Physics – High Energy Physics – High Energy Physics - Phenomenology
Scientific paper
2010-05-14
Physics
High Energy Physics
High Energy Physics - Phenomenology
Presented at Recontres de Moriond EW 2010, 6-13 March 2010
Scientific paper
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
No associations
LandOfFree
Bayesian Study and Naturalness in MSSM Forecast for the LHC does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Bayesian Study and Naturalness in MSSM Forecast for the LHC, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Bayesian Study and Naturalness in MSSM Forecast for the LHC will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-519623