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Physical Review D
We demonstrate that the classification of boosted, hadronically decaying, weak gauge bosons can be significantly improved over traditional cut-based and boosted decision tree-based methods using deep learning and the jet charge variable. We construct binary taggers for W þ vs W − and Z vs W discrimination, as well as an overall ternary classifier for W þ =W − =Z discrimination. Besides a simple convolutional neural network, we also explore a composite of two simple convolutional neuraldoi:10.1103/physrevd.101.053001 fatcat:7ky6svp4ofeohe2iytxysznh2q