| Makale Türü |
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| Dergi Adı | Journal of Nuclear Sciences | ||
| Dergi ISSN | 2147-7736 | ||
| Makale Dili | – | Basım Tarihi | 01-2015 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-01-2015 |
| Cilt / Sayı / Sayfa | 2 / 1 / 7–10 | DOI | 10.1501/nuclear_0000000009 |
| Makale Linki | https://www.academia.edu/download/36655688/Kuadrupol-Nukleer_-Ankara.pdf | ||
| UAK Araştırma Alanları |
Dedektör Teknolojisi
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| Özet |
| The reduced electric quadrupole transition probability (B (E2)↑) between 0+ ground state and 2+ state in nuclei is an important quantity because it represents basic nuclear information on energies of low-lying levels in the nuclei. It provides knowledge about deformation of nuclei. In this study, the B (E2)↑ values of some even-even nuclei in 110≤ A≤ 190 region have been estimated by using artificial neural network (ANN) method which is a non-linear approximator. The present study shows that ANN is found to be useful in order to predict B (E2)↑ values of even-even nuclei in this region. |
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| Google Scholar | 12 |