Neural network predictions for Z' boson within LEP2 data set of Bhabha process
High Energy Physics - Phenomenology
2009-05-15 v2
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.
Keywords
Cite
@article{arxiv.0802.1486,
title = {Neural network predictions for Z' boson within LEP2 data set of Bhabha process},
author = {A. N. Buryk and V. V. Skalozub},
journal= {arXiv preprint arXiv:0802.1486},
year = {2009}
}
Comments
12 pages, 6 figures; results of all the LEP2 collaborations were analysed