Search for $t\bar{t}H/A \rightarrow t\bar{t}t\bar{t}$ production in proton-proton collisions at $\sqrt{s}=13$ TeV with the ATLAS detector
ATLAS Collaboration

TL;DR
This paper reports a search for heavy scalar or pseudo-scalar particles decaying into top-quark pairs, using advanced neural network techniques to improve background modeling and set limits on production cross-sections at 13 TeV proton-proton collisions.
Contribution
It introduces a novel multi-dimensional kinematic reweighting and a mass-parameterized graph neural network for enhanced signal discrimination in top-quark pair production searches.
Findings
Upper limits on production cross-section between 14 fb and 5.0 fb for masses 400-1000 GeV
Exclusion of certain tanβ values below 1.7 and 0.7 at 400 GeV and 1000 GeV
Constraints on models with color-octet scalars decaying into top pairs
Abstract
A search is presented for a heavy scalar () or pseudo-scalar () predicted by the two-Higgs-doublet models, where the is produced in association with a top-quark pair (), and with the decaying into a pair. Events are selected requiring exactly one or two opposite-charge electrons or muons. Data-driven corrections are applied to improve the modelling of the +jets background in the regime with high jet and -jet multiplicities. These include a novel multi-dimensional kinematic reweighting based on a neural network trained using data and simulations. An -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…
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