An Approximation to the Cross Sections of Z_l Boson Production at CLIC by Using Neural Networks
arXiv:1208.3115 · doi:10.2478/s11534-012-0168-y
Abstract
In this work, the possible dynamics associated with leptophilic Z_l boson at CLIC (Compact Linear Collider) have been investigated by using artificial neural networks (ANNs). These hypotetic massive boson Z_l have been shown through the process e+e- -> M+M-. Furthermore, the invariant mass distributions for final muons have been consistently predicted by using ANN. For these highly non-linear data, we have constructed consistent empirical physical formulas (EPFs) by appropriate feed- forward ANN. These ANN-EPFs can be used to derive further physical functions which could be relevant to studying Z_l.
arXiv comment9 pages, 8 figures
References in corpus (6)
- Neural network determination of parton distributions: the nonsinglet case
- TeV Scale Gauged B-L With Inverse Seesaw Mechanism
- Probing the sector of the minimal model at future Linear Colliders in the process
- Prospects for the Observation of a Higgs Boson with $H\toτ^+τ^-\to l^+l^-\sla{p_t}$ Associated with One Jet at the LHC
- Search for the Standard Model Higgs boson in ee interactions at $\root{s}$ = 189 GeV
- Optimized Neural Networks to Search for Higgs Boson Production at the Tevatron