Neural network predictions for Z' boson within LEP2 data set of Bhabha process
arXiv:0802.1486
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.
arXiv comment12 pages, 6 figures; results of all the LEP2 collaborations were analysed
References in corpus (4)
- Renormalizability and the model independent observables for abelian Z' search
- Model-independent search for the Abelian Z' boson in the Bhabha process
- ZZ' Mixing in Presence of Standard Weak Loop Corrections
- Renormalization group relations and searching for abelian Z' Boson in the four-fermionic processes