Pulling the Higgs and top needles from the jet stack with feature extended supervised tagging Aguilar Saavedra, Juan Antonio I thank J. Aguilar Saavedra for the use of computing resources, and F.R. Joaquim and J. Seabra for previous colaboration in the MUST development. This work has been supported by MICINN project PID2019-110058GB-C21 and by FCT project CERN/FIS-PAR/0004/2019. Jet tagging has become an essential tool for new physics searches at the high-energy frontier. For jets that contain energetic charged leptons we introduce Feature Extended Supervised Tagging (FEST) which, in addition to jet substructure, considers the features of the charged lepton within the jet. With this method we build dedicated taggers to discriminate among boosted H→ ℓνqq¯ , t→ ℓνb, and QCD jets (with ℓ an electron or muon). The taggers have an impressive performance, allowing for overall light jet rejection factors of 10 4- 10 5, for top quark/Higgs boson efficiencies of 0.5. The taggers are also excellent in the discrimination of Higgs bosons from top quarks and vice versa, for example rejecting top quarks by factors of 100–300 for Higgs boson efficiencies of 0.5. We demonstrate the potential of these taggers to improve the sensitivity to new physics by using as example a search for a new Z′ boson decaying into ZH, in the fully-hadronic final state. 2021-11-09T11:08:10Z 2021-11-09T11:08:10Z 2021-08 info:eu-repo/semantics/article Aguilar-Saavedra, J.A. Pulling the Higgs and top needles from the jet stack with feature extended supervised tagging. Eur. Phys. J. C 81, 734 (2021). [https://doi.org/10.1140/epjc/s10052-021-09530-w] http://hdl.handle.net/10481/71385 10.1140/epjc/s10052-021-09530-w eng http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess Atribución 3.0 España Springer