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Karlsruhe 2024 – scientific programme

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T: Fachverband Teilchenphysik

T 46: Di-Higgs 1 (bbττ)

Tuesday, March 5, 2024, 16:00–18:00, Geb. 30.41: HS 1

16:00 T 46.1 Application of Deep Sets Neural Networks for the bbττ+ Di-Higgs Analysis with the CMS Experiment — •Stella Felice Schaefer, Peter Schleper, Philip Daniel Keicher, and Bogdan Wiederspan
  16:15 T 46.2 The contribution has been withdrawn.
16:30 T 46.3 A neural network based regression of the neutrinos in H→ττ decays in the context of the CMS resonant HH→bbττ analysisPhilip Keicher, •Tobias Kramer, Marcel Rieger, and Peter Schleper
16:45 T 46.4 Streamlined optimization studies in the search for di-Higgs boson production — •Steffen Ludwig, Karsten Köneke, Christian Weiser, and Karl Jakobs
17:00 T 46.5 Improving the sensitivity to the Higgs boson self-coupling in the HHbbττ channel with the ATLAS experiment — •Katharina Häußler, Christian Weiser, Karsten Köneke, and Karl Jakobs
17:15 T 46.6 High Level Trigger Optimization Studies in the Atlas search for Higgs Boson Pair Production in the HHbb τhad+ τhad channel — •Athul Dev Sudhakar Ponnu, Stan Lai, and Andrés Melo
17:30 T 46.7 Separation of HH and HZ final states Using Spin Correlations — •Celine Stauch, Christoph Ames, Otmar Biebel, Youn Jun Cho, Stefanie Götz, Edis Hrustanbegovic, Lars Linden, and Lukas von Stumpfeldt
17:45 T 46.8 Methods for the simulation of the Z+jets process at CMSAlena Dodonova, Ming-Yan Lee, •Andrey Pozdnyakov, Uttiya Sarkar, Alexander Schmidt, and Valentyn Vaulin
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