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| Format: | Preprint |
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2024
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| Online-Zugang: | https://arxiv.org/abs/2404.04409 |
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| _version_ | 1866909162312564736 |
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| author | Choudhury, Debajyoti Deka, Kuldeep Saini, Lalit Kumar |
| author_facet | Choudhury, Debajyoti Deka, Kuldeep Saini, Lalit Kumar |
| contents | 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$σ$. 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$σ$ for $G^{(1)}$ masses of $\sim$ 4 TeV. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_04409 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Boosted four-top production at the LHC : a window to Randall-Sundrum or extended color symmetry Choudhury, Debajyoti Deka, Kuldeep Saini, Lalit Kumar High Energy Physics - Phenomenology High Energy Physics - Theory 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$σ$. 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$σ$ for $G^{(1)}$ masses of $\sim$ 4 TeV. |
| title | Boosted four-top production at the LHC : a window to Randall-Sundrum or extended color symmetry |
| topic | High Energy Physics - Phenomenology High Energy Physics - Theory |
| url | https://arxiv.org/abs/2404.04409 |