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中文摘要：
低水平α能谱测量中，由于α射线的统计涨落和探测器电子学电路的噪声，所得α能谱有严重的谱线噪声。为给精确的α能谱解谱工作做预处理，我们用基于金硅面垒探测器的便携式α能谱仪，在不同真空度下测量239Pu的α能谱，将离散小波变换法应用于α能谱去噪光滑处理，并提出光滑效果评价的新方法。结果表明，与传统多项式最小二乘法相比较，对低水平、高噪声的α能谱去噪，离散小波变换法效果更优。
英文摘要：
Background： The α particle has a strong ionization but weak penetration ability, and some factors, such as α radioactive source self-absorption, incomplete charge collection, electronic noise and statistical fluctuation, etc. have significant influence on the experimental α spectra synthetically, which can lead to a long tail at low-energy side and serious spectra noise. Purpose： The aim is to reduce the statistical fluctuation and electronics noise in detector, so as to preprocess data for the deconvolution of α spectra. Methods： In this study a portable α spectrometer with a Au-Si surface barrier detector was applied to obtain α spectra of 239Pu under vacuum conditions of -0.01 MPa, -0.02 MPa, -0.03 MPa, -0.04 MPa and -0.05 MPa. A discrete wavelet transform （DWT） method for α spectra smoothing and a new smoothing evaluation method were proposed, and tested on those spectra data for comparative study. Results： The results showed that DWT method had less damage on the peak compared with least squares polynomial smoothing method. The D（r） and ξ values of DWT were greater and x2 values were closer to 1 compared with those of least squares polynomial smoothing method. Conclusion： The DWT method is better than the traditional least squares polynomial smoothing method in smoothing low-level and high noise α spectra.
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