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.

*This work was supported in part by the Jefferson Lab LDRD project No. LDRD2122

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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