波形
光电倍增管
中微子
物理
暗物质
匹配(统计)
粒子物理学
计算机科学
电压
光学
探测器
统计
数学
量子力学
作者
Dan Xu,B. D. Xu,Erdun Bao,Yiyang Wu,A.Q. Zhang,Yongya Wang,Guangyi Zhang,Yuesheng Xu,Zeng-Yuan Guo,Ji-Hui Pei,H.Y. Mao,J.S. Liu,Zirui Wang,Shaomin Chen
标识
DOI:10.1088/1748-0221/17/06/p06040
摘要
Abstract Photomultiplier tube (PMT) voltage waveforms are the raw data of many neutrino and dark matter experiments. Waveform analysis is the cornerstone of data processing. We evaluate the performance of all the waveform analysis algorithms known to us and find fast stochastic matching pursuit the best in accuracy. Significant time (up to × 2) and energy (up to × 1.07) resolution boosts are attainable with fast stochastic matching pursuit, approaching theoretical limits. Other methods also outperform the traditional threshold crossing approach in time resolution.
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