Kicking it Off(-shell) with Direct Diffusion

Anja Butter,Tomas Jezo,Michael Klasen, Mathias Kuschick, Sofia Palacios Schweitzer,Tilman Plehn

arxiv（2023）

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摘要

Off-shell effects in large LHC backgrounds are crucial for precision predictions and, at the same time, challenging to simulate. We show how a generative diffusion network learns off-shell kinematics given the much simpler on-shell process. It generates off-shell configurations fast and precisely, while reproducing even challenging on-shell features.

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