Prompting Particle Physics
One tokenised model that takes any subset of reconstruction objects and predicts any other, covering particle flow and detector simulation.
- Made by
- Nilotpal Kakati, Daniel Murnane, Baran Hashemi and others
- Field
- Collider physics
- Learns from
- Simulated jets as tracks, calorimeter cells, clusters and particles
- Size
- Not stated
- Open weights
- Not stated
- First public
- Sept 2026
- Source
- arxiv.org/abs/2609.31862
How it relates to Flare
The nearest published idea to CERN's aim of a model that learns across the whole reconstruction chain at once.
Every figure here is from the source above, checked 17 October 2026. Something changed? Email [email protected].