dc.contributor.author | Akkoyun, S. | |
dc.date.accessioned | 2019-07-27T12:10:23Z | |
dc.date.accessioned | 2019-07-28T09:59:58Z | |
dc.date.available | 2019-07-27T12:10:23Z | |
dc.date.available | 2019-07-28T09:59:58Z | |
dc.date.issued | 2013 | |
dc.identifier.issn | 0306-4549 | |
dc.identifier.uri | https://dx.doi.org/10.1016/j.anucene.2013.01.006 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12418/8728 | |
dc.description | WOS: 000317157800034 | en_US |
dc.description.abstract | In gamma-ray spectroscopy, a number of neutrons are emitted from the nuclei together with the gamma-rays. These neutrons influence gamma-ray spectra. An obvious method for discrimination between neutrons and gamma-rays is based on the time-of-flight (tot) technique. In this work, the tof distributions of gamma-rays and neutrons were obtained both experimentally and by using artificial neural networks (ANNs). It was shown that, ANN can correctly classify gamma-ray and neutron events. Also, for highly nonlinear detector response for tof, we have constructed consistent empirical physical formulas (EPFs) by appropriate ANNs. These ANN-EPFs can be used to derive further physical functions which could be relevant to discrimination between gamma-rays and neutrons. (C) 2013 Elsevier Ltd. All rights reserved. | en_US |
dc.description.sponsorship | Cumhuriyet University (BAP) [F-361] | en_US |
dc.description.sponsorship | This work was supported by Cumhuriyet University (BAP Proj. no. F-361). The author thanks to the reviewer for great contributions. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | en_US |
dc.relation.isversionof | 10.1016/j.anucene.2013.01.006 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Artificial neural network | en_US |
dc.subject | Time-of-flight | en_US |
dc.subject | Monte Carlo simulation | en_US |
dc.subject | HPGe detector | en_US |
dc.title | Time-of-flight discrimination between gamma-rays and neutrons by using artificial neural networks | en_US |
dc.type | article | en_US |
dc.relation.journal | ANNALS OF NUCLEAR ENERGY | en_US |
dc.contributor.department | Cumhuriyet Univ, Dept Phys, Fac Sci, Sivas, Turkey | en_US |
dc.identifier.volume | 55 | en_US |
dc.identifier.endpage | 301 | en_US |
dc.identifier.startpage | 297 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |