Cross-Domain Transfer with Particle Physics Foundation Models: From Jets to Neutrino Interactions
Future AI-based studies in particle physics will likely start from a foundation model to accelerate training and enhance sensitivity. As a step toward a general-purpose foundation model for particle physics, we investigate whether the OmniLearned and ParticleViT foundation models pretrained on diverse high-$Q^2$ simulated and real $pp$ and $ep$ collisions retain useful knowledge to a few-GeV fixed-target neutrino experiment. We process MINERvA neutrino--nucleus scattering events and evaluate pretrained models on two types of tasks: regression of available energy and binary classification of charged-current pion final states ($\mathrm{CC1π^{\pm}}$, $\mathrm{CCNπ^{\pm}}$, and $\mathrm{CC1π^...
| Authors | Gregor Krzmanc, Vinicius Mikuni, Benjamin Nachman et al. |
|---|---|
| Primary category | hep-ex |
| Published | 14 April 2026 |
| Last updated at source | 25 August 2026 |
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