Search for single top quark production at D∅using neural networks

Abstract

We present a search for electroweak production of single top quarks in ≈90 pb⁻¹ of data collected with the DØ detector at the Fermilab Tevatron collider. Using arrays of neural networks to separate signals from backgrounds, we set upper limits on the cross sections of 17 pb for the s-channel process pp̅ →tb+X, and 22 pb for the t-channel process pp̅ →tqb+X, both at the 95% confidence level.