SciPost Submission Page
How to GAN Event Subtraction
by Anja Butter, Tilman Plehn, Ramon Winterhalder
|As Contributors:||Tilman Plehn · Ramon Winterhalder|
|Submitted by:||Winterhalder, Ramon|
|Submitted to:||SciPost Physics|
|Subject area:||High-Energy Physics - Phenomenology|
Subtracting and adding event samples are common problems in LHC simulations. We show how generative adversarial networks can produce new event samples with a phase space distribution corresponding to added or subtracted input samples. We illustrate some general features using toy samples and then show explicit examples of background and non-local collinear subtraction events in terms of unweighted 4-vector events. This event sample manipulation reflects the excellent interpolation properties of neural networks.