Shell Model Calculations for Proton-rich Zn Isotopes via New Generated Effective Interaction by Artificial Neural Networks

Year 2019, Volume: 40 Issue: 3, 570 - 577, 30.09.2019

Serkan Akkoyun Tuncay Bayram

https://doi.org/10.17776/csj.534815

Cited By: 1

Abstract

In this study, the artificial
neural network method has been employed for the generation of the new two-body
matrix elements which is used for fpg shell nuclei. For this purpose, jj44b
interaction Hamiltonian has been considered as a source. After the generation
of the new Hamiltonian, both, original and new generated, are tested on
proton-rich Zn isotopes. According to the results, the calculated values are
close to the each other. As well the results from new interaction (jj44b_nn)
are closer to the available experimental values in some cases.

Keywords

Nuclear shell model, pfg shell, jj44b, artificial neural network

Yapay Sinir Ağı ile Yeni Üretilen Etkin Etkileşimle Nötron Zengini Zn İzotopları için Kabuk Modeli Hesaplamaları

Abstract

Bu çalışmada, fpg kabuk çekirdekleri için
kullanılan iki cisim matris elemanlarının üretilmesi için yapay sinir ağı
yöntemi kullanılmıştır. Bu amaçla, jj44b etkileşim Hamiltonian’i, kaynak olarak
kabul edilmiştir. Yeni Hamiltonian'ın oluşumundan sonra, hem orijinal hem de yeni
üretilen etkileşimin her ikisi de nötronca zengin Zn izotopları üzerinde test
edilmiştir. Elde edilen sonuçlara göre hesaplanan değerler birbirine yakındır.
Ayrıca, yeni etkileşimden (jj44b_nn) elde edilen sonuçlar, mevcut deneysel
değerlere ve literatür değerlerine daha yakın sonuç vermiştir.

Keywords

Nükleer kabuk modeli, Pfg kabuğu

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