Top-Tagging at the Energy Frontier
Zhenyu Han, Minho Son, Brock Tweedie

TL;DR
This paper investigates top-quark tagging at multi-TeV energies at future colliders, addressing detector challenges, optimizing algorithms, and studying new physics effects to improve discrimination of top jets from backgrounds.
Contribution
It introduces a comprehensive analysis of top-tagging techniques at very high energies, including detector simulation, optimization, and novel physics considerations.
Findings
Discrimination power can be maintained with re-optimized parameters.
Mistag rates can be kept at percent levels even with limited detector information.
Gluon radiation effects can be used to enhance tagging performance.
Abstract
At proposed future hadron colliders and in the coming years at the LHC, top quarks will be produced at genuinely multi-TeV energies. Top-tagging at such high energies forces us to confront several new issues in terms of detector capabilities and jet physics. Here, we explore these issues in the context of some simple JHU/CMS-type declustering algorithms and the N-subjettiness jet-shape variable tau_32. We first highlight the complementarity between the two tagging approaches at particle-level with respect to discriminating top-jets against gluons and quarks, using multivariate optimization scans. We then introduce a basic fast detector simulation, including electromagnetic calorimeter showering patterns determined from GEANT. We consider a number of tricks for processing the fast detector output back to an approximate particle-level picture. Re-optimizing the tagger parameters, we…
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