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Search for t ¯t H/ A → t ¯t t ¯t production in proton–proton collisions at √s = 13 TeV with the ATLAS detector

ContributorsATLAS Collaboration
Publication date2025
First online date2025-05-26
Abstract

A search is presented for a heavy scalar (H) or pseudo-scalar (A) predicted by the two-Higgs-doublet models, where the H/A is produced in association with a top-quark pair $(t\bar{t}H/A),$ and with the H/A decaying into a $t\bar{t}$ pair. The full LHC Run 2 proton–proton collision data collected by the ATLAS experiment is used, corresponding to an integrated luminosity of $139~\text {fb}^{-1}.$ Events are selected requiring exactly one or two opposite-charge electrons or muons. Data-driven corrections are applied to improve the modelling of the $t\bar{t}$+jets background in the regime with high jet and b-jet multiplicities. These include a novel multi-dimensional kinematic reweighting based on a neural network trained using data and simulations. An H/A-mass parameterised graph neural network is trained to optimise the signal-to-background discrimination. In combination with the previous search performed by the ATLAS Collaboration in the multilepton final state, the observed upper limits on the $t\bar{t}H/A \rightarrow t\bar{t}t\bar{t}$ production cross-section at 95% confidence level range between 14 fb and 5.0 fb for an H/A with mass between 400 $\text {GeV}$ and 1000 $\text {GeV}$, respectively. Assuming that both the H and A contribute to the $t\bar{t}t\bar{t}$ cross-section, $\tan \beta $ values below 1.7 or 0.7 are excluded for a mass of 400 $\text {GeV}$ or 1000 $\text {GeV}$, respectively. The results are also used to constrain a model predicting the pair production of a colour-octet scalar, with the scalar decaying into a $t\bar{t}$ pair.

Citation (ISO format)
ATLAS Collaboration. Search for t ¯t H/ A → t ¯t t ¯t production in proton–proton collisions at √s = 13 TeV with the ATLAS detector. In: European physical journal. C, Particles and fields, 2025, vol. 85, n° 5. doi: 10.1140/epjc/s10052-025-14041-z
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Journal ISSN1434-6044
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