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  1. 学術雑誌等掲載論文
  2. Nuclear Instruments & Methods in Physics Research Section A

Application of neural networks for the analysis of gamma-ray spectra measured with a Ge spectrometer

https://hbg.repo.nii.ac.jp/records/4347
https://hbg.repo.nii.ac.jp/records/4347
fe33b2cd-1ae6-4144-a1f5-81a180c0b397
名前 / ファイル ライセンス アクション
oka_takamitsu_020542.pdf oka_takamitsu_020542.pdf (507.6 kB)
Item type 一般雑誌記事 / Article(1)
公開日 2023-03-15
タイトル
タイトル Application of neural networks for the analysis of gamma-ray spectra measured with a Ge spectrometer
言語 en
言語
言語 eng
キーワード
主題Scheme Other
主題 Gamma-ray spectrometr
キーワード
主題Scheme Other
主題 Neural network
キーワード
主題Scheme Other
主題 Radioisotope identification
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ article
著者 Yoshida, Eiji

× Yoshida, Eiji

en Yoshida, Eiji

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Shizuma, Kiyoshi

× Shizuma, Kiyoshi

en Shizuma, Kiyoshi

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Endo, Satoru

× Endo, Satoru

en Endo, Satoru

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Oka, Takamitsu

× Oka, Takamitsu

en Oka, Takamitsu

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Yoshida, Eiji

× Yoshida, Eiji

en Yoshida, Eiji

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Shizuma, Kiyoshi

× Shizuma, Kiyoshi

en Shizuma, Kiyoshi

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Endo, Satoru

× Endo, Satoru

en Endo, Satoru

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Oka, Takamitsu

× Oka, Takamitsu

en Oka, Takamitsu

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抄録
内容記述タイプ Abstract
内容記述 The analysis of gamma-ray spectra to identify lines and their intensities usually requires expert knowledge and timeconsuming calculations with complex fitting functions. A neural network algorithm can be applied to a gamma-ray spectral analysis owing to its excellent pattern recognition characteristics. However, a gamma-ray spectrum typically having 4096 channels is too large as a typical input data size for a neural network. We show that by applying a suitable peak search procedure, gamma-ray data can be reduced to peak energy data, which can be easily managed as input by neural networks. The method was applied to the analysis of gamma-ray spectra composed of mixed radioisotopes and the spectra of uranium ores. Radioisotope identification was successfully achieved.
書誌情報 Nuclear Instruments & Methods in Physics Research Section A

巻 484, p. 557-563, 発行日 2002-05
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内容記述タイプ Other
内容記述 application/pdf
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