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Preprint Sep 2026

Cross-geometry transfer and model collapse in point cloud calorimeter shower generation

Particle shower simulation is a major computational cost in high-energy physics. Monte Carlo methods such as Geant4 are accurate but expensive, while most machine learning surrogates are tied to specific detector geometries and require retraining for each design change. We study cross-geometry transfer learning with Ca...

Thorsten Buss, F. Gaede, G. Kasieczka et al. · 0 citations

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