Progress in CP violating top-Higgs coupling at the LHC with Machine Learning

A. Hammad, Adil Jueid,
Progress in CP violating top-Higgs coupling at the LHC with Machine Learning,
Nuclear Physics B,
2025,
117137,
ISSN 0550-3213,
https://doi.org/10.1016/j.nuclphysb.2025.117137.
(https://www.sciencedirect.com/science/article/pii/S0550321325003463)
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 CP 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 CP 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.
Keywords: CP Violation; Large Hadron Collider; Higgs Boson; Machine Learning