A Search for the Higgs Boson Using Neural Networks in Events with Missing Energy and \boldit{b}-quark Jets in $p\bar p$ Collisions at $\sqrt{s}=1.96$ TeV

Details A Search for the Higgs Boson Using Neural Networks in Events with Missing Energy and \boldit{b}-quark Jets in $p\bar p$ Collisions at $\sqrt{s}=1.96$ TeV A Search for the Higgs Boson Using Neural Networks in Events with Missing Energy and \boldit{b}-quark Jets in $p\bar p$ Collisions at $\sqrt{s}=1.96$ TeV

2009-11-19

arxiv.org/abs/0911.3935v4

Phys.Rev.Lett.104:141801,2010

Physics

High Energy Physics

High Energy Physics - Experiment

Submitted to Phys. Rev. Lett

Scientific paper

10.1103/PhysRevLett.104.141801

We report on a search for the standard model Higgs boson produced in association with a $W$ or $Z$ boson in $p\bar{p}$ 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$^{-1}$. 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 predictions. We place 95% confidence level upper limits on the production cross section for several Higgs boson masses ranging from 110$\gevm$ to 150$\gevm$. For a mass of 115$\gevm$ the observed (expected) limit is 6.9 (5.6) times the standard model prediction.

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