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Rare top quark decays at a 100 TeV proton-proton collider: and .
Andreas Papaefstathiou1,2, Gilberto Tetlalmatzi-Xolocotzi2
11Institute for Theoretical Physics Amsterdam and Delta Institute for Theoretical Physics, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands.
Investigating rare top quark decays at a 100 TeV collider, this study finds the radiative decay challenging. However, the flavour-changing neutral decay shows significantly enhanced sensitivity compared to LHC projections.
Area of Science:
- High Energy Physics
- Particle Physics
- Collider Physics
Background:
- Top quarks are the heaviest known elementary particles.
- Rare top quark decays offer a window into physics beyond the Standard Model.
- Future colliders like the 100 TeV proton-proton collider enable exploration of unprecedented energy scales.
Purpose of the Study:
- To investigate the feasibility of observing extremely rare top quark decay modes at a 100 TeV proton-proton collider.
- To analyze the radiative decay and the flavour-changing neutral decay.
- To compare sensitivities with existing and future Large Hadron Collider (LHC) measurements.
Main Methods:
- Simulations of particle interactions at a 100 TeV center-of-mass energy.
- Analysis of top quark pair production events.
- Calculation of branching ratios and expected event yields for specific decay channels.
- Comparison of projected sensitivities with LHC capabilities.
Main Results:
- The decay mode is found to be very challenging to observe, even in scenarios beyond the Standard Model.
- Significantly enhanced sensitivity (at least one order of magnitude) is predicted for the decay mode compared to future LHC measurements.
- The study quantifies the potential of future colliders for probing rare top quark phenomena.
Conclusions:
- Future 100 TeV colliders hold great promise for discovering new physics through rare top quark decays.
- The decay channel presents a particularly promising avenue for discovery.
- Experimental efforts at future colliders should focus on optimizing detection strategies for these rare processes.
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