English

How to GAN Event Unweighting

High Energy Physics - Phenomenology 2021-04-28 v3

Abstract

Event generation with neural networks has seen significant progress recently. The big open question is still how such new methods will accelerate LHC simulations to the level required by upcoming LHC runs. We target a known bottleneck of standard simulations and show how their unweighting procedure can be improved by generative networks. This can, potentially, lead to a very significant gain in simulation speed.

Keywords

Cite

@article{arxiv.2012.07873,
  title  = {How to GAN Event Unweighting},
  author = {Mathias Backes and Anja Butter and Tilman Plehn and Ramon Winterhalder},
  journal= {arXiv preprint arXiv:2012.07873},
  year   = {2021}
}

Comments

17 pages, 5 figures

R2 v1 2026-06-23T20:58:03.931Z