BAYESIAN ANALYSIS OF DATA FOR A STOCRASTIC DETECTOR

M. Lesimple

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BAYESIAN ANALYSIS OF DATA FOR A STOCRASTIC DETECTOR

机译：随机检测器数据的贝叶斯分析

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A study of the inverse problem, related to individual electron detectors for track nanodosimetry is presented. It is shown that, despite the stochastic character of these detectors, events such as the presence of clusters can be inferred from data independently of the conditions of measurement. An algorithmic reconstruction of the a priori probability distribution of ionisation is proposed.

机译：提出了与轨道纳米剂量的单个电子探测器有关的反问题的研究。结果表明，尽管这些检测器具有随机性，但可以从数据中推断出簇的存在等事件，而与测量条件无关。提出了电离先验概率分布的算法重构。

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《Radiation Protection Dosimetry》 |2000年第2期|93-100|共8页
作者
M. Lesimple;
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收录信息美国《科学引文索引》(SCI);美国《化学文摘》(CA);
原文格式 PDF
正文语种 eng
中图分类 TL72;
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BAYESIAN ANALYSIS OF DATA FOR A STOCRASTIC DETECTOR

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