Dortmund 2021 – scientific programme
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T: Fachverband Teilchenphysik
T 84: Associated Higgs production and Higgs quantum numbers II
T 84.2: Talk
Thursday, March 18, 2021, 16:15–16:30, Ti
Reconstruction of advanced neural network approaches for ttH and development towards tH event analysis — Nazim Huseynov1, Lars Kolk2, André Sopczak3, Petr Urban3, and •Cyrus Walther2 — 1JINR Dubna — 2TU Dortmund — 3CTU in Prague
The reconstruction of ttH events is performed using advanced machine learning approaches. The focus is on the Higgs boson mass reconstruction. The study is first based on generated truth information. The analysis is further developed towards the tH production process. Different neural network architectures are applied and the performance is tested. Optimizations of the machine learning algorithms are performed. The precision of the Higgs boson mass reconstruction is compared between the ttH and tH production processes. The aim is to apply the developed algorithms on a data set based on full ATLAS detector simulation.