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Optimized search for single-top-quark production at the Fermilab Tevatron

  • CDF Collaboration
  • University of Florida
  • University of California at Santa Barbara
  • Fermi National Accelerator Laboratory
  • University of Pennsylvania
  • University of Michigan, Ann Arbor
  • Massachusetts Institute of Technology
  • Academia Sinica - Institute of Physics
  • Waseda University
  • Joint Institute for Nuclear Research
  • Argonne National Laboratory
  • University of Oxford
  • University of Padua
  • Lawrence Berkeley National Laboratory
  • Purdue University
  • Johns Hopkins University
  • University of California at Davis
  • National Institute for Nuclear Physics
  • Scuola Normale Superiore di Pisa
  • University of Trieste
  • University of Glasgow
  • University of Wisconsin-Madison
  • Duke University
  • Rockefeller University
  • Brandeis University
  • University of Rochester
  • University of Pittsburgh
  • Michigan State University

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

We use a neural-network technique to search for standard model single-top-quark production in the [Formula Presented] dataset accumulated by the Collider Detector at Fermilab detector during the 1992–1995 collider run (“run I”). Using a sample of 64 [Formula Presented] 2, 3 jets events, we set a 95% confidence level upper limit of 24 pb on the W-gluon and [Formula Presented] combined single-top cross section.

Original languageEnglish
JournalPhysical Review D - Particles, Fields, Gravitation and Cosmology
Volume69
Issue number5
DOIs
StatePublished - Mar 25 2004

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