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Journals / Sakarya University Journal of Science / 2020 / Cilt: 24 Sayı: 5

Estimations of Cross-Sections for Photonuclear Reaction on Calcium Isotopes by Artificial Neural Networks

Serkan AKKOYUN
Hüseyin KAYA
Pages
1115–1120
Publication Date
2020-10-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The correlation coefficient values of the method for both training and test phases being 0.99 indicate that the method is very suitable for this purpose.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The nuclear reaction induced by photon is one of the important tools in the investigation of atomic nuclei.
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Key Findings & Data:In the reaction, a target material is bombarded by photons with high-energies in the range of gamma-ray energy range.
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Conclusion & Impact:The correlation coefficient values of the method for both training and test phases being 0.99 indicate that the method is very suitable for this purpose.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Photonuclear reaction · cross-section · calcium

Abstract

The nuclear reaction induced by photon is one of the important tools in the investigation of atomic nuclei. In the reaction, a target material is bombarded by photons with high-energies in the range of gamma-ray energy range. In the bombarding process, the photons can statistically be absorbed by a nucleus in the target material. Then the excited nucleus can decay by emitting proton, neutron, alpha and light particles or photons. By performing photonuclear reaction on the target, it can be easily investigated low-lying excited states of the nuclei. In the present work, (γ, n) photonuclear reaction cross-sections on different calcium isotopes have been estimated by using artificial neural network method. The method is a mathematical model that mimics the brain functionality of the creatures. The correlation coefficient values of the method for both training and test phases being 0.99 indicate that the method is very suitable for this purpose.

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Cite This Article

AKKOYUN, S., KAYA, H. (2020). Estimations of Cross-Sections for Photonuclear Reaction on Calcium Isotopes by Artificial Neural Networks. Sakarya University Journal of Science, Cilt: 24 Sayı: 5, 1115–1120. https://ajindex.com/articles/941892

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