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
Contribuinte(s) |
University of Helsinki, Department of Physics University of Helsinki, Department of Physics University of Helsinki, Department of Physics University of Helsinki, Department of Physics University of Helsinki, Department of Physics |
---|---|
Data(s) |
2010
|
Resumo |
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. |
Formato |
7 |
Identificador |
http://hdl.handle.net/10138/24206 0031-9007 |
Idioma(s) |
eng |
Publicador |
American Institute of Physics |
Relação |
Physical Review Letters |
Fonte |
Aaltonen , T , Mehtälä , P , Orava , R , Saarikko , H , Österberg , K & CDF Collaboration 2010 , ' 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 ' Physical Review Letters , vol 104 , no. 14 , pp. 141801 . , 10.1103/PhysRevLett.104.141801 |
Palavras-Chave | #114 Physical sciences |
Tipo |
A1 Refereed journal article info:eu-repo/semantics/article |