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

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

2008-02-11

arxiv.org/abs/0802.1486v2

Physics

High Energy Physics

High Energy Physics - Phenomenology

12 pages, 6 figures; results of all the LEP2 collaborations were analysed

Scientific paper

The 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.

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