Improvement studies on neutron-gamma separation in HPGe detectors by using neural networks
Yükleniyor...
Tarih
2013
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Cumhuriyet Science Journal
Erişim Hakkı
Özet
The neutrons emitted in heavy-ion fusion-evaporation (HIFE) reactions together with the gamma-rays cause unwanted backgrounds in gamma-ray spectra. Especially in the nuclear reactions where relativistic ion beams (RIBs) are used, these neutrons are serious problem. They have to be rejected in order to obtain clearer gamma-ray peaks. In this study, the radiation energy and three criteria which are previously determined for separation of neutron and gamma-rays in the HPGe detectors have been used in artificial neural network (ANN) for improving of the decomposition power. According to the preliminary results, by the help of ANN method, the ratio of neutron rejection has been improved by a factor of 1.27 and the ratio of the lost in gamma-rays has been decreased by a factor of 0.5.
Açıklama
Anahtar Kelimeler
HPGe detectors, Gamma - raytracking, Artificial neural network, Geant4, Neutron-gamma separation
Kaynak
WoS Q DeÄŸeri
Scopus Q DeÄŸeri
Cilt
Sayı
Künye
Akkoyun, S., Bayram, T., Kara, S. O. "Improvement studies on neutron-gamma separation in HPGe detectors by using neural networks". Cumhuriyet Science Journal, 34 (2013) 42-51.
