Neural network predictions for Z' boson within LEP2 data set of Bhabha process

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dc.creatorBuryk, A. N.
dc.creatorSkalozub, V. V.
dc.date2008-02-11
dc.date2009-05-15
dc.date.accessioned2026-07-07T13:14:45Z
dc.date.available2026-07-07T13:14:45Z
dc.descriptionThe neural network approach is applied to search for the Z'-boson within the LEP2 data set for e+ e- -> e+ e- scattering process. In the course of the analysis, the data set is reduced by 20 percent. The axial-vector and vector couplings of the Z' are estimated at 95 percent CL within a two-parameter fit. The mass is determined to be 0.53-1.05 TeV. Comparisons with other results are given.
dc.description12 pages, 6 figures; results of all the LEP2 collaborations were analysed
dc.identifierhttps://arxiv.org/abs/0802.1486
dc.identifierhttp://arxiv.org/abs/0802.1486
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/230272
dc.subjectHigh Energy Physics - Phenomenology
dc.titleNeural network predictions for Z' boson within LEP2 data set of Bhabha process
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