How to GAN Higher Jet Resolution
نویسندگان
چکیده
QCD-jets at the LHC are described by simple physics principles. We show how super-resolution generative networks can learn underlying structures and use them to improve resolution of jet images. test this approach on massless fat top-jets find that network reproduces their main features even without training pure samples. In addition, we a slim architecture be constructed once have control full performance.
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ژورنال
عنوان ژورنال: SciPost physics
سال: 2022
ISSN: ['2542-4653']
DOI: https://doi.org/10.21468/scipostphys.13.3.064