Search for t-Channel Single Top Quark Production in p anti-p Collisions at 1.96 TeV

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I have performed a search for t-channel single top quark production in p{bar p} collisions at 1.96 TeV on a 366 pb{sup -1} dataset collected with the D0 detector from 2002-2005. The analysis is restricted to the leptonic decay of the W boson from the top quark to an electron or muon, tq{bar b} {yields} lv{sub l}b q{bar b} (l = e,{mu}). A powerful b-quark tagging algorithm derived from neural networks is used to identify b jets and significantly reduce background. I further use neural networks to discriminate signal from background, and apply a binned likelihood calculation to the neural ... continued below

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225 pages

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Perea, Philip Michael & /UC, Riverside June 1, 2006.

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I have performed a search for t-channel single top quark production in p{bar p} collisions at 1.96 TeV on a 366 pb{sup -1} dataset collected with the D0 detector from 2002-2005. The analysis is restricted to the leptonic decay of the W boson from the top quark to an electron or muon, tq{bar b} {yields} lv{sub l}b q{bar b} (l = e,{mu}). A powerful b-quark tagging algorithm derived from neural networks is used to identify b jets and significantly reduce background. I further use neural networks to discriminate signal from background, and apply a binned likelihood calculation to the neural network output distributions to derive the final limits. No direct observation of single top quark production has been made, and I report expected/measured 95% confidence level limits of 3.5/8.0 pb.

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225 pages

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  • Report No.: FERMILAB-THESIS-2006-15
  • Grant Number: AC02-76CH03000
  • Office of Scientific & Technical Information Report Number: 892492
  • Archival Resource Key: ark:/67531/metadc884374

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  • June 1, 2006

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  • Sept. 21, 2016, 2:29 a.m.

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  • Dec. 7, 2016, 9:05 p.m.

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Perea, Philip Michael & /UC, Riverside. Search for t-Channel Single Top Quark Production in p anti-p Collisions at 1.96 TeV, thesis or dissertation, June 1, 2006; Batavia, Illinois. (digital.library.unt.edu/ark:/67531/metadc884374/: accessed September 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.