Estimations of Radiation Yields for Electrons in Various Absorbing Materials

In this paper radiation yields for electrons in various absorbing material water, Carbon, Aluminum, Copper, Lead and Uranium in the initial electron energy range between 10 keV to 1 GeV have been estimated. For this purpose artificial neural network method has been used. It has been seen that the re...

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Bibliographic Details
Published inCumhuriyet Üniversitesi Fen : Edebiyat Fakültesi Fen Bilimleri Dergisi Vol. 37; no. 5; p. 59
Main Authors AKKOYUN, Serkan, BAYRAM, Tuncay, YILDIZ, Nihat
Format Journal Article
LanguageEnglish
Published Cumhuriyet Üniversitesi Fen Bilimleri Fakültesi 27.11.2016
Subjects
Biyoloji
Elektrik-Elektronik
Mühendislik
Sivas
Türkiye
atom numarası
Yapay Sinir Ağları
Artificial Neural Networks
Radyasyon verimi
Radiation yield
atomic number
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Summary:In this paper radiation yields for electrons in various absorbing material water, Carbon, Aluminum, Copper, Lead and Uranium in the initial electron energy range between 10 keV to 1 GeV have been estimated. For this purpose artificial neural network method has been used. It has been seen that the results are in good agreement with the available theoretical values. The root mean square error values have been found between 0.00031 and 0.0071 MeV.
ISSN:1300-1949
1300-1949
DOI:10.17776/csj.87519