High‐Performance Single‐Crystal Diamond Detector for Accurate Pulse Shape Discrimination Based on Self‐Organizing Map Neural Networks
At a Glance
Section titled “At a Glance”| Metadata | Details |
|---|---|
| Publication Date | 2021-12-01 |
| Journal | Advanced Photonics Research |
| Authors | Guangwei Huang, Zhiyuan Li, Zun-Gang Wang, Wurui Song, Kun Wu |
| Institutions | Institute of Semiconductors, University of Chinese Academy of Sciences |
Abstract
Section titled “Abstract”Single-Crystal Diamond DetectorsA high-performance single-crystal diamond (SCD) detector (4.5 × 4.5 × 0.3 mm3) is demonstrated in article number 2100138 by Chun-Zhi Zhou, Yi-Yun Zhang, and co-workers. Enabled by a machine learning method based on self-organizing map neural networks as a proof of concept, the SCD detector has demonstrated its potential for accurate pulse shape discrimination, which can effectively distinguish particle radiations in harsh and complex radiation conditions.