Boosted W and Z tagging with jet charge and deep learning

Yu-Chen Janice Chen, Cheng-Wei Chiang, Giovanna Cottin, David Shih
2020 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 neural
more » ... nal neural networks, with different numbers of layers in the jet p T and jet charge channels. We find that this novel structure boosts the performance particularly when considering the Z boson as a signal. The methods presented here can enhance the physics potential in Standard Model measurements and searches for new physics that are sensitive to the electric charge of weak gauge bosons.
doi:10.1103/physrevd.101.053001 fatcat:7ky6svp4ofeohe2iytxysznh2q