This thesis describes, in detail, an innovative approach of using Boosted Decision Trees, a machine-learning technique, to observe the tiny single top signal within an otherwise overwhelming background. The final result was published in August 2009 in Physical Review Letters, the most prestigious journal in the field of experimental particle physics. It was further made an "editor's choice" in that publication and was highlighted in the journal Physics as one of the most interesting and significant results published in all of physics at that time.
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