Speaker
Rahool Kumar Barman
(Oklahoma State University)
Description
We explore the projected sensitivity for SMEFT coefficients $\mathcal{C}_{tZ}$ and $\mathcal{C}_{tW}$ via single top $ pp \to tZj$ and top pair associated production $pp \to t\bar{t}Z$ channels with machine learning techniques, at the high luminosity LHC. Implications from new physics modifications in relevant background processes are also included. We identify the subset of observables that are most relevant towards constraining $\mathcal{C}_{tZ}$ and $\mathcal{C}_{tW}$.
Authors
Rahool Kumar Barman
(Oklahoma State University)
Ahmed Ismail
