Gamma spectral analysis by artificial neural network coupled with Monte Carlo simulations
Yazarlar (2)
Dr. Öğr. Üyesi Hüseyin ŞAHİNER Sinop Üniversitesi, Türkiye
Xin Liu College Of Engineering And Computing, Amerika Birleşik Devletleri
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (Q2) | ||
| Dergi ISSN | 0168-9002 Dergi Bilgileri (2020) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 02-2020 |
| Cilt / Sayı / Sayfa | 953 / 1 / 163062– | DOI | 10.1016/j.nima.2019.163062 |
| Makale Linki | https://linkinghub.elsevier.com/retrieve/pii/S016890021931410X | ||
| UAK Araştırma Alanları |
Nükleer Bilimler
|
||
| Özet |
| Neutron activation analysis has been widely used for quantitative analysis. It can quantify elements in parts per million or billion. Artificial neural network is an attractive technique to analyze complex gamma spectra obtained from neutron activation. This study offers an improved methodology to analyze neutron activation gamma spectra using an artificial neural network. The methodology was demonstrated by quantifying five trace elements (Br, Na, Zn, K, Au) in common kidney stones. First, Monte Carlo simulations were used to create a large training data set. Then, an artificial neural network was employed for chemical elements identification analysis. For quantitative analysis, a Levenberg–Marquardt algorithm with 5− 23− 5 structure artificial neural network was used. The artificial neural network for analysis of simulated gamma spectra resulted in estimated element concentrations. The differences between true … |
| Anahtar Kelimeler |
| Gamma spectroscopy | Kidney stone | Monte Carlo | Neural network |
Science Direct
Gamma spectral analysis by artificial neural network coupled with Monte Carlo simulations
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 20 |
| Google Scholar | 27 |