Application of Generative Adverserial Networks to electron-proton scattering

ORAL

Abstract

Generative Adverserial Networks (GANs) are used to faithfully generate final state particle phase space in electron-proton scattering. Using GANs allows to build a Monte Carlo event generator free of theoretical assumptions. The architecture of the employed GAN will be discussed and generation results will be presented.

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Authors

  • Pawel Ambrozewicz

    Jefferson Lab

  • Yasir Alanazi

    Old Dominion University

  • Michelle Kuchera

    Davidson College

  • Yaohang Li

    Old Dominion University

  • Tianbo Liu

    Jefferson Lab

  • Evan McClellan

    Jefferson Lab

  • Wally Melnitchouk

    Jefferson Lab, Newport News, Virginia 23606, Thomas Jefferson National Accelerator Facility, Jefferson Lab, Jefferson Laboratory

  • Eric Pritchard

    Davidson College

  • Raghu Ramanujan

    Davidson College

  • Michael Robertson

    Davidson College

  • Nobuo Sato

    Jefferson Lab, Jefferson Laboratory

  • Richard Strausse

    Davidson College

  • Luisa Velasco

    University Of Dallas