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
Cite
@article{arxiv.1005.2525,
title = {Bayesian Study and Naturalness in MSSM Forecast for the LHC},
author = {Maria Eugenia Cabrera},
journal= {arXiv preprint arXiv:1005.2525},
year = {2010}
}
Comments
Presented at Recontres de Moriond EW 2010, 6-13 March 2010