基于主成分分析的CUPID-Mo脉冲波形识别
Pulse Shape Discrimination in CUPID-Mo using Principal Component Analysis
摘要：
CUPID-Mo是一种低温探测器阵列，设计用于搜索$^{100}$ Mo的无中微子双β衰变（$0νββ$）。它使用20个配备Ge光探测器的富集$^{100}$ Mo的Li $_2$ MoO $_4$测辐射热计来执行$α$背景的主动抑制，从而大幅降低$0νββ$信号区域中的预期背景。因此，堆积事件和模拟正常信号的小探测器不稳定性成为不可忽略的潜在背景。这些类型的事件原则上可以基于它们的信号形状来消除，这些信号形状不同于规则的测辐射热脉冲的信号形状。我们表明，一个纯粹的数据驱动的主成分分析为基础的方法是能够过滤出这些异常事件，没有探测器响应模拟的帮助。
英文摘要：
CUPID-Mo is a cryogenic detector array designed to search for neutrinoless double-beta decay ($0νββ$) of $^{100}$Mo. It uses 20 scintillating $^{100}$Mo-enriched Li$_2$MoO$_4$ bolometers instrumented with Ge light detectors to perform active suppression of $α$ backgrounds, drastically reducing the expected background in the $0νββ$ signal region. As a result, pileup events and small detector instabilities that mimic normal signals become non-negligible potential backgrounds. These types of events can in principle be eliminated based on their signal shapes, which are different from those of regular bolometric pulses. We show that a purely data-driven principal component analysis based approach is able to filter out these anomalous events, without the aid of detector response simulations.
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