T 46: Di-Higgs 1 (bbττ)
Dienstag, 5. März 2024, 16:00–18:00, Geb. 30.41: HS 1
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16:00 |
T 46.1 |
Application of Deep Sets Neural Networks for the bbτ−τ+ Di-Higgs Analysis with the CMS Experiment — •Stella Felice Schaefer, Peter Schleper, Philip Daniel Keicher, and Bogdan Wiederspan
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16:15 |
T 46.2 |
The contribution has been withdrawn.
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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 analysis — Philip Keicher, •Tobias Kramer, Marcel Rieger, and Peter Schleper
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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
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17:00 |
T 46.5 |
Improving the sensitivity to the Higgs boson self-coupling in the HH→ bbττ channel with the ATLAS experiment — •Katharina Häußler, Christian Weiser, Karsten Köneke, and Karl Jakobs
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17:15 |
T 46.6 |
High Level Trigger Optimization Studies in the Atlas search for Higgs Boson Pair Production in the HH → bb τhad+ τhad− channel — •Athul Dev Sudhakar Ponnu, Stan Lai, and Andrés Melo
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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
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17:45 |
T 46.8 |
Methods for the simulation of the Z+jets process at CMS — Alena Dodonova, Ming-Yan Lee, •Andrey Pozdnyakov, Uttiya Sarkar, Alexander Schmidt, and Valentyn Vaulin
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