SMuK 2023 – scientific programme
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T: Fachverband Teilchenphysik
T 7: Higgs, Di-Higgs I
T 7.3: Talk
Monday, March 20, 2023, 17:00–17:15, HSZ/0105
The reconstruction of the ττ invariant mass in H → ττ decays as a machine learning task — •Moritz Molch, Ulrich Husemann, Nikita Shadskiy, Lars Sowa, Michael Waßmer, and Roger Wolf — Institute of Experimental Particle Physics (ETP), Karlsruhe Institute of Technology
Analyses that deal with Higgs boson decays into a pair of τ leptons often rely on a good reconstruction of the ττ invariant mass. As the decay of two τ leptons involves at least two neutrinos, the reconstruction of mττ is a challenging part of such analyses.
In many analyses at the CMS experiment the SVfit algorithm, which is a likelihood method on an event-by-event basis, is utilized for that task. First studies have shown that mττ can also be reconstructed using a deep neural network.
In this talk the applicability of deep neural networks to reconstruct mττ is further investigated and a comparison to current methods is made.