GANplifying event samples

Butter, Anja; Diefenbacher, Sascha; Kasieczka, Gregor; Nachman, Benjamin; Plehn, Tilman

doi:10.21468/scipostphys.10.6.139

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GANplifying event samples

Butter, Anja·Diefenbacher, Sascha·Kasieczka, Gregor·Nachman, Benjamin·Plehn, Tilman

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Abstract

A critical question concerning generative networks applied to event generation in particle physics is if the generated events add statistical precision beyond the training sample. We show for a simple example with increasing dimensionality how generative networks indeed amplify the training statistics. We quantify their impact through an amplification factor or equivalent numbers of sampled events.

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Butter, Anja, Diefenbacher, Sascha, Kasieczka, Gregor, Nachman, Benjamin, Plehn, Tilman. 2021-06-10. GANplifying event samples. https://doi.org/10.21468/scipostphys.10.6.139

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