4 papers
Probing Singlet Vector-Like Top Quarks in the Hadronic tZ Channel at the HL-LHC using Machine and Deep Learning Architectures
Haroon Sagheer, M. Tayyab Javaid, Ijaz Ahmed +3
In this work, we study the single production of a vector-like singlet top partner \( T \) at the 14 TeV HL-LHC in the channel \( pp \to T j \) with \( T \to t Z \), \( t \to b W \t…
Impact of Colliding Beams Helicity on the Production of Leptoquarks and Collider Experimental Parameters
M. Danial Farooq, M. Tayyab Javaid, Mudassar Hussain +3
Vector Leptoquarks (VLQs) have emerged as primary candidates for resolving discrepancies in the Standard Model, specifically within -meson decay channels and the anomalous magne…
Search for Vector-Like Singlet Top () Quark in a Future Muon-Proton () Collider at and TeV using Advanced Machine Learning Architectures
Haroon Sagheer, M. Tayyab Javaid, Mudassar Hussain +3
In this work, we explore the discovery potential of Vector-Like Singlet Top quarks () at a future collider with center-of-mass energies of 5.29, 6.48, and 9.16 TeV, provid…
Unraveling Dirac Magnetic Monopoles with Muon Beams at TeV Energies Using Machine Learning
M. Tayyab Javaid, Mudassar Hussain, Haroon Sagheer +3
The focus of this paper is the production of magnetic monopoles Drell-Yan and the Photon-Fusion mechanisms to generate velocity-dependent scalar, fermionic, and vector monopoles of…