Boosted $W/Z$ Tagging with Jet Charge and Deep Learning

Understand

We demonstrate that the classification of boosted, hadronically-decaying weak gauge bosons can be significantly improved over traditional cut-based and BDT-based methods using deep learning and the jet charge variable.

• We construct binary taggers for $W^+$ vs.
• $W^-$ and $Z$ vs.
• $W$ discrimination, as well as an overall ternary classifier for $W^+$/$W^-$/$Z$ discrimination.