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GPT-Based Fast Simulation of CLAS12 Detector Hits via Conditional Autoregressive Generation
Cole Granger, James Giroux, Richard Tyson +2
Modern particles physics experiments have demonstrated an increasing need for fast, high-fidelity detector simulation as detector components have improved and subsequent computatio…
Generalizable Foundation Models for Calorimetry via Mixtures-of-Experts and Parameter Efficient Fine Tuning
Carlos Cardona-Giraldo, Cristiano Fanelli, James Giroux +3
Modern particle physics experiments face an increasing demand for high-fidelity detector simulation as luminosities rise and computational requirements approach the limits of avail…
Generative Models for Fast Simulation of Cherenkov Detectors at the Electron-Ion Collider
James Giroux, Michael Martinez, Cristiano Fanelli
The integration of Deep Learning (DL) into experimental nuclear and particle physics has driven significant progress in simulation and reconstruction workflows. However, traditiona…
Deep(er) Reconstruction of Imaging Cherenkov Detectors with Swin Transformers and Normalizing Flow Models
Cristiano Fanelli, James Giroux, Justin Stevens
Imaging Cherenkov detectors are crucial for particle identification (PID) in nuclear and particle physics experiments. Fast reconstruction algorithms are essential for near real-ti…