Speaker
Jason Aebischer
(University of Zurich)
Description
Short-distance (SD) effects in b→ s ll transitions can give large corrections to the SM prediction. They can however not be computed from first principles. In my talk I will present a neural network, that takes such SD effects into account, when inferring the Wilson coefficients C9 and C10 from b→ s ll angular observables. The model is based on likelihood-free inference and allows to put stronger bounds on new phyiscs scenarios than conventional global fits.
Author
Jason Aebischer
(University of Zurich)
