M. Farooq

collaborators

3 papers

hep-ph2026

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 $B$ -meson decay channels and the anomalous magne…

hep-ph2026

Search for Vector-Like Singlet Top ( $T$ ) Quark in a Future Muon-Proton ( $I^¼ p$ ) Collider at $s = 5.29, 6.48,$ and $9.16$ 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 ( $T$ ) at a future $I^¼ p$ collider with center-of-mass energies of 5.29, 6.48, and 9.16 TeV, provid…

hep-ph2026

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…

Impact of Colliding Beams Helicity on the Production of Leptoquarks and Collider Experimental Parameters

Search for Vector-Like Singlet Top (T) Quark in a Future Muon-Proton (I^¼p) Collider at s​=5.29,6.48, and 9.16 TeV using Advanced Machine Learning Architectures

Unraveling Dirac Magnetic Monopoles with Muon Beams at TeV Energies Using Machine Learning

Search for Vector-Like Singlet Top ( $T$ ) Quark in a Future Muon-Proton ( $I^¼ p$ ) Collider at $s = 5.29, 6.48,$ and $9.16$ TeV using Advanced Machine Learning Architectures