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PRODID:-//LBNL Physics Division Research Progress Meetings - ECPv6.8.3//NONSGML v1.0//EN
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X-WR-CALDESC:Events for LBNL Physics Division Research Progress Meetings
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TZOFFSETFROM:+0000
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DTSTART:20220101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20221117T120000
DTEND;TZID=UTC:20221117T130000
DTSTAMP:20260421T184757
CREATED:20221115T214553Z
LAST-MODIFIED:20221117T012634Z
UID:2007-1668686400-1668690000@rpm.physics.lbl.gov
SUMMARY:SPEAKER: Yuan-Tang Chou (University of Massachusetts\, Amherst) - TITLE: Searches for Exotic Higgs Boson Decays with Modern Machine-Learning Methods at the LHC
DESCRIPTION:THIS RPM WILL BE AT 12:00 P.M. NOON – November 17\, 2022 \nTITLE – Searches for Exotic Higgs Boson Decays with Modern Machine-Learning Methods at the LHC  \nABSTRACT – Advances in machine learning have shifted the paradigm in how we analyze data in High Energy Collider Physics. Particle identification and event reconstruction are areas where significant improvements have been possible by using state-of-art machine-learning methods with domain knowledge. In this talk\, I will discuss how we adopt novel approaches that utilize low-level detector information and embed underlying symmetry in machine-learning models to search for physics beyond the Standard Model with the ATLAS experiment at the LHC. \nJoin Zoom Meeting\nhttps://lbnl.zoom.us/j/91782268585 \nMeeting ID: 917 8226 8585 \nOne tap mobile\n+1-669-900-6833\,\,91782268585# US (San Jose)
URL:https://rpm.physics.lbl.gov/event/speaker-yuan-tang-chou-university-of-massachusetts-amherst-title-searches-for-exotic-higgs-boson-decays-with-modern-machine-learning-methods-at-the-lhc/
LOCATION:HYBRID 50A-5132 (Sessler Conference Room)\, https://lbnl.zoom.us/j/91782268585\, 50A-5132
ORGANIZER;CN="Patrick McDonald":MAILTO:pvmcdonald@lbl.gov
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