Research Progress Meeting
Date: June 17, 2025
Time: 4:00- 5:00 pm
Location: Sessler Conference Room- 50A-5132 [In-Person and HYBRID]
Speaker: Ryan Roberts (LBNL)
Title: Measuring the Top Yukawa Coupling with Graph Neural Networks
Abstract: 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 the observation of four-top production, achieved with a graph neural network, and subsequent constraints on the Higgs boson’s coupling to top quarks and the total width of the Higgs boson. The interplay between physics objectives and developments in machine learning techniques drives the development of new strategies to maximize the physics output of the LHC program, including the sensitivity of future top Yukawa measurements.
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https://lbnl.zoom.us/j/95679892182?pwd=RU5xU2dDRFNabnR1U3pQMklkYWFIdz09
Meeting ID: 956 7989 2182
Passcode: 169037