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Tracking down hyper-boosted top quarks

Author(s)
Maltoni, Fabio; Selvaggi, Michele; Larkoski, Andrew
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Abstract
The identification of hadronically decaying heavy states, such as vector bosons, the Higgs, or the top quark, produced with large transverse boosts has been and will continue to be a central focus of the jet physics program at the Large Hadron Collider (LHC). At a future hadron collider working at an order-of-magnitude larger energy than the LHC, these heavy states would be easily produced with transverse boosts of several TeV. At these energies, their decay products will be separated by angular scales comparable to individual calorimeter cells, making the current jet substructure identification techniques for hadronic decay modes not directly employable. In addition, at the high energy and luminosity projected at a future hadron collider, there will be numerous sources for contamination including initial- and final-state radiation, underlying event, or pile-up which must be mitigated. We propose a simple strategy to tag such “hyper-boosted” objects that defines jets with radii that scale inversely proportional to their transverse boost and combines the standard calorimetric information with charged track-based observables. By means of a fast detector simulation, we apply it to top quark identification and demonstrate that our method efficiently discriminates hadronically decaying top quarks from light QCD jets up to transverse boosts of 20 TeV. Our results open the way to tagging heavy objects with energies in the multi-TeV range at present and future hadron colliders.
Date issued
2015-06
URI
http://hdl.handle.net/1721.1/98241
Department
Massachusetts Institute of Technology. Center for Theoretical Physics; Massachusetts Institute of Technology. Laboratory for Nuclear Science
Journal
Journal of High Energy Physics
Publisher
Springer-Verlag
Citation
Larkoski, Andrew J., Fabio Maltoni, and Michele Selvaggi. “Tracking down Hyper-Boosted Top Quarks.” J. High Energ. Phys. 2015, no. 6 (June 2015).
Version: Final published version
ISSN
1029-8479
1126-6708

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