Bayesian Study and Naturalness in MSSM Forecast for the LHC

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

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Presented at Recontres de Moriond EW 2010, 6-13 March 2010

Scientific paper

We perform a forecast of the CMSSM for the LHC based in an improved Bayesian analysis taking into account the present theoretical and experimental wisdom about the model. In this way we obtain a map of the preferred regions of the CMSSM parameter space and show that fine-tuning penalization arises from the Bayesian analysis itself when the experimental value of Mz is considered. The results are remarkable stable when using different priors

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