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UCSD
Measuring Higgs Bosons Using Artificial Intelligence
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Liebow Auditorium (UC San Diego)
Liebow Auditorium
UC San Diego
Description
Ten years ago, the discovery of the Higgs boson confirmed the existence of a new kind of field, the Higgs field, which fills the universe. Interactions with the Higgs field provide a mechanism for generating the masses of other elementary particles: each particle interacts with the Higgs field with a different strength, and the stronger the interaction, the larger the resulting mass. The Higgs boson is also expected to interact with itself in an as-yet-unobserved process where one Higgs boson splits into two. Measuring these interactions is necessary to confirm the standard model of particle physics, and any deviations from our expectations may give a critical hint for new laws of physics. At the CERN LHC, we collide protons at nearly the speed of light and analyze the debris from the collisions to learn about elementary particles like the Higgs boson. In this colloquium, I will explain how we are developing new artificial intelligence (AI) methods to confront two major, and related, challenges at the LHC: (1) searching for the elusive Higgs boson self-interaction and (2) quickly filtering millions of collisions per second on field-programmable gate arrays (FPGAs) in pursuit of new physics.
Javier Duarte is an Assistant Professor of Physics at the University of California San Diego and a member of the CMS experiment at the CERN Large Hadron Collider (LHC). He received his Ph.D. in Physics at Caltech and his B.S. in Physics and Mathematics at MIT. Prof. Duarte’s group performs measurements of high-momentum Higgs bosons and searches for exotic new physics. They are also interested in hardware-accelerated machine learning for trigger and computing as well as geometric deep learning for particle physics.
Zoom link: https://ucsd.zoom.us/j/98934120411?pwd=OGdUN3R5c3M4QnpseEkrWkh4Um5lUT09
