Quasi-continuous re-binning of measured spectra and associated uncertainties

H. Dombrowski
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Abstract

As part of an evaluation of gamma-ray spectra or other spectra, the need to adapt the binning quasi-continuously may arise. Often, the re-distribution of measured events to a new energy scale may be required. The necessity to change the energy scale can have several reasons. Frequently, a drift of the detector or the amplifier leads to different energy scales of measured spectra in time. In order to calculate difference spectra or sum spectra, the energy axis and binning of all spectra has to be adapted. Moreover, before a spectrum is unfolded, its energy axis also has to be adapted to the energy scale of the response matrix. Widespread commercial software packages, which are commonly used for the analysis of spectra, do not include an algorithm which solves this task. Three algorithms are presented in this work after shedding light on the mathematical background. An analysis of the statistical uncertainty of the counts of re-binned or remapped spectra completes this paper.
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测量光谱的准连续重新分档及相关不确定性
在对伽马射线光谱或其他光谱进行评估时,可能需要准连续地调整分档。通常,可能需要将测量到的事件重新分配到一个新的能级上。改变能级的原因有多种。探测器或放大器的漂移经常会导致测量光谱的能级随时间发生变化。为了计算差分光谱或总和光谱,必须调整所有光谱的能量轴和分档。此外,在展开光谱之前,其能量轴也必须适应响应矩阵的能量标度。常用于光谱分析的各种商业软件包都不包含解决这一问题的算法。在阐明数学背景后,本研究提出了三种算法。本文最后还分析了重新分选或重新映射光谱计数的统计不确定性。
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