Prospects for studying the $WH\gamma$ process in $pp$ collisions at the LHC
Youpeng Wu, Jie Xiao, Andrew Michael Levin, Qiang Li

TL;DR
This paper investigates the potential to observe the rare $WH\gamma$ process at the LHC, using simulations and machine learning techniques, projecting increased significance with future collider luminosity.
Contribution
It provides a detailed simulation-based analysis of the $WH\gamma$ process, employing boosted decision trees to optimize detection prospects at current and future LHC runs.
Findings
Expected significance of 0.63$\sigma$ at current luminosity
Projected significance of 1.64$\sigma$ at HL-LHC
Demonstrates the feasibility of studying multiboson interactions involving the Higgs
Abstract
The Standard Model of particle physics, though remarkably successful, leaves open several major questions that continue to motivate searches for new phenomena. Multiboson interactions involving the Higgs boson are of special interest as probes of the electroweak Lagrangian where potential new physics may be hiding. In this work, we present a study of the simultaneous production of a W boson, a Higgs bosons and a photon in proton-proton collisions at the Large Hadron Collider. Monte Carlo simulation is performed to model both the signal and the background processes, and detector effects are included according to CMS specifications. Boosted decision trees are employed to optimize the event selection and enhance signal-background discrimination. We estimate that with an integrated luminosity of 440~, the expected significance for the process is 0.63,…
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Taxonomy
TopicsParticle physics theoretical and experimental studies · High-Energy Particle Collisions Research · Particle Detector Development and Performance
