arXiv · 2502.16630
Probing a Quarkophobic ${\mathbf{W}}^\prime$ at the High-Luminosity LHC via Vector Boson Fusion and Lorentz-Equivariant Point Cloud Learning
Abstract
The addition of a heavy charged vector gauge boson ${\mathbf{W}}^\prime$ to the Standard Model (SM) with negligible quark couplings ("quarkophobic") and triple gauge couplings can address issues with the SM, such as the B-meson anomalies and recent discrepancies in the W boson mass measurements. We present a phenomenology study probing ${\mathbf{W}}^\prime$ production through weak boson fusion in proton-proton collisions at the Large Hadron Collider. We operate under a simplified model with a large ${\mathbf{W}}^\prime$ decay width and consider final states with two jets, large missing transverse momentum, and one light lepton. Notably, we use point cloud learning for the first time in a BSM search$\unicode{x2014}$specifically, a novel Lorentz-Equivariant Geometric Algebra Transformer$\unicode{x2014}$providing significant improvement in signal sensitivity compared to traditional methods.
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U. S. Qureshi, A. Gurrola, J. D. Ruiz-Álvarez. 2025-02-23. Probing a Quarkophobic ${\mathbf{W}}^\prime$ at the High-Luminosity LHC via Vector Boson Fusion and Lorentz-Equivariant Point Cloud Learning. https://arxiv.org/abs/2502.16630
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