A Nonlinear Wavelet Method for Data Smoothing of Low-level Gamma-ray Spectra

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概要

• 論文の詳細を見る

• A nonlinear wavelet method was designed for smoothing low-level gamma-ray spectra. The spectra of a 60Co graduated radioactive source and a mixed soil sample were smoothed respectively according to this method and a 5 point smoothing method. The FWHM of 1,332 keV peak of 60Co source and the absolute activities of 238U of soil sample were calculated. The results show that the nonlinear wavelet method is better than the traditional method, with less loss of spectral peak and a more complete reduction of statistical fluctuation.

• 社団法人 日本原子力学会の論文
• 2004-01-25

著者

• Gang Xiao

  Computational Physics Laboratory Institute Of Applied Physics And Computational Mathematics

• Li Deng

  Computational Physics Laboratory Institute Of Applied Physics And Computational Mathematics

• Benai Zhang

  Computational Physics Laboratory Institute Of Applied Physics And Computational Mathematics

• JIANSHI Zhu

  Computational physics laboratory, Institute of applied physics and computational mathematics

• Jianshi Zhu

  Computational Physics Laboratory Institute Of Applied Physics And Computational Mathematics

関連論文

• A Nonlinear Wavelet Method for Data Smoothing of Low-level Gamma-ray Spectra

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