用于数字gamma-ray光谱学的分段模数转换器中微分非线性的校正方法
A method to correct differential nonlinearities in subranging analog-to-digital converters used for digital gamma-ray spectroscopy
摘要：
研究了用于数字$γ$射线谱仪的分段流水线模数转换器（ADC）中微分非线性（DNL）对$γ$射线谱的影响。本文系统地研究了DNL误差对$γ$射线谱的影响，它取决于输入计数率和动态范围。结果表明，随着光谱系统的动态范围的增大，DNL在$γ$射线光谱中变得更加显著。开发了一种逐事件离线校正算法，并进行了广泛的测试。该校正算法对于高动态范围尤其有效。
英文摘要：
The influence on $γ$-ray spectra of differential nonlinearities (DNL) in subranging, pipelined analog-to-digital converts (ADCs) used for digital $γ$-ray spectroscopy was investigated. The influence of the DNL error on the $γ$-ray spectra, depending on the input count-rate and the dynamic range has been investigated systematically. It turned out, that the DNL becomes more significant in $γ$-ray spectra with larger dynamic range of the spectroscopy system. An event-by-event offline correction algorithm was developed and tested extensively. This correction algorithm works especially well for high dynamic ranges.
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