SMuK 2023 – scientific programme

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T: Fachverband Teilchenphysik

T 30: Higgs Charm, Di-Higgs

T 30.4: Talk

Tuesday, March 21, 2023, 17:45–18:00, HSZ/0105

Discrimination of Di-Higgs and Higgs-Z Boson Final States Using Neural Networks — •Lars Linden, Otmar Biebel, Christoph Ames, and Celine Stauch — Ludwig-Maximilians-Universität, München

Precise measurements of Higgs boson pair production are of significant importance for new physics searches and determining the Higgs potential’s exact shape. These processes have small cross-section however, making them exceptionally rare. As a result, neural networks are used to improve the experimental sensitivity for these processes. The employed network uses general event jet information and specific variables sensitive to di-Higgs production for event classification. This talk presents a network structure for distinguishing gg → HH from the important background process gg → HZ and its respective sensitive variables.