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A method to correct differential nonlinearities in subranging analog-to-digital converters used for digital gamma-ray spectroscopy

机译:一种纠正分层中微分非线性的方法   用于数字伽马射线光谱学的模数转换器

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摘要

The influence on $\gamma$-ray spectra of differential nonlinearities (DNL) insubranging, pipelined analog-to-digital converts (ADCs) used for digital$\gamma$-ray spectroscopy was investigated. The influence of the DNL error onthe $\gamma$-ray spectra, depending on the input count-rate and the dynamicrange has been investigated systematically. It turned out, that the DNL becomesmore significant in $\gamma$-ray spectra with larger dynamic range of thespectroscopy system. An event-by-event offline correction algorithm wasdeveloped and tested extensively. This correction algorithm works especiallywell for high dynamic ranges.
机译:研究了用于数字伽马射线光谱学的细分,流水线模数转换器(ADC)对差分非线性(DNL)对伽马射线谱的影响。系统地研究了DNL误差对$ \γ$射线光谱的影响,具体取决于输入计数率和动态范围。事实证明,随着光谱系统动态范围的增大,DNL在γ射线光谱中的意义更加明显。逐事件离线校正算法得到了广泛的开发和测试。对于高动态范围,此校正算法特别有效。

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