Speaker
Henning Rose
(UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik))
Description
We present a second-generation transformer for simulating calorimeter showers as point clouds in high-granularity detectors. As in OmniJet-α, showers are modeled as variable-length sequences, capturing realistic shower development without conditioning on the number of hits. New in this version, we remove the VQ-VAE entirely and directly tokenize the detector geometry. This geometry-aware tokenization simplifies training and delivers higher fidelity, better stability, and markedly improved scalability to larger and more complex calorimeters.
Author
Henning Rose
(UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik))
