On estimating the background of remote sensing gamma-ray spectroscopic data
On estimating the background of remote sensing gamma-ray spectroscopic data
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DOI：
10.1016/j.nima.2016.06.134
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发表时间：
2016-10
影响因子：
1.4
通讯作者：
Meng‐Hua Zhu
中科院分区：
文献类型：
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作者：
Meng‐Hua Zhu
本文考虑了伽马射线能谱的逆计数累积过程，并推导了一种迭代滤波方法来估计行星表面遥感观测中噪声光谱数据的背景。与SNIP方法相比，该方法避免了计算整个光谱或峰区域的平均FWHM，这是SNIP方法的重要参数。合成和实验光谱用于验证推导的方法。结果表明，该方法可以有效地估计背景，特别是对于具有康普顿连续谱的光谱数据。此外，通过将所提出的方法与SNIP方法相结合，可以轻松确定平均FWHM，从而可以用来验证探测器的特性。
In this paper, we considered the inverse count accumulation process of gamma-ray spectrum and derived an iterative filtering method to estimate the background of noisy spectroscopic data for the remote sensing observations of planetary surface. Compared with the SNIP method, the proposed method avoids the calculation of the average FWHM of the whole spectrum or the peak regions, which is an important parameter for the SNIP method. The synthetic and experimental spectra are used to validate the derived method. The results show that the proposed method can estimate the background efficiently, especially for the spectroscopic data with Compton continuum. In addition, by combining the proposed method and the SNIP method, the average FWHM can be determined easily, which can be used to validate the characteristics of detector.