Generative Networks for LHC events

Anja Butter; Tilman Plehn

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arXiv · 2008.08558

Generative Networks for LHC events

Anja Butter·Tilman Plehn

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Abstract

LHC physics crucially relies on our ability to simulate events efficiently from first principles. Modern machine learning, specifically generative networks, will help us tackle simulation challenges for the coming LHC runs. Such networks can be employed within established simulation tools or as part of a new framework. Since neural networks can be inverted, they also open new avenues in LHC analyses.

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Anja Butter, Tilman Plehn. 2020-08-19. Generative Networks for LHC events. https://arxiv.org/abs/2008.08558

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