Boosted four-top production at the LHC : a window to Randall-Sundrum or extended color symmetry

Scenarios seeking to address the issue of electroweak symmetry breaking often have heavy colored gauge bosons coupling preferentially to the top quark. Considering the bulk Randall-Sundrum as a typical example, we consider the prospects of the first Kaluza-Klein mode (\(G^{(1)}\)) of the gluon being...

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Bibliographic Details
Published in:arXiv.org 2024-04
Main Authors: Choudhury, Debajyoti, Deka, Kuldeep, Saini, Lalit Kumar
Format: Article
Language:English
Subjects:
Artificial neural networks
Bosons
Broken symmetry
Coupling
Large Hadron Collider
Machine learning
Quarks
Online Access:Get full text
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Summary:Scenarios seeking to address the issue of electroweak symmetry breaking often have heavy colored gauge bosons coupling preferentially to the top quark. Considering the bulk Randall-Sundrum as a typical example, we consider the prospects of the first Kaluza-Klein mode (\(G^{(1)}\)) of the gluon being produced at the LHC in association with a \(t \bar{t}\) pair. The enhanced coupling not only dictates that the dominant decay mode would be to a \(t \bar{t}\) pair, but also to a very large \(G^{(1)}\) width, necessitating the use of a renormalised \(G^{(1)}\) propagator. This, alongwith the presence of large backgrounds (specially \(t \bar{t} j j\)), renders a conventional cut-based analysis ineffective, yielding only marginal significances of only around 2\(\sigma\). The use of Machine Learning (ML) techniques alleviates this problem to a great extent. In particular, the use of Artificial Neural Networks helps us identify the most discriminating observables, thereby allowing a significance in excess of 4\(\sigma\) for \(G^{(1)}\) masses of \(\sim\) 4 TeV.
ISSN:2331-8422