(p, g), (n, g) ve (a,g) Reaction Cross Section Calculations and Optimization for the Isotopes of 58,60,61,62,63,64Ni using Artificial Neural Networks

Year 2019, , 1095 - 1102, 31.08.2019

Veli Çapalı

https://doi.org/10.18185/erzifbed.561818

Abstract

In this study; discusses the using artificial
neural networks for approximation of data such as the nuclear reaction cross sections
data. The rate of approximation of the fitting criteria is determined by using
the experimental value, evaluated data and theoretical nuclear reaction cross
section model’s calculations. The (n, g), (p, g) and (a, g) reactions cross-section for ^{58,60,61,62,63,64}Ni
nuclei have been calculated from data obtained using neural networks. The
results show the effectiveness and applicability of this new technique in the
calculation of some nuclear reactions.    

In this study; discusses the using artificial neural networks for approximation of data such as the nuclear reaction cross sections data. The rate of approximation of the fitting criteria is determined by using the experimental value, evaluated data and theoretical nuclear reaction cross section model’s calculations. The (n, g), (p, g) and (a, g) reactions cross-section for 58,60,61,62,63,64Ni nuclei have been calculated from data obtained using neural networks. The results show the effectiveness and applicability of this new technique in the calculation of some nuclear reactions.    

Keywords

Artificial neural networks, Nuclear reactions, Cross section reaction calculations

Biçimlendirmeyi Yapay Sinir Ağları Kullanarak 58,60,61,62,63,64Ni İzotopları için (p, ), (n, ) ve (,) Reaksiyon Tesir Kesiti Hesaplamaları ve Optimizasyonu

Abstract

Bu çalışmada; nükleer reaksiyon tesir kesiti verilerinin hesaplanması için
yapay sinir ağlarının kullanımı incelenmiştir. Uygulama kriterleri yaklaştırma
oranı, deneysel veriler, değerlendirilmiş veriler ve teorik nükleer reaksiyon
modelleri ile gerçekleştirilen hesaplama değerleri kullanılarak belirlenmiştir.
^{58,60,61,62,63,64}Ni izotopları için (n, g), (p, g) ve (a, g) reaksiyon tesir kesitleri yapay
sinir ağları kullanılarak hesaplanmıştır. Sonuçlar, bu yeni tekniğin bazı
nükleer reaksiyonların hesaplanmasındaki etkinliğini ve uygulanabilirliğini
göstermektedir.Gelişen teknolojiye ve sanayileşmeye bağlı olarak enerjiye duyulan ihtiyacın giderilmesi yönünde nükleer enerjiye ve nükleer enerji reaktörlerine yönelim olmuştur. Nükleer enerjiye olan bu yönelim ve ilgi, nükleer teknolojisinde ve fisyon reaksiyonu temelinde yeni reaktör sistemlerinin tasarlanmasına yol açmıştır

Keywords

Yapay sinir ağları, Nükleer reaksiyonlar, Reaksiyon tesir kesiti hesaplamaları

References

• Aydin, A., Pekdogan, H., Kaplan, A., Sarpün, İ. H., Tel, E., Demir, B. 2015. “Comparison of Level Density Models for the 60,61,62,64Ni(p,n) Reactions of Structural Fusion Material Nickel from Threshold to 30 MeV”, J. Fusion Energ. 34 (5), 1105-1108.
• Beale, M. H., Hagan, M. T., Demuth, H. B., 2013. “Neural Network ToolboxTM User's Guide”.
• Demir B., Kaplan A., Çapalı V., Özdoğan H., Sarpün İ. H., Aydın A. and Tel E. 2015. “Neutron Production Cross–Section and Geant4 Calculations of the Structural Fusion Material 59Co for (a,xn) and (g,xn) Reactions”, J. Fusion Energ. 34 (3), 636-641.
• Greenwood, L. R. 1983. “A New Calculation Of Thermal Neutron Damage And Helium Production in Nickel”, Journal of Nuclear Materials, 115, 137-142.
• Herman, M., Capote, R., Carlson, B.V., Oblozinsky, P., Sin, M., Trkov, A., Wienke, H., Zerkin, V. 2007. "EMPIRE: Nuclear Reaction Model Code System for Data Evaluation", Nucl. Data Sheets, 108, 2655-2715.
• Koning, A. J., Hilaire, S., Goriely S. 2017. “TALYS–1.6 A Nuclear Reaction Program, User Manual”, Nuclear Research and Consultancy Group (NRG), Netherlands.
• Mashad, M.EL., Bakry, M.Y.EL., Tantawy M., Habashy, D.M. 2010. “Artificial Neural Networks For Hadron Hadron Cross-Sections” Tenth Radiation Physics Protection Conference, 269, Cairo/Egypt.
• NRDC-EXFOR (Experimental Nuclear Reaction Data File), Database Version of Mayıs 5, 2019. Brookhaven National Laboratory National Nuclear Data Centre. http://www.nndc.bnl.gov/nndc/exfor/. Son Erişim Tarihi: 05.04.2019.
• Özdoğan, H., Şekerci, M., Kaplan, A. 2019. “Investigation of gamma strength functions and level density models effects on photon induced reaction cross–section calculations for the fusion structural materials 46,50Ti, 51V, 58Ni and 63Cu”, Appl. Radiat. Isotopes 143, 6-10.
• Rochman, D., Koning, A. J., Sublet, J. Ch., Fleming, M., et al. 2016. "The TENDL library: hope, reality and future", proceedings of the International Conference on Nuclear Data for Science and Technology, September 11-16, 2016, Bruges, Belgium.
• Sahan, M., Tel, E., Sahan, H., Kara, A., Aydin, A., Kaplan, A., Sarpun I. H., Demir, B., Akca, S., Yildiz, E. 2015. “Calculations of Double-Differential Neutron Emission Cross Sections for 9Be Target Nucleus at 14.2 MeV Neutron Energy”, J. Fusion Energ. 34 (3), 493-499.