Yazar "Kara, S. Okan" seçeneğine göre listele

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    A study on ground-state energies of nuclei by using neural networks
    (Pergamon-Elsevier Science Ltd, 2014) Bayram, Tuncay; Akkoyun, Serkan; Kara, S. Okan
    One of the fundamental ground-state properties of nuclei is binding energy. Artificial neural networks (ANN) have been performed to obtain binding energies of nuclei based on the data calculated from Hartree-Fock-Bogolibov method with two Skyrme forces SLy4 and SKP. ANN has been employed to obtain two-neutron and two-proton separation energies of nuclei. Statistical modeling of ground-state energies using ANN has been seen as to be successful in this study. Particularly, predictive power of ANN has been drawn from estimations for energies of Sr, Xe, Er and Pb isotopic chains which are not seen before by the network. The study shows that such a statistical model can be possible tool for searching in systematic of nuclei beyond existing experimental data. (C) 2013 Elsevier Ltd. All rights reserved.
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    Probing for leptophilic gauge boson Zl at ILC with √s=1 TeV by using ANN
    (World Scientific Publ Co Pte Ltd, 2014) Kara, S. Okan; Akkoyun, Serkan; Bayram, Tuncay
    We search for leptophilic gauge boson Z(l) via the process e(+)e(-) -> mu(+)mu(-) ILC with root s = 1 TeV. In the leptonic extension of SM (SUC(3) x SUW(2) x U-Y (1) x U-l' (1)) we have predicted that ILC with root s = 1 TeV will enable searching Z(l) with masses up to the center-of-mass energy if the related coupling constant g(l) exceeds 10(-3) for 3 sigma observations and 5 sigma discovery. Furthermore similar results have been obtained by using artificial neural network (ANN) method.