AI for particle physics preserves a key rule of relativity at little extra cost
Researchers developed a neural-network design that enforces exact Lorentz symmetry with minimal additional computational overhead. They applied it to graph-based networks and transformers for particle-physics tasks including amplitude prediction, event generation and identifying jets from top quarks.
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