22–23 Oct 2022
University of Kansas
US/Central timezone

New physics searches in top production processes using machine learning

22 Oct 2022, 15:15
20m
2001 Malott Hall (University of Kansas)

2001 Malott Hall

University of Kansas

Department of Physics & Astronomy University of Kansas Lawrence, KS

Speaker

Roshan Mammen Abraham

Description

The angular moments for the Z boson can be used as analyzers for the underlying production dynamics for $Z$ associated top pair and single top processes. We show that the angular moments for the $Z$ boson can boost new physics sensitivity in the $t\bar{t}Z$ processes at the high luminosity LHC (HL-LHC), using machine learning techniques. We present the HL-LHC sensitivity to new physics effects parametrized in terms of the Standard Model Effective Field theory framework.

Author

Roshan Mammen Abraham

Presentation materials