most citedGenerative Adversarial Networks (GAN) for compact beam source modelling in Monte Carlo simulations

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physics.med-ph2019★ 34 cited

Generative Adversarial Networks (GAN) for compact beam source modelling in Monte Carlo simulations

David Sarrut, Nils Krah, Jean-Michel Létang

A method is proposed and evaluated to model large and inconvenient phase space files used in Monte Carlo simulations by a compact Generative Adversarial Network (GAN). The GAN is t…