ABSTRACT
This paper describes a algorithm to identify the visible decay products of hadronic tau decays (τhad-vis) in the Standard Model Higgs boson produced in association with a
top quark pair in multilepton final states with two light leptons with same-sign electric charges and one hadronically decaying tau lepton, labeled as 2LSS1τhad
at √s=13 TeV. The algorithm is based on recurrent neural networks (RNN) employing information from reconstructed charged-particle tracks and clusters of energy in the
calorimeter associated to τ had-vis candidates as well as high-level discriminating variables. The expected performance of this algorithm is evaluated in simulated
proton–proton collisions at √s=13 TeV and compared to a BDT-based approach.
Keywords: Fake Factor method, Hadronic τ lepton, RNN, traces of charged particles
UOT: 539.1
DOI:-
Received: 20.02.2023
AUTHORS & AFFILIATIONS
Institute of Physics Ministry of Science and Education Republic of Azerbaijan, 131 H.Javid ave, Baku, AZ-1143, Azerbaijan
E-mail: nguseynov@jinr.ru
Graphics and Images
Fig.1-2-3
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