Mr
Nicki Bornhauser
(Uni Bonn)
01/10/2013, 14:10
In most extensions of the Standard Model the relation mapping the experimentally measurable quantities onto the parameter values is unknown. In this talk the ability of artificial neural networks to find this unknown relation is demonstrated, by determining the unknown parameters of the CMSSM from quantities that can be measured at the LHC. However, the method should also work for many other...
Bjoern Sarrazin
(University of Bonn)
01/10/2013, 14:50
The non-observation of SUSY at the LHC and the discovery of a Higgs-like particle at a mass of about 125 GeV together with results from low energy measurements and cosmology have put constrained supersymmetry under pressure. Performing global fits with the framework Fittino we find that the fit quality of the CMSSM is still in a well acceptable range, when Higgs mass and rate measurements at...
