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arXiv · 0802.1486

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

A. N. Buryk·V. V. Skalozub
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Abstract

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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A. N. Buryk, V. V. Skalozub. 2009-05-15. Neural network predictions for Z' boson within LEP2 data set of Bhabha process. https://arxiv.org/abs/0802.1486

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