Searches for the $t^\prime$ of a fourth family
Bob Holdom, Qi-Shu Yan

TL;DR
This paper demonstrates the feasibility of detecting a hypothetical fourth-family top quark ($t'$) at LHC and Tevatron using neural networks, suggesting improved search strategies and stronger mass bounds.
Contribution
It introduces a neural network-based method for $t'$ detection and shows how considering $b'$ contributions enhances search sensitivity and mass bounds.
Findings
Feasibility of $t'$ detection near 500-600 GeV at LHC and Tevatron.
Neural networks improve search sensitivity for fourth-family quarks.
Incorporating $b'$ contributions strengthens mass bounds on degenerate quark doublets.
Abstract
We study the detection of the of a fourth family during the early running of LHC with 7 TeV collision energy and 1 fb integrated luminosity. By use of a neural network we show that it is feasible to search for the even with a mass close to the unitarity upper bound, which is in the 500 to 600 GeV range. We also present results for the Tevatron with . In both cases the search for a fourth family quark doublet can be significantly enhanced if one incorporates the contribution that the can make to a -like signal. Thus the bound on the mass of a degenerate quark doublet should be stronger than the bounds obtained by treating and in isolation.
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