Sensitivity to new high-mass states decaying to ttbar at a 100 TeV collider

Abstract

We discuss the sensitivity of a 100 TeV pp collider to heavy particles decaying to top-antitop final states. This center-of-mass energy, together with an integrated luminosity of 10 ab-1, can produce heavy particles in the mass range of several tens of teraelectronvolts (TeV). A Monte Carlo study has been performed using boosted-top techniques to reduce QCD background for the reconstruction of heavy particles with masses in the range of 8-20 TeV, and various widths. In particular, we have studied two models that predict heavy states, a model with an extra gauge boson (Zprime) and with a Kaluza-Klein (KK) excitation of the gluon (gKK). We estimate the sensitive values of $\sigma \times$Br of about 2 (4) fb for Zprime (gKK), with a corresponding mass reach of 13 (20) TeV.

14 pages, 23 figures, 3 tables, one appendix

References in corpus (15)

• PYTHIA 6.4 Physics and Manual
• Parton distributions for the LHC
• Herwig++ Physics and Manual
• Top-tagging: A Method for Identifying Boosted Hadronic Tops
• Techniques for improved heavy particle searches with jet substructure
• The Bulk RS KK-gluon at the LHC
• Jet mass and substructure of inclusive jets in sqrt(s) = 7 TeV pp collisions with the ATLAS experiment
• Top Jets at the LHC
• Template Overlap Method for Massive Jets
• Reconstructing Sparticle Mass Spectra using Hadronic Decays
• A search for ttbar resonances in lepton+jets events with highly boosted top quarks collected in pp collisions at sqrt(s) = 7 TeV with the ATLAS detector
• Next-to-leading order QCD corrections to a heavy resonance production and decay into top quark pair at the LHC
• Boosting Higgs discovery - the forgotten channel
• HepSim: a repository with predictions for high-energy physics experiments
• New approach for jet-shape identification of TeV-scale particles at the LHC

Cited by in corpus (5)

• Pinning down top dipole moments with ultra-boosted tops
• Probing the $R_{K^{(\ast )}}$ Anomaly at a Muon Collider
• HepSim: a repository with predictions for high-energy physics experiments
• Heavy resonances at energy-frontier hadron colliders
• Tagging ultra-boosted jets at FCC-hh using machine learning techniques