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PRODID:-//LBNL Physics Division Research Progress Meetings - ECPv6.8.3//NONSGML v1.0//EN
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X-ORIGINAL-URL:https://rpm.physics.lbl.gov
X-WR-CALDESC:Events for LBNL Physics Division Research Progress Meetings
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DTSTART;TZID=UTC:20240118T160000
DTEND;TZID=UTC:20240118T170000
DTSTAMP:20260414T114144
CREATED:20240111T171253Z
LAST-MODIFIED:20240111T171253Z
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SUMMARY:Speaker: Joseph Bramante (Queen's University) - Title: Back to the Future With High Mass Dark Matter
DESCRIPTION:Research Progress Meeting \nDate: January 18\, 2024 \nTime: 4:00- 5:00 pm \nLocation: Sessler Conference Room- 50A-5132 [In-Person and HYBRID]  \nSpeaker: Joseph Bramante (Queen’s University) \nTitle: Back to the Future With High Mass Dark Matter \nAbstract: A number of theories predict that dark matter is a supermassive particle or composite state. Discovering dark matter in this high mass regime requires different approaches. I will survey recent developments\, including composite dark matter that produces unique signatures in underground experiments\, dark matter detectable through its fusion of nuclei in Antarctic ice\, and halo substructures heating neutron stars. I will also survey certain experiments from the 80s and 90s\, which still provide the best sensitivity to many varieties of high mass dark matter. \nJoin Zoom Meeting\nhttps://lbnl.zoom.us/j/98854322464?pwd=K2tKUm1VZjRlV1J5RHE3cXdHQzRxdz09\n\nMeeting ID: 988 5432 2464\n\nPasscode: 142239
URL:https://rpm.physics.lbl.gov/event/speaker-joseph-bramante-queens-university-title-back-to-the-future-with-high-mass-dark-matter/
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BEGIN:VEVENT
DTSTART;TZID=UTC:20240125T080000
DTEND;TZID=UTC:20240125T170000
DTSTAMP:20260414T114144
CREATED:20240119T204659Z
LAST-MODIFIED:20240119T211506Z
UID:2475-1706169600-1706202000@rpm.physics.lbl.gov
SUMMARY:Speaker: Philip Harris (MIT) - Title: You can observe a lot by just watching (new AI strategies for the LHC and beyond)
DESCRIPTION:Research Progress Meeting \nDate: January 25\, 2024 \nTime: 4:00- 5:00 pm \nLocation: Sessler Conference Room- 50A-5132 [In-Person and HYBRID]  \nSpeaker: Philip Harris (MIT) \nTitle: You can observe a lot by just watching (new AI strategies for the LHC and beyond) \nAbstract: With large amounts of data\, a Higgs boson discovery\, and world-leading constraints on an enormous amount of parameters and interactions\, the Large Hadron Collider has been a phenomenal tool. However\, it has reached the middle of life and is going through a mid-life crisis. We venture in a new direction to show how AI approaches are allowing us to do new\, unprecedented physics measurements\, leading to a mysterious deviation in Higgs boson production at high momentum. Moreover\, we show a new result built on contrastive learning and semi-supervised learning strategies where\, through physics-motivated choices\, we teach an AI to visualize many physics processes simultaneously\, allowing it to solve a variety of downstream tasks in one algorithm. The implications are far-reaching\, including a world-leading Higgs boson identification and new sensitive approaches in AI-based anomaly detection. Finally\, we show a dedicated path for the broad adoption of AI into all aspects of data processing at the Large Hadron Collider and other experiments\, including LIGO\, that are leading to faster\, better\, unprecedented results; the kind of results we believe can revitalize an aging accelerator. \nJoin Zoom Meeting\nhttps://lbnl.zoom.us/j/98854322464?pwd=K2tKUm1VZjRlV1J5RHE3cXdHQzRxdz09\n\nMeeting ID: 988 5432 2464\n\nPasscode: 142239
URL:https://rpm.physics.lbl.gov/event/speaker-philip-harris-mit-title-you-can-observe-a-lot-by-just-watching-new-ai-strategies-for-the-lhc-and-beyond/
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