Single Top Quark Production at D0 Using Bayesian Neural Networks

Alice Bean

Single Top Quark Production at D0 Using Bayesian Neural Networks

ORAL

Abstract

We present a measurement of the single top production cross section based on 5.4/fb of data collected by the D0 experiment at the Fermilab Tevatron proton-antiproton collider. The signal is separated from the background using a Bayesian Neural Network.

Feb. 15, 2010, 4:06 PM – Feb. 15, 2010, 4:18 PM

Authors

Alice Bean
- University of Kansas