A new top jet tagging algorithm for highly boosted top jets
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A new top-jet-tagging algorithm is presented based on work in Ref [1]. The full results can be seen in Refs [2, 3]. This algorithm uses the Cambridge-Aachen jet clustering algorithm to decompose highly boosted top jets into subjet components and examine the kinematics of these subjets. With this algorithm, an efficiency of 46% for top-jets with pT = 600 GeV/c is obtained, together with a rejection of 98.5% for non-top jets with pT = 600 GeV/c. With 100 pb−1 of 10 TeV pp collider data collected at CMS, narrow tt resonances in the allhadronic channel, with masses of 1, 2, 3, and 4 TeV/c2 can be excluded at the 95% C.L. for cross
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[3] S. Moretti,et al. Better jet clustering algorithms , 1997, hep-ph/9707323.
[4] Search for High-Mass Resonances Decaying into Top-Antitop Pairs in the All-Hadronic Mode , 2022 .