arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2511.04443physics.ins-dethep-ex
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SiPM 中后脉冲与串扰事件的一阶统计量

First order statistic of afterpulsing and crosstalk events in SiPMs

Sergey Vinogradov

AI总结:

本文将次序统计量方法用于 SiPM 中相关事件与暗计数混合的首个到达时间分布,把分支泊松串扰模型扩展至后脉冲,并揭示种子数增加使首达时间分布变窄的规律。

摘要:

本文简要提出一种次序统计量方法,用于描述在相关计数过程与暗计数过程混合情况下,一次初始雪崩击穿之后首个被探测事件的时间分布。常用的次序统计量方法通常用于描述闪烁探测器的时间分辨率,本文将其应用于相关事件的到达时间。已有的将串扰建模为分支泊松过程的模型被扩展至后脉冲情形,相关事件从其种子——即能够触发二次雪崩击穿的自由(脱陷或扩散)电荷载流子——开始考虑。所提出的方法能够提取与暗计数混合的延迟串扰和后脉冲事件的定时信息,并预测随着种子数量增加,首个到达时间的分布会变窄,这对应于相关事件概率的升高。

英文摘要:

This paper briefly presents an order statistic approach to the time distribution of the first detected event after a primary avalanche breakdown from a mixture of correlated and dark counting processes. The well-known order statistic method, commonly used to describe the time resolution of scintillation detectors, is applied to the arrival times of correlated events. The established model of crosstalk as a branching Poisson process is extended to afterpulsing, and correlated events are considered starting from their seeds -- free (de-trapped or diffused) charge carriers capable of triggering secondary avalanche breakdowns. The proposed approach enables the extraction of timing information for delayed crosstalk and afterpulsing events mixed with dark counts and predicts that the distribution of the first arrival time narrows as the number of seeds increases, corresponding to a higher probability of correlated events.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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