Measuring the Top Yukawa Coupling with Graph Neural Networks

Experimental Particle Physics seminar

Measuring the Top Yukawa Coupling with Graph Neural Networks

Event details

The top Yukawa coupling is a key prediction of the Standard Model and has been relatively inaccessible before Run-2 at the LHC. It has ties to many of the big questions surrounding the SM, including the fermion mass hierarchy, vacuum stability, the hierarchy problem, and the nature of the Higgs sector. Sensitive final states, including top-associated Higgs production and four-top production, have complex signatures which are natural targets for advanced machine learning techniques such as graph neural networks (GNNs). This talk presents a summary of the latest top Yukawa measurements in ATLAS and applications of GNNs to collider physics with a focus on the observation of four-top production and subsequent constraints on the Higgs boson's coupling to top quarks and the total width of the Higgs boson.

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The experimental particle physics seminar series invites speakers from all over Europe to discuss the latest developments at the LHC, accelerator and non-accelerator based neutrino physics, hardware R&D and astroparticle physics. .

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