Speaker
Description
A model based on a $U(1)_{T 3R}$ extension of the Standard Model can address the mass hierarchy between the third and the first two generations of fermions, explain thermal dark matter abundance, and the muon $g - 2$ and $R_{K^{(*)}}$ anomalies. The model contains a light scalar boson $\phi'$ and a heavy vector-like quark $\chi_u$ that can be probed at CERN's Large Hadron Collider (LHC). We perform a phenomenology study on the production of $\phi'$ and ${\chi}_u$ particles from proton-proton $(pp)$ collisions at the LHC at $\sqrt{s}=13$ TeV primarily through $g{-g}$ and $t{-\chi_u}$ fusion. We work adopt a phenomenological framework, an effective field theory approach, in which the $\chi_u$ and $\phi'$ masses are free parameters and consider the final states of the $\chi_u$ decaying to $b$-quarks, muons, and MET from neutrinos and the $\phi'$ decaying to $\mu^+\mu^-$. The analysis is performed using machine learning algorithms, over traditional methods, to maximize the signal sensitivity with integrated luminosities of of $150, 300$, and $3000$ fb$^{-1}$. Further, we note the proposed methodology can be a key mode for discovery over a large mass range, including low masses, traditionally considered difficult due to experimental constraints.
