Göttingen 2025 – wissenschaftliches Programm
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T: Fachverband Teilchenphysik
T 45: Higgs Physics V (HH and Trilinear Coupling)
T 45.5: Vortrag
Mittwoch, 2. April 2025, 17:15–17:30, ZHG104
Streamlined Optimization Studies in the Search for Di-Higgs Boson Production in the bbτ+τ− channel at the ATLAS experiment — •Steffen Ludwig, Benedict Winter, Yingjie Wei, Christian Weiser, and Karl Jakobs — University of Freiburg, Institute of Physics, Freiburg im Breisgau, Germany
The Higgs boson has been studied at the Large Hadron Collider at CERN over the last decade with ever-increasing precision. However, one key quantity of electroweak symmetry breaking, the strength of the trilinear Higgs boson coupling, has not yet been observed due to the small Higgs pair production cross-section. A deviation of the coupling strength from the value predicted by the Standard Model would constitute an observation of new physics.
I will discuss prospects for improving the sensitivity of searches for the non-resonant production of Higgs boson pairs in the HH → bbτ+τ− channel by using Graph Neural Networks. The study is based on the latest measurement with the Run 2 dataset using 140 fb−1 of proton-proton collisions at a center-of-mass energy of 13 TeV, recorded by the ATLAS detector at CERN.
To study the benefits of Graph Neural Networks and transformer models on parts of the analysis, I developed an automatization and orchestration tool, called grid-pipeline, to conduct the existing analysis and its derivatives. The tool’s versatility enables the elementarization of complex computing workflows and the combination of resources from multiple computing sites. This allows for a significantly improved analysis optimization workflow and reduces the turn-around time.
Keywords: di-Higgs; self-coupling; bbtautau; workflow; pipeline