AI boosts sensitivity to double-Higgs signatures occurring about once per trillion collisions
University of Michigan physicists have utilized advanced AI algorithms to improve the sensitivity of detecting double-Higgs boson interactions at the Large Hadron Collider. This method is 60 times more sensitive than previous attempts, aiding in the study of fundamental particle physics.
Why it matters
Enhanced detection capabilities allow scientists to better understand the stability of the universe and the nature of mass.
by Matt Davenport, University of Michigan
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Add as preferred source A computer rendering showing a double-Higgs event inside the ATLAS detector, represented by the outer black and gray structures. Credit: CERN Is the universe as stable as we think it is? That's one of the big questions that particle physicists worldwide are preparing to answer with the Large Hadron Collider, or LHC—the world's most powerful particle accelerator—when its upgrade is completed in about four years. In the meantime, researchers, including a cohort at the University of Michigan, are working to sharpen their analytical tools and techniques to make the most of the LHC's current and future data.
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