Transformer Neural Networks in the Measurement of $t\bar{t}H$ Production in the $H\to b\bar{b}$ Decay Channel with ATLAS

Abstract

A measurement of Higgs boson production in association with a top quark pair in the bottom anti-bottom Higgs boson decay channel and leptonic final states is presented. The analysis uses $140{\mathrm{fb}}^{-1}$ of $13\mathrm{TeV}$ proton proton collision data collected by the ATLAS detector at the Large Hadron Collider. A particular focus is placed on the role played by transformer neural networks in discriminating signal and background processes via multi-class discriminants and in reconstructing the Higgs boson transverse momentum. These powerful multi-variate analysis techniques significantly improve the analysis over a previous measurement using the same dataset. Overall, an excess of 4.6 (5.4) standard deviations over the background-only hypothesis was observed (expected).

5 pages, 3 figures. Young Scientist Forum Talk at the 17th International Workshop on Top Quark Physics (Top2024), 22-27 September 2024. Accepted by SciPost

References in corpus (4)

• Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks
• Measurement of Higgs boson decay into $b$-quarks in associated production with a top-quark pair in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector
• Measurement of the associated production of a top-antitop-quark pair and a Higgs boson decaying into a $b\bar{b}$ pair in $pp$ collisions at $\sqrt{s}=13$ TeV using the ATLAS detector at the LHC
• Measurement of the $\mathrm{t}\bar{\mathrm{t}}$H and tH production rates in the H $\to$ $\mathrm{b}\bar{\mathrm{b}}$ decay channel using proton-proton collision data at $\sqrt{s}$ = 13 TeV