to minimize double counting of objects. Jets originating from the hadronization of quarks are “tagged" in the [$\tauh\tauh$]{}analysis through the DNN-based combined secondary vertex algorithm (DeepCSV) [@Sirunyan:2017ezt] to reject events with quark jets that are likely to originate from backgrounds with top quarks. The efficiency for tagging quarks originating from top quark decays is about 84%, while the misidentification rates for jets from charm quarks, and from light quarks or gluons, are about 41 and 11%, respectively. In the [$\ell\tauh$]{}analyses, the CSVv2 tagger [@Sirunyan:2017ezt] is used to identify quark jets for the selection of background-enriched control regions (CRs). The working point that is used corresponds to an efficiency of 63% and misidentification rates of 12 and 0.9% for jets from charm quarks and light quarks or gluons, respectively.

Electron candidates are reconstructed by first matching reconstructed tracks to clusters of energy deposited in the ECAL. Selections based on the spatial distribution of the shower, track–cluster matching criteria, and consistency between the cluster energy and the track momentum are then used in the identification of electron candidates [@Khachatryan:2015hwa]. Muon candidates are reconstructed by requiring reconstructed tracks in the muon detector to be matched to the tracks found in the inner tracker 