Speaker
Description
We explore the projected sensitivity for Standard Model Effective Field Theory (SMEFT) coefficients $\mathcal{C}_{tZ}$ and $\mathcal{C}_{tW}$ via associated single top production $ pp \to tZj$ and top pair production $pp \to t\bar{t}Z$ channels with machine learning techniques, at the high luminosity LHC (HL-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 $\mathcal{C}_{tW}$. Differential measurements in $pp \to t\bar{t}Z$ and $pp \to tZj$ channels have only recently begun and are expected to become more accessible at the upcoming runs of the LHC. We show that complementing cross-section measurements with kinematic information can boost the sensitivity for $\mathcal{C}_{tZ}$ and $\mathcal{C}_{tW}$ at the HL-LHC.
