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Title

Search for the Higgs Boson Using Neural Networks in Events with Missing Energy and b-Quark Jets in pp Collisions at s√=1.96  TeV

CollaborationWith : Clark, Allan Geoffrey / Garcia Navarro, Jose Enrique / Lister, Alison / Wu, Xin
Published in Physical Review Letters. 2010, vol. 104, no. 14, p. 141801
Abstract We report on a search for the standard model Higgs boson produced in association with a W or Z boson in pp collisions at 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−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/c2 to 150  GeV/c2. For a mass of 115  GeV/c2 the observed (expected) limit is 6.9 (5.6) times the standard model prediction.
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CDF COLLABORATION. Search for the Higgs Boson Using Neural Networks in Events with Missing Energy and b-Quark Jets in pp Collisions at s√=1.96  TeV. In: Physical Review Letters, 2010, vol. 104, n° 14, p. 141801. https://archive-ouverte.unige.ch/unige:38642

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Deposited on : 2014-07-14

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