Heidelberg 2022 – scientific programme

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T: Fachverband Teilchenphysik

T 35: Higgs Boson: Associated Production 1

T 35.8: Talk

Tuesday, March 22, 2022, 18:00–18:15, T-H20

Higgs Boson Mass Reconstruction in the tH Multi-lepton Channel Using ATLAS Data — Igor Boyko¹, Adam Herold², Nazim Huseynov¹, Lars Kolk³, Jan Kybic², André Sopczak², Petr Urban², and •Cyrus Walther³ — ¹JINR Dubna — ²CTU in Prague — ³TU Dortmund

The Higgs boson mass is reconstructed in single top production in association with a Higgs boson, tH, using a regression neural network approach. The reconstruction of the Higgs boson mass is expected to show discrimination to background processes. A focus lies on the lepton association. For the lepton association, a classification neural network is used. Hyperparameter optimization, as well as feature importance studies, are applied in order to increase the neural network performance. For the Higgs boson mass reconstruction, a hyperparameter optimization is also performed. The performance of the network is tested on tH signal and tZ background simulations.