Bayesian Study and Naturalness in MSSM Forecast for the LHC
Autor: | Cabrera, Maria Eugenia |
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Rok vydání: | 2010 |
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Druh dokumentu: | Working Paper |
Popis: | 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 Comment: Presented at Recontres de Moriond EW 2010, 6-13 March 2010 |
Databáze: | arXiv |
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