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620 1653 9188 (Passcode: 247965)
Abstract - With more data coming from LHC collisions, detailed measurements of Higgs boson properties allow us to probe whether it communicates with the unknown and/or undiscovered sector beyond the Standard Model. One motivation is weakly interacting dark matter, which is invisible to the detecting apparatus, through a Higgs portal. I will discuss the latest ATLAS results of the search for Higgs decaying to invisible particles [2202.07953, 2109.00925]. I will also describe the technical challenges of triggering on such events using missing energy and/or jets, including some novel approaches to ML in real-time trigger systems [2104.03408, 2207.05602], including AI anomaly detection using autoencoders [2304.03836].
Bio - Tae Min Hong is Associate Professor of Physics and Astronomy at the University of Pittsburgh. He received his AB in Physics and Mathematics from Harvard University and MA and PhD in Physics from University of California at Santa Barbara. He is currently working on experimental particle physics using proton-proton collision data from the Large Hadron Collider with the ATLAS Collaboration. His research interests include connections of Higgs bosons to the dark matter sector, trigger algorithm development and operations, and implementations of machine learning and artificial intelligence on real-time trigger systems.