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  4. Search for standard model Higgs boson production in association with a W boson using a neural network discriminant at CDF

Search for standard model Higgs boson production in association with a W boson using a neural network discriminant at CDF

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Author(s)
Xie, Si
•
Knuteson, Bruce O.
•
Henderson, C.
•
Hahn, Kristian Allan
•
Gomez-Ceballos, Guillelmo
•
Choudalakis, Georgios
•
Paus, Christoph M. E.
•
Makhoul, Khaldoun
•
Goncharov, Maxim
•
Bauer, Gerry P
Date Issued
July 2009
Journal
Physical Review D
Publisher
American Physical Society
Citation
CDF Collaboration et al. “Search for standard model Higgs boson production in association with a W boson using a neural network discriminant at CDF.” Physical Review D 80.1 (2009): 012002. © 2009 The American Physical Society
Version
Final published version
Abstract
We present a search for standard model Higgs boson production in association with a W boson in proton-antiproton collisions (pp̅→W[superscript ±]H→ℓνbb̅) 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[superscript -1]. We select events consistent with a signature of a single charged lepton (e[superscript ±]/μ[superscript ±]), 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[superscript 2], respectively.
MIT Department
Massachusetts Institute of Technology. Department of Physics
Massachusetts Institute of Technology. Laboratory for Nuclear Science
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
http://hdl.handle.net/1721.1/51845
DOI of Published Version
http://dx.doi.org/10.1103/PhysRevD.80.012002
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