Speaker
Raghav Kansal
(Univ. of California San Diego (US))
Description
Particle Cloud Generation
There has been significant development recently in generative models for accelerating LHC simulations. Work on simulating jets has primarily used image-based representations, which tend to be sparse and of limited resolution. We advocate for the more natural ‘particle cloud’ representation of jets, i.e. as a set of particles in momentum space, and discuss evaluation metrics for the generation of such data. We then introduce our new graph network and attention-based generative models, which have excellent qualitative and quantitative performance in generating sparse jets.
Primary author
Raghav Kansal
(Univ. of California San Diego (US))
