Abstract
15 páginas, 4 figuras, 7 tablas.-- CDF Collaboration: et al.
We present a search for standard model Higgs boson production in association with a W boson in proton-antiproton collisions (pp ->(WH)-H-+/--> l nu bb) at a center of mass energy of 1.96 TeV. The search employs data collected with the CDF II detector that correspond to an integrated luminosity of approximately 1.9 fb(-1). We select events consistent with a signature of a single charged lepton (e(+/-)/mu(+/-)), missing transverse energy, and two jets. Jets corresponding to bottom quarks are identified with a secondary vertex tagging method, a jet probability tagging method, and a neural network filter. We use kinematic information in an artificial neural network to improve discrimination between signal and background compared to previous analyses. The observed number of events and the neural network output distributions are consistent with the standard model background expectations, and we set 95% confidence level upper limits on the production cross section times branching fraction ranging from 1.2 to 1.1 pb or 7.5 to 102 times the standard model expectation for Higgs boson masses from 110 to 150 GeV/c(2), respectively.
We thank the Fermilab staff and the technical staffs
of the participating institutions for their vital contributions.
This work was supported by the U.S. Department
of Energy and National Science Foundation; the Italian
Istituto Nazionale di Fisica Nucleare; the Ministry of
Education, Culture, Sports, Science and Technology of
Japan; the Natural Sciences and Engineering Research
Council of Canada; the National Science Council of the
Republic of China; the Swiss National Science Foundation;
the A.P. Sloan Foundation; the Bundesministerium
für Bildung und Forschung, Germany; the Korean Science
and Engineering Foundation and the Korean Research
Foundation; the Science and Technology Facilities
Council and the Royal Society, UK; the Institut National
de Physique Nucleaire et Physique des Particules/CNRS;
the Russian Foundation for Basic Research; the Ministerio
de Ciencia e Innovación, and Programa Consolider-
Ingenio 2010, Spain; the Slovak R&D Agency; and the
Academy of Finland.
Peer reviewed