Hunting for New Physics with AI

The analysis assesses the model’s fidelity-specifically, how well it aligns with observed anomalies-using a goodness-of-fit test focused solely on regions flagged as unusual by both the small and large OmniLearned model anomaly scores, thereby isolating the areas where predictive accuracy is most critical and potentially flawed.

Researchers are leveraging the power of foundation models to sift through high-energy particle collision data, uncovering potential signals beyond our current understanding.

Cosmic Ripples from Hidden Symmetries

The gravitational wave spectrum-illustrated for a benchmark supersymmetry scale of 10 TeV and an initial vacuum energy of approximately [latex]5 \times 10^{11}[/latex] GeV-demonstrates that peak amplitude and frequency are sensitive indicators of both the initial vacuum energy and the supersymmetry scale, with a 90% shift in peak position attributable to [latex]\mathcal{O}(1)[/latex] coefficients and constrained by experimental sensitivities and big bang nucleosynthesis bounds.

New research explores the possibility of detecting gravitational waves generated by the decay of topological defects linked to fundamental flavour symmetries in particle physics.