Search for vector-like quarks in the single lepton final state using deep neural networks

Vector-like quarks are massive fermionic top quark partners featured in several new physics models. We present a search by the CMS experiment for vector-like T and B quarks in the single lepton final state using all data collected in Run 2. This search improves on previous CMS searches by using deep neural network jet identification and a custom deep network for signal discrimination, providing expanded sensitivity to high mass T and B quarks.