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arXiv · 1005.2525

Bayesian Study and Naturalness in MSSM Forecast for the LHC

Maria Eugenia Cabrera
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Abstract

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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Maria Eugenia Cabrera. 2010-05-14. Bayesian Study and Naturalness in MSSM Forecast for the LHC. https://arxiv.org/abs/1005.2525

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