Yazar "Kara, Seyit Okan" seçeneğine göre listele

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    A study on structural evolution of 142-164Nd isotopes
    (Journal of Physics: Conference Series, 2014) Kara, Seyit Okan; Bayram, Tuncay; Akkoyun, Serkan
    Constrained Hartree-Fock-Bogoliubov theory with SLy5 Skyrme force has been applied for even-even 142-164Nd isotopes to investigate the structural evolution of Nd isotopic chain. In this work, ground-state energies and charge radii of Nd isotopes have been carried out as in good agreement with the experimental data. The systematic investigation of ground-state shape evolution between spherical U(5) and axially deformed SU(3) for 142-164Nd has been studied by using potential energy curves.
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    ?-decay half-life calculations of superheavy nuclei using artificial neural networks
    (Journal of Physics: Conference Series, 2014) Bayram, Tuncay; Akkoyun, Serkan; Kara, Seyit Okan
    Investigations of superheavy elements (SHE) have received much attention in the last two decades, due to the successful syntheses of SHE. In particular, ?-decay of SHEs has a great importance because most synthesized SHE have a-decay and the experimentalists have evaluated the theoretical predictions of the a-decay half-life during the experimental design. Because of this, the correct prediction of ?-decay half-life is important to investigate superheavy nuclei as well as heavy nuclei. In this work, artificial neural networks (ANN) have been employed on experimental a-decay half-lives of superheavy nuclei. Statistical modeling of a-decay half-life of superheavy nuclei have been found as to be successful.
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    Improvement studies on neutron-gamma separation in HPGe detectors by using neural networks
    (Cumhuriyet Science Journal, 2013) Akkoyun, Serkan; Bayram, Tuncay; Kara, Seyit Okan
    The neutrons emitted in heavy-ion fusion-evaporation (HIFE) reactions together with the gamma-rays cause unwanted backgrounds in gamma-ray spectra. Especially in the nuclear reactions where relativistic ion beams (RIBs) are used, these neutrons are serious problem. They have to be rejected in order to obtain clearer gamma-ray peaks. In this study, the radiation energy and three criteria which are previously determined for separation of neutron and gamma-rays in the HPGe detectors have been used in artificial neural network (ANN) for improving of the decomposition power. According to the preliminary results, by the help of ANN method, the ratio of neutron rejection has been improved by a factor of 1.27 and the ratio of the lost in gamma-rays has been decreased by a factor of 0.5.
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    New Parameters for Nuclear Charge Radius Formulas
    (Acta Physica Polonica B, 2013) Bayram, Tuncay; Akkoyun, Serkan; Kara, Seyit Okan; Sinan, Alper
    Parameters of widely used nuclear rms charge radius formulas have been refitted based on the latest experimental data for about 900 nuclei. It has been seen that the new parameters in the formulas give better results than the previous ones. Besides, an N1?3-dependent formula has been proposed and discussed. This formula gives effective results for rms charge radius. The standard deviation in all formulas with new parameters are concentrated between ?0.1 and 0.1. In other words, for about 90% of nuclei, the differences of charge radii from experimental values are lower than 0.1 fm.