An approximation to the cross sections of Z
l boson production at CLIC by using neural networks

• Authors: Serkan Akkoyun , Seyit Kara
• Languages of publication: EN

Abstracts

EN

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
−→µ+µ−. 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 ANNEPFs can be used to derive further physical functions which could be relevant to studying Z
l.

Keywords

EN

neural network; empirical physical formula; leptonic photon; CLIC

• Publisher: De Gruyter Open
• Journal: Open Physics
• Year: 2013
• Volume: 11
• Issue: 3
• Pages: 345-349

Dates

published

1 - 3 - 2013

online

28 - 3 - 2013

Contributors

author

Serkan Akkoyun

• Faculty of Sciences, Department of Physics, Cumhuriyet University, 58140, Sivas, Turkey

author

Seyit Kara

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Identifiers

DOI

10.2478/s11534-012-0168-y