Bayesian Study and Naturalness in MSSM Forecast for the LHC

Autor: Cabrera, Maria Eugenia
Rok vydání: 2010
Předmět:
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