Decision trees for optimizing the minimum detectable concentration of radioxenon detectors.
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DOI: 10.1016/j.jenvrad.2021.106542
Abstract: We present a novel application of machine learning techniques to optimize the design of a radiation detection system. A decision tree-based algorithm is described which greedily optimizes partitioning of energy depositions based on a minimum… read more here.
Keywords: decision trees; radioxenon; minimum detectable; detectable concentration ... See more keywords