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DTSTART:20250101T000000
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DTSTART;TZID=UTC:20250617T160000
DTEND;TZID=UTC:20250617T170000
DTSTAMP:20260414T232422
CREATED:20250612T133852Z
LAST-MODIFIED:20250612T133852Z
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SUMMARY:Speaker: Ryan Roberts (LBNL) - Title: Measuring the Top Yukawa Coupling with Graph Neural Networks
DESCRIPTION:Research Progress Meeting \nDate: June 17\, 2025 \nTime: 4:00- 5:00 pm \nLocation: Sessler Conference Room- 50A-5132 [In-Person and HYBRID]  \nSpeaker: Ryan Roberts (LBNL) \nTitle: Measuring the Top Yukawa Coupling with Graph Neural Networks \nAbstract: 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.\n \nJoin Zoom Meeting\nhttps://lbnl.zoom.us/j/95679892182?pwd=RU5xU2dDRFNabnR1U3pQMklkYWFIdz09 \nMeeting ID: 956 7989 2182 \nPasscode: 169037
URL:https://rpm.physics.lbl.gov/event/speaker-ryan-roberts-lbnl-title-measuring-the-top-yukawa-coupling-with-graph-neural-networks/
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