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DTSTART:20250101T000000
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DTSTART;TZID=UTC:20250313T160000
DTEND;TZID=UTC:20250313T170000
DTSTAMP:20260414T151532
CREATED:20250310T164818Z
LAST-MODIFIED:20250310T215828Z
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SUMMARY:Speaker: Isobel Ojalvo (Princeton) - Title: Real-time Anomaly Detection at the CMS Experiment
DESCRIPTION:Research Progress Meeting \nDate: March 13\, 2025 \nTime: 4:00- 5:00 pm \nLocation: Sessler Conference Room- 50A-5132 [In-Person and HYBRID]  \nSpeaker: Isobel Ojalvo (Princeton) \nTitle: Real-time Anomaly Detection at the CMS Experiment \nAbstract: During Run-3 at the LHC\, the search for new physics has significantly expanded. Development of advanced algorithms for the Level-1 trigger\, encompassing techniques such as Long-Lived Particles\, Data Scouting\, and Muon showers to ensure broad data selection at the CMS experiment. Here\, we introduce CICADA (Calorimeter Image Convolutional Anomaly Detection Algorithm)\, a state-of-the-art\, fully autonomous AI algorithm engineered to process LHC event data in real-time and trigger on anomalous topologies. Operating directly on the rawest recorded data – the calorimeter energy deposits – CICADA demonstrates sensitivity to Standard Model processes. It unveils potential for Beyond the Standard Model Physics\, including the exploration of previously untapped phase space at the LHC. We will also delve into future prospects for triggering at the CMS experiment during the HL-LHC era. \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-isobel-oljavo-princeton-title-tba/
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