Simulation

In high energy physics (HEP), jets are collections of correlated particles produced ubiquitously in particle collisions such as those …

Introduces the message-passing generative adversarial (MPGAN) model and JetNet dataset. We found the physics-informed MPGAN model outperformed all existing point-cloud GANs in simulating high momentum jets.

Developed a graph neural network model to reconstruct particle collisions and interpreted the results using explainable AI techniques.

Particle Cloud Generation with Message Passing GANs

There has been significant development recently in generative models for accelerating LHC simulations. Work on simulating jets has …

We develop a generative neural network for the generation of sparse data in particle physics using a permutation-invariant and …

There has been significant development recently in generative models for accelerating LHC simulations. Work on simulating jets has …

In high energy physics (HEP), jets are collections of correlated particles produced ubiquitously in particle collisions such as those …