Search for Standard Model Higgs Boson Production in Association with a W Boson using Bayesian Neural Networks with 5.7fb<sup>-1</sup> of CDF data

Search for Standard Model Higgs Boson Production in Association with a W Boson using Neural Networks with 5.7fb^-1 of CDF data

Yoshikazu Nagai, Shinhong Kim (University of Tsukuba)
Weiming Yao (LBNL)
Jay Dittmann, Martin Frank, Nils Krumnack (Baylor University)
Benjamin Kilminster (FNAL)
Anyes Taffard (UC Irvine)
Timo Aaltonen (University of Helsinki)
Adrian Buzatu, Andreas Warburton (McGill University)
Richard Hughes, Kevin Lannon, Jason Slaunwhite, Brian Winer, Homer Wolfe (Ohio State University)
Justin Keung, Evelyn Thomson (University of Pennsylvania)
Christopher Neu (University of Virginia)

- Link to public webpage for analysis -

- Link to Final Result -

Abstract:

We present a search for Standard Model Higgs boson decaying to two b-quarks and produced in association with a W boson. This search uses data corresponding to an integrated luminosity of 5.7/fb. We select events with a high-pT lepton, a neutrino, and two jets. We require at least one of the jets to be identified as a b-quark jet (tagged) using three different tagging algorithms (SECVTX, JetProb and NN b-tagging). The discrimination between the Higgs signal and the large backgrounds in the W + 2 jets bin is increased through the use of an bayesian neural network. We see no evidence for an excess of Higgs signal in the NN output distribution. We set a 95% confidence level upper limit on the WH cross section times the branching ratio of the Higgs to decay to a bbbar pair, expressed as a ratio to the SM cross section:
σ(ppbar -> WH)*BR(H->bbbar) < 4.47 x SM observed (3.48 expected) at M(H) = 115 GeV/c²
σ(ppbar -> WH)*BR(H->bbbar) < 1.98 to 44.3 x SM for M(H) = 100 to 150 GeV/c²

Supporting Documents:

- analysis public note -