Application of a Mixture of Experts-based Foundation Model to the GlueX DIRC Detector
We present a Mixture-of-Experts-based foundation model applied to the GlueX DIRC detector at Jefferson Lab, demonstrating its utility as a unified framework for fast simulation, particle identification, and hit-level noise filtering of Cherenkov photons. By leveraging a single shared transformer backbone across all tasks, the approach eliminates the fragmentation of task-specific pipelines while maintaining competitive-and in several cases superior-performance relative to established methods. The model operates directly on low-level detector inputs, performing hit-by-hit autoregressive generation over split spatial and temporal vocabularies with continuous kinematic conditioning, and supp...
| Authors | Cristiano Fanelli, James Giroux, Cole Granger et al. |
|---|---|
| Primary category | physics.data-an |
| Published | 17 April 2026 |
| Last updated at source | 17 April 2026 |
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