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arXiv 1005.2525hep-ph
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Bayesian Study and Naturalness in MSSM Forecast for the LHC

Maria Eugenia Cabrera

英文摘要:

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

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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