XENON100 Search Limits for the Constrained MSSM
Andrew Fowlie, Artur Kalinowski, Malgorzata Kazana, Leszek Roszkowski, and Yue-Lin Sming Tsai

TL;DR
This paper integrates recent LHC and XENON100 experimental limits into a Bayesian analysis of the Constrained MSSM, revealing significant shifts in favored parameter regions and highlighting tensions between different experimental constraints.
Contribution
It develops a method to incorporate collider and dark matter search limits into a Bayesian fit of the CMSSM, updating the understanding of its parameter space with current data.
Findings
Excludes the low-mass favored region of CMSSM parameter space.
Narrow light Higgs resonance region becomes excluded.
Focus point/horizontal branch region remains allowed at 1sigma.
Abstract
The CMS Collaboration has released the results of its search for supersymmetry, by applying an alphaT method to 1.1/fb of data at 7 TeV. The null result excludes (at 95% CL) a low-mass region of the Constrained MSSM's parameter space that was previously favored by other experiments. Additionally, the negative result of the XENON100 dark matter search has excluded (at 90% CL) values of the spin-independent scattering cross sections sigma^SI_p as low as 10^-8 pb. We incorporate these improved experimental constraints into a global Bayesian fit of the Constrained MSSM by constructing approximate likelihood functions. In the case of the alphaT limit, we simulate detector efficiency for the CMS alphaT 1.1/fb and validate our method against the official 95% CL contour. We identify the 68% and 95% credible posterior regions of the CMSSM parameters, and also find the best-fit point. We find…
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