Author/Authors :
Wolfgang Altmannshofer، نويسنده , , Andrzej J. Buras، نويسنده , , Stefania Gori، نويسنده , , Paride Paradisi، نويسنده , , David M. Straub، نويسنده ,
Abstract :
We perform an extensive study of FCNC and CP Violation within Supersymmetric (SUSY) theories with particular emphasis put on processes governed by image transitions and of their correlations with processes governed by image transitions, image transitions, image oscillations, lepton flavour violating decays, electric dipole moments and image. We first perform a comprehensive model-independent analysis of image observables and we emphasize the usefulness of the image plane in exhibiting transparently various tensions in the present UT analyses. Secondly, we consider a number of SUSY models: the general MSSM, a flavour-blind MSSM, the MSSM with Minimal Flavour Violation as well as SUSY flavour models based on Abelian and non-Abelian flavour symmetries that show representative flavour structures in the soft SUSY breaking terms. We show how the characteristic patterns of correlations among the considered flavour observables allow to distinguish between these different SUSY scenarios. Of particular importance are the correlations between the CP asymmetry image and image, between the anomalies in image and image, between image and image, between image and image and also those involving lepton flavour violating decays. In our analysis, the presence of right-handed currents and of the double Higgs penguin contributions to image mixing plays a very important role. We propose a “DNA-Flavour Test” of NP models including Supersymmetry, the Littlest Higgs model with T-parity and the Randall–Sundrum model with custodial protection, with the aim of showing a tool to distinguish between these NP scenarios, once additional data on flavour-changing processes become available. As a byproduct, we present the SM prediction for image that follows solely from an analytical formula for this branching ratio in terms of image and image asymmetry and which does not involve image and image uncertainties.