In this paper we describe a Neural Network technique for single top
identification. Using a sample of 64 W + 1,2,3 jets events from Run I, the fit
to the Neural Network output yields a signal content of 23.6 +/- 7.7 events,
roughly 2.5 standard deviations away from the expected value of 4.2 events.
Based on this result, we calculate an a posteriori Run I upper limit on single
top production cross section of 24.4 pb.

Besides updating our previous Run I result, this thesis also incorporates the a
priori study of Run I single top production presented in CDF 5741. 


Posted to /cdf/pub/cdf5742_NN_Run1_thesis.ps
    http://www-cdf.fnal.gov/cdfnotes/cdf5742_NN_Run1_thesis.ps
(This is revision # 3.)

Posted by catutza@cdfsga


Posted to /cdf/pub/thesis/cdf5742_NN_Run1_thesis.ps
    http://www-cdf.fnal.gov/thesis/cdf5742_NN_Run1_thesis.ps
(This is revision # 5.)

Posted by catutza@cdfsga