Enhancing the top signal at Tevatron using Neural Nets

Abstract

We show that Neural Nets can be useful for top analysis at Tevatron. The main features of $t\bar{t}$ and background events on a mixed sample are projected in a single output, which controls the efficiency and purity of the $t\bar{t}$ signal.

Comments: 11 pages, 6 figures (not included and available from the authors), Latex, UB-ECM-PF 94/13