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physics.data-an2022★ 6 cited
Improving Robustness of Jet Tagging Algorithms with Adversarial Training
Annika Stein, Xavier Coubez, Spandan Mondal +2
Deep learning is a standard tool in the field of high-energy physics, facilitating considerable sensitivity enhancements for numerous analysis strategies. In particular, in identif…
physics.data-an2019★ 36 cited
A deep neural network for simultaneous estimation of b jet energy and resolution
CMS Collaboration
We describe a method to obtain point and dispersion estimates for the energies of jets arising from b quarks produced in proton-proton collisions at an energy of 13 Te…