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Öğe A study on ground-state energies of nuclei by using neural networks(PERGAMON-ELSEVIER SCIENCE LTD, 2014) Bayram, Tuncay; Akkoyun, Serkan; Kara, S. OkanOne 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.Öğe A study on structural evolution of Nd142-164 isotopes(IOP PUBLISHING LTD, 2014) Kara, Seyit O.; Bayram, Tuncay; Akkoyun, Serkan; Vagenas, EC; Vlachos, DSConstrained Hartree-Fock-Bogoliubov theory with SLy5 Skyrme force has been applied for even-even Nd142-164 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 Nd142-164 has been studied by using potential energy curves.Öğe alpha-decay half-life calculations of superheayy nuclei using artificial neural networks(IOP PUBLISHING LTD, 2014) Bayram, Tuncay; Akkoyun, Serkan; Kara, S. Okan; Vagenas, EC; Vlachos, DSInvestigations of superheavy elements (SHE) have received much attention in the last two decades, due to the successful syntheses of SHE. In particular, alpha-decay of SHEs has a great importance because most synthesized SHE have alpha-decay and the experimentalists have evaluated the theoretical predictions of the alpha-decay half-life during the experimental design. Because of this, the correct prediction of alpha-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 alpha-decay half-lives of superheavy nuclei. Statistical modeling of alpha-decay half-life of superheavy nuclei have been found as to be successful.Öğe An approximation to the cross sections of Z (l) boson production at CLIC by using neural networks(VERSITA, 2013) Akkoyun, Serkan; Kara, Seyit O.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 (-)-> A mu(+)A mu(-). 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) .Öğe NEW PARAMETERS FOR NUCLEAR CHARGE RADIUS FORMULAS(WYDAWNICTWO UNIWERSYTETU JAGIELLONSKIEGO, 2013) Bayram, Tuncay; Akkoyun, Serkan; Kara, S. Okan; Sinan, AlperParameters 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 N-1/3-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.Öğe Probing for leptophilic gauge boson Z(l) at ILC with root s=1 TeV by using ANN(WORLD SCIENTIFIC PUBL CO PTE LTD, 2014) Kara, S. Okan; Akkoyun, Serkan; Bayram, TuncayWe 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.
