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- W1599739544 abstract "We present results of a search for single top quark production in p$bar{p}$ collisions using a dataset of approximately 1 fb-1 collected with the D0 detector. This analysis considers the muon+jets and electron+jets final states and makes use of Bayesian neural networks to separate the expected signals from backgrounds. The observed excess is associated with a p-value of 0.081%, assuming the background-only hypothesis, which corresponds to an excess over background of 3.2 standard deviations for a Gaussian density. The p-value computed using the SM signal cross section of 2.9 pb is 1.6%, corresponding to an expected significance of 2.2 standard deviations. Assuming the observed excess is due to single top production, we measure a single top quark production cross section of σ(p$bar{p}$ → tb + X, tqb + X) = 4.4 ± 1.5 pb." @default.
- W1599739544 created "2016-06-24" @default.
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- W1599739544 date "2007-01-01" @default.
- W1599739544 modified "2023-09-27" @default.
- W1599739544 title "Evidence for single top quark production using Bayesian neural networks" @default.
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- W1599739544 doi "https://doi.org/10.2172/927940" @default.
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