BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//LBNL Physics Division Research Progress Meetings - ECPv6.8.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:LBNL Physics Division Research Progress Meetings
X-ORIGINAL-URL:https://rpm.physics.lbl.gov
X-WR-CALDESC:Events for LBNL Physics Division Research Progress Meetings
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20250101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20250617T160000
DTEND;TZID=UTC:20250617T170000
DTSTAMP:20260414T213215
CREATED:20250612T133852Z
LAST-MODIFIED:20250612T133852Z
UID:2858-1750176000-1750179600@rpm.physics.lbl.gov
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/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250626T160000
DTEND;TZID=UTC:20250626T170000
DTSTAMP:20260414T213215
CREATED:20250602T203920Z
LAST-MODIFIED:20250602T203920Z
UID:2852-1750953600-1750957200@rpm.physics.lbl.gov
SUMMARY:Speaker: Bob Hirosky (Virginia) - Title: High resolution calorimetry from the LHC to a future Higgs Factory
DESCRIPTION:Research Progress Meeting \nDate: June 26\, 2025 \nTime: 4:00- 5:00 pm \nLocation: Sessler Conference Room- 50A-5132 [In-Person and HYBRID]  \nSpeaker: Bob Hirosky (Virginia) \nTitle: High resolution calorimetry from the LHC to a future Higgs Factory \nAbstract: High Energy Physics experiments employ calorimeters using various technologies for the measurement of high energy particles. This talk will review the detector physics and some challenges of precision measurements with the CMS homogeneous crystal calorimeters and discuss preparations to achieve the physics goals of the High Luminonisty LHC.\nLooking forward to a future Higgs Factory I will summarize some of the international planning efforts for new detector concepts\, including the CalVision/MaxiCC R&D programs which aim to produce a new\, hybrid dual-readout calorimeter to achieve state-of-the-art calorimetric measurements of all final state particles. \nhttps://lbnl.zoom.us/j/98854322464?pwd=K2tKUm1VZjRlV1J5RHE3cXdHQzRxdz09 \nMeeting ID: 988 5432 2464\n\nPasscode: 142239
URL:https://rpm.physics.lbl.gov/event/speaker-bob-hirosky-virginia-title-high-resolution-calorimetry-from-the-lhc-to-a-future-higgs-factory/
END:VEVENT
END:VCALENDAR