Probing axion-like particles coupling to gluons at the LHC
Filmon Andom Ghebretinsaea, Zeren Simon Wang, Kechen Wang

TL;DR
This study investigates the detection prospects of axion-like particles (ALPs) coupling to gluons at the LHC, including both prompt and displaced jet signatures, using machine learning techniques to improve sensitivity and explore new parameter space regions.
Contribution
It introduces a comprehensive analysis of ALPs with gluon coupling at the LHC, incorporating displaced jets and advanced multivariate methods for the first time.
Findings
Projected upper limits on coupling parameter $C_{ ilde{G}}/f_a$ around $1.0 imes 10^{-2} \,\, \mathrm{TeV^{-1}}$ for $m_a \sim 500$ GeV.
ALP mass can be reconstructed and measured below about 1 TeV at the HL-LHC.
Significant new parameter space regions are accessible with the proposed analysis.
Abstract
Assuming ALPs couple to gluons only, they can be produced via the process and decay into two jets at the LHC. When the coupling parameter, , is small, the lifetime of ALPs can be long enough leading to displaced final state jets. In this paper, we consider the signal including both the prompt and long-lived cases of ALPs by employing a specialized Delphes module to handle displaced jets. Relevant background processes are generated and simulated at the detector level, and multivariate analyses based on machine-learning are performed to discriminate signal and background events and achieve the best sensitivities. Based on the data accumulated for this study, we forecast the expected upper limits on for ALP mass in the range 52300 GeV at 2-, 3- and 5- significances at the High Luminosity-LHC with 14 TeV center-of-mass…
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