Progress in $\mathcal{C}\mathcal{P}$ violating top-Higgs coupling at the LHC with Machine Learning

Abstract

A precise measurement of the top-Higgs coupling is essential in particle physics, as it offers a powerful probe of potential new physics beyond the Standard Model (BSM), particularly scenarios involving $\mathcal{C}\mathcal{P}$ violation, which is a key condition in addressing the problem of baryon asymmetry of the universe. In this article, we review the recent progress in the studies of the the top-Higgs coupling at the Large Hadron Collider (LHC). We briefly highlight the recent Machine Learning (ML) algorithms being used and their role in constraining the $\mathcal{C}\mathcal{P}$ phase of the top-Higgs coupling with an emphasis on the future potential of beyond-the-traditional methods such as transformers and heterogeneous graphs in these studies.

19 pages, 4 figures. Invited Review