Search for the Higgs Boson Using Neural Networks in Events with Missing Energy and b-Quark Jets in p[over-bar p] Collisions at [sqrt]s=1.96 TeV
Author(s)Paus, Christoph M. E.; Makhoul, K.; Bauer, Gerry P.; Gomez-Ceballos, Guillelmo; Goncharov, Maxim
Search for the Higgs Boson Using Neural Networks in Events with Missing Energy and b-Quark Jets in pp̅ Collisions at √s=1.96 TeV
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We report on a search for the standard model Higgs boson produced in association with a W or Z boson in p[over-bar p] collisions at [sqrt]s=1.96 TeV recorded by the CDF II experiment at the Tevatron in a data sample corresponding to an integrated luminosity of 2.1 fb[superscript -1]. We consider events which have no identified charged leptons, an imbalance in transverse momentum, and two or three jets where at least one jet is consistent with originating from the decay of a b hadron. We find good agreement between data and background predictions. We place 95% confidence level upper limits on the production cross section for several Higgs boson masses ranging from 110 GeV/c[superscript 2] to 150 GeV/c[superscript 2]. For a mass of 115 GeV/c[superscript 2] the observed (expected) limit is 6.9 (5.6) times the standard model prediction.
DepartmentMassachusetts Institute of Technology. Department of Physics; Massachusetts Institute of Technology. Laboratory for Nuclear Science
Physical Review Letters
American Physical Society
CDF Collaboration et al. “Search for the Higgs Boson Using Neural Networks in Events with Missing Energy and b-Quark Jets in pp-bar Collisions at s=1.96 TeV.” Physical Review Letters 104.14 (2010): 141801. © 2010 American Physical Society.
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