3 papers
astro-ph.HE2026
Potential periodic signals in blazars: significance, forecasting and deep learning
M. A. Hashad, A. Hammad, Amr A. EL-Zant
Blazars exhibit variable emission on diverse timescales. Some light curves show signs of quasiperiodic oscillations (QPOs), which may encode clues regarding the physical processes…
hep-ph2026
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
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…