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What new physics is hiding in particle collider data?

Luca Mantani

May 20, 2026

Physicists developed a method to search for physics beyond the Standard Model by treating effective field theory as a landscape of competing operator combinations rather than a single unwieldy model. Using genetic algorithms and Bayesian statistics on LHC and LEP measurements, they mapped which operator pairs naturally co-appear in high-probability models and where new measurements would matter most. No signs of new physics emerged, but the framework identifies blind spots in current data and ranks competing hypotheses by evidence—a cleaner way to guide future experiments.
Published as Exploring the SMEFT landscape: Bayesian Model Selection for indirect discovery arXiv:2605.21594
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