Geant4 Simulation

Geant4 simulation is a widely used toolkit for modeling particle interactions in high-energy physics experiments, but its computational intensity limits its scalability. Current research focuses on developing "fast simulation" techniques using generative neural networks, such as GANs, autoencoders, diffusion models, and normalizing flows, to create surrogate models that significantly speed up the process while maintaining sufficient accuracy. This effort is crucial for analyzing the massive datasets generated by modern experiments like the LHC, enabling more efficient data analysis and potentially accelerating scientific discoveries.