Revisiting universal extra-dimension model with gravity mediated decays

A bstract We explore the collider phenomenology of the fat-brane realization of the Minimal Universal Extra Dimension (mUED) model, where Standard Model (SM) fields propagate in a small extra dimension while gravity accesses additional large extra dimensions. This configuration allows for gravity-mediated decay (GMD) of Kaluza-Klein (KK) particles, resulting in unique final states with hard photons, jets, massive SM bosons, and large missing transverse energy due to invisible KK gravitons. We derive updated constraints on the model’s parameter space by recasting ATLAS mono-photon, di-photon, and multi-jet search results using 139 inverse femtobern of integrated luminosity data. Recognizing that current LHC search strategies are tailored for supersymmetric scenarios and may not fully capture the distinct signatures, we propose optimized strategies using machine learning algorithms to tag boosted SM bosons and enhance signal discrimination against SM backgrounds. These methods improve sensitivity to fat-brane mUED signatures and offer promising prospects for probing this model in future LHC runs.

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Publication Details

Journal
Journal of High Energy Physics
Published
2025-04-09
DOI
https://doi.org/10.1007/jhep04(2025)063
Primary Topic
Black Holes and Theoretical Physics
Type
article
Field-Weighted Citation Impact
0.00

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article

Revisiting universal extra-dimension model with gravity mediated decays

R. Sahu, Kirtiman Ghosh, Katri Huitu
Journal of High Energy Physics
Black Holes and Theoretical Physics
article

Revisiting universal extra-dimension model with gravity mediated decays

R. Sahu, Kirtiman Ghosh, Katri Huitu
article en

Abstract

A bstract We explore the collider phenomenology of the fat-brane realization of the Minimal Universal Extra Dimension (mUED) model, where Standard Model (SM) fields propagate in a small extra dimension while gravity accesses additional large extra dimensions. This configuration allows for gravity-mediated decay (GMD) of Kaluza-Klein (KK) particles, resulting in unique final states with hard photons, jets, massive SM bosons, and large missing transverse energy due to invisible KK gravitons. We derive updated constraints on the model’s parameter space by recasting ATLAS mono-photon, di-photon, and multi-jet search results using 139 inverse femtobern of integrated luminosity data. Recognizing that current LHC search strategies are tailored for supersymmetric scenarios and may not fully capture the distinct signatures, we propose optimized strategies using machine learning algorithms to tag boosted SM bosons and enhance signal discrimination against SM backgrounds. These methods improve sensitivity to fat-brane mUED signatures and offer promising prospects for probing this model in future LHC runs.

Journal of High Energy PhysicsVol. 2025(4)
University of Helsinki (FI), Homi Bhabha National Institute (IN), Institute of Physics, Bhubaneshwar (IN)
Helsingin Yliopisto, Science and Engineering Research Board
Openalex Percentile: Top 96%
Black Holes and Theoretical Physics
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