Wavelet analysis of gamma-ray spectra
Wavelet analysis of gamma-ray spectra
复制标题
伽马射线谱的小波分析
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
K. B. Butterfield
中科院分区：
文献类型：
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作者：
Clair J. Sullivan;S. E. Garner;K. B. Butterfield
自2001年9月11日以来，向第一反应人员提供辐射探测器的兴趣越来越大，用于搜索和同位素识别可能走私的特殊核材料（SNM）或放射性弥散装置（RDD）。这些设备通常由低分辨率探测器组成，例如NaI，因此限制了它们的识别能力。本文提出了一种新的低分辨光谱小波分析技术，用于同位素识别。小波分析具有优良的特征局部化的优点，同时与傅立叶分析不同，保持了信号的频率和时间特性。我们将展示这种技术与一系列的伽马射线光谱从典型的手持同位素标识符，说明数字的优点，以应用于这些结果，并讨论未来的算法优化。
Since September 11, 2001, there has been increasing interest in providing first responders with radiation detectors for use in the search for and isotope identification of potentially-smuggled special nuclear material (SNM) or radiological dispersal devices (RDDs). These devices are typically comprised of low-resolution detectors such as NaI, thus limiting their identification abilities. We present a new technique of wavelet analysis of low-resolution spectra for the use in isotope identification. Wavelet analysis has the benefit of excellent feature localization while, unlike with Fourier analysis, maintaining the signal frequency and time characteristics. We will demonstrate this technique with a series of gamma-ray spectra obtained from typical hand-held isotope identifiers, illustrate figures-of-merit to be applied to these results, and discuss future algorithm optimization.