197 citations · 785 across the 40 of their papers we have counts for
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hep-ph2025
Deep learning approaches to top FCNC couplings to photons at the LHC
Benjamin Fuks, Sumit K. Garg, A. Hammad +1
We investigate the sensitivity of the LHC to flavour-changing neutral current interactions involving the top quark and a photon using a model-independent effective field theory fra…
hep-ph2025★ 1 cited
Progress in violating top-Higgs coupling at the LHC with Machine Learning
A. Hammad, Adil Jueid
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), particular…