How physicists use artificial intelligence to hunt for the universe's smallest secrets
In short: Physicist Kathryn Coldham explains the Compact Muon Solenoid experiment at CERN. Discover how this massive detector, located 100 metres underground, uses advanced algorithms to filter particle collision data and push the boundaries of our understanding of the universe.
The Compact Muon Solenoid (CMS) is a critical detector within the Large Hadron Collider (LHC), the world's largest particle accelerator. In 2012, the CMS experiment famously collaborated with the ATLAS experiment to confirm the existence of the Higgs Boson. Today, the project involves over 5,000 researchers globally who use the detector to investigate fundamental physics at the smallest possible scales.
Kathryn Coldham, who spent over five years with the CMS Collaboration, highlights how the detector functions at its location beneath Cessy, France. Her work included developing artificial intelligence algorithms for the CMS trigger system, which acts as a filter to identify potentially significant physics data from the immense volume generated by high-energy collisions. The talk covers the history of the CMS, its major discoveries, and the future of research as the LHC reaches new energy thresholds.
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- Summary by Intellect · source: Particle physics and the CMS experiment at CERN - with Kathryn Coldham
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