SFB 676 Colloquium

Top, Higgs & Long Life: Deep Learning LHC Physics

by Prof. Gregor Kasieczka (Universität Hamburg)

Wednesday, November 29, 2017 from to (Europe/Berlin)
at DESY Hamburg ( Room 2, Building 2a )
While the discovery of the Higgs boson in 2012 marked the completion of the Standard Model as we know it today, important questions such as the nature of dark matter, the origin of the matter-antimatter imbalance, the stability of the electroweak vacuum, and the relative lightness of the Higgs boson remain open. 

On the one hand, a measurement of the coupling between the top quark and the Higgs boson - the top Yukawa coupling - is an indirect yet promising approach to resolve some of these questions as new theories beyond the Standard Model are expected to preferentially couple to the top quark. On the other hand, the potential parameter space for coloured partners of the top quark has already been severely constrained by searches for supersymmetry and other theories. Color-neutral top partners predicted by hidden sector models offer a way out and can be discovered at the LHC using the striking signature of long-lived particles.

When discussing results for the determination of the top Yukawa coupling with CMS and planned studies targeting long-lived particles we pay particular attention to algorithmic techniques used for the reconstruction of heavy resonances, especially recent developments based on deep learning.