Compressing PDF sets using generative adversarial networks

Carrazza, S; Cruz-Martinez, J; Rabemananjara, TR

Carrazza, S (corresponding author), Univ Milan, TIF Lab, Dipartimento Fis, Milan, Italy.; Carrazza, S (corresponding author), Ist Nazl Fis Nucl, Sez Milano, Milan, Italy.; Carrazza, S (corresponding author), CERN, Theoret Phys Dept, CH-1211 Geneva 23, Switzerland.; Carrazza, S (corresponding author), Quantum Res Ctr, Technol Innovat Inst, Abu Dhabi, U Arab Emirates.

EUROPEAN PHYSICAL JOURNAL C, 2021; 81 (6):

Abstract

We present a compression algorithm for parton densities using synthetic replicas generated from the training of a generative adversarial network (GAN)......

Full Text Link