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EveNet: A Foundation Model for Particle Collision Data Analysis

Hsu, Ting-Hsiang et al.
arXiv (All) · Papers
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high-energy-physics-experimenthigh-energy-physics-phenomenologymachine-learning
While deep learning is transforming data analysis in high-energy physics, computational challenges limit its potential. We address these challenges in the context of collider physics by introducing EveNet, an event-level foundation model pretrained on 500 million simulated collision events using a h
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