Sensitivities to New Resonance Couplings to $W$-Bosons at the LHC
Ying-nan Mao, Kechen Wang, Yiheng Xiong

TL;DR
This paper develops a machine-learning-based search strategy for detecting a new neutral particle coupling to W-bosons at the HL-LHC, significantly improving sensitivity over existing methods across a wide mass range.
Contribution
It introduces a novel multivariate analysis approach to enhance detection of W-coupled particles, focusing on tri-W final states at the HL-LHC.
Findings
Enhanced discovery sensitivity for masses above 300 GeV.
Significant improvement over existing CMS limits.
Effective probing of W-boson couplings to new particles.
Abstract
We propose a search strategy at the HL-LHC for a new neutral particle that couples to -bosons, using the process with a tri--boson final state. Focusing on events with two same-sign leptonic -boson decays into muons and a hadronically decaying -boson, our method leverages the enhanced signal-to-background discrimination achieved through a machine-learning-based multivariate analysis. Using the heavy photophobic axion-like particle (ALP) as a benchmark, we evaluate the discovery sensitivities on both production cross section times branching ratio and the coupling for the particle mass over a wide range of 170-3000 GeV at the HL-LHC with center-of-mass energy TeV and integrated luminosity …
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Taxonomy
TopicsParticle physics theoretical and experimental studies · Quantum Chromodynamics and Particle Interactions · High-Energy Particle Collisions Research
