A least-squares GAN trained on Lund jet plane images reproduces the simulated jet substructure distribution to within a few percent, and a CycleGAN maps between jet categories such as parton-level vs detector-level or QCD vs W jets.
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Lund jet images from generative and cycle-consistent adversarial networks
A least-squares GAN trained on Lund jet plane images reproduces the simulated jet substructure distribution to within a few percent, and a CycleGAN maps between jet categories such as parton-level vs detector-level or QCD vs W jets.