Improvement studies on neutron-gamma separation in HPGe detectors by using neural networks

Serkan AKKOYUN; Tuncay BAYRAM; Seyit KARA

Article Details

Improvement studies on neutron-gamma separation in HPGe detectors by using neural networks

Authors:

Serkan AKKOYUN | Tuncay BAYRAM | Seyit KARA

Publisher:

Sivas Cumhuriyet Üniversitesi

Main Topics:

Applied physics

Journal:

Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 2013 Vol.34 Issue 1, pp.42-51

Document Type:

Article

Publication Date:

1/2013

Document Language:

English

Document ID (Org No.):

2000922114

Frequency:

Quarterly

eISSN:

2587-246X

pISSN:

2587-2680

Abstract:

 


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.

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Article Details

Improvement studies on neutron-gamma separation in HPGe detectors by using neural networks

Authors: Serkan AKKOYUN | Tuncay BAYRAM | Seyit KARA

Publisher: Sivas Cumhuriyet Üniversitesi

Main Topics: Applied physics

Journal: Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 2013 Vol.34 Issue 1, pp.42-51

Document Type: Article

Publication Date: 1/2013

Document Language: English

Document ID (Org No.): 2000922114

Frequency: Quarterly

eISSN: 2587-246X

pISSN: 2587-2680

Issues

Authors:

Serkan AKKOYUN | Tuncay BAYRAM | Seyit KARA

Publisher:

Sivas Cumhuriyet Üniversitesi

Main Topics:

Applied physics

Journal:

Cumhuriyet Üniversitesi Fen Edebiyat Fakültesi Fen Bilimleri Dergisi 2013 Vol.34 Issue 1, pp.42-51

Document Type:

Article

Publication Date:

1/2013

Document Language:

English

Document ID (Org No.):

2000922114

Frequency:

Quarterly

eISSN:

2587-246X

pISSN:

2587-2680