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DijetGAN: a Generative-Adversarial Network approach for the simulation of QCD dijet events at the LHC
DijetGAN: a Generative-Adversarial Network approach for the simulation of QCD dijet events at the LHC
2019
Riccardo Di Sipio
Michele Faucci Giannelli
Sana Ketabchi Haghighat
Serena Palazzo
Keywords:
Quantum chromodynamics
Physics
Particle physics
Generative grammar
Large Hadron Collider
Adversarial system
Correction
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