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Machine learning-based event generator for electron-proton scattering

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Alanazi, Y. ; Ambrozewicz, P. ; Battaglieri, M. ; Hiller Blin, Astrid N. ; Kuchera, M. P. ; Li, Y. ; Liu, T. ; McClellan, R. E. ; Melnitchouk, W. ; Pritchard, E. ; Robertson, M. ; Sato, N. ; Strauss, R. ; Velasco, L.
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Date of publication of this fulltext: 20 Jan 2023 13:37


We present a new machine learning-based Monte Carlo event generator using generative adversarial networks (GANs) that can be trained with calibrated detector simulations to construct a vertex-level event generator free of theoretical assumptions about femtometer scale physics. Our framework includes a GAN-based detector folding as a fast-surrogate model that mimics detector simulators. The ...


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