Finding gluon jets with a neural trigger

Abstract

Using a neural-network classifier we are able to separate gluon from quark jets originating from Monte Carlo–generated ${\mathit{e}}^{+}$ ${\mathit{e}}^{\mathrm{-}}$ events with 85%–90% accuracy.