Optimization design of the large area Dynode-MCP-PMT

Lin Chen; Xingchao Wang; Jianli He; Liping Tian; Jinshou Tian; Qilong Wang; Yunji Wang; Jie Yang; Junshuo Qian; Fan Zhang

doi:10.1038/s41598-022-14671-3

Scientific Reports (Jun 2022)

Optimization design of the large area Dynode-MCP-PMT

Lin Chen,
Xingchao Wang,
Jianli He,
Liping Tian,
Jinshou Tian,
Qilong Wang,
Yunji Wang,
Jie Yang,
Junshuo Qian,
Fan Zhang

Affiliations

Lin Chen: School of Network and Communication Engineering, Jinling Institute of Technology
Xingchao Wang: School of Electronic Science and Engineering, Southeast University
Jianli He: Inner Mongolia University of Science and Technology
Liping Tian: School of Network and Communication Engineering, Jinling Institute of Technology
Jinshou Tian: State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics (XIOPM), Chinese Academy of Sciences (CAS)
Qilong Wang: School of Electronic Science and Engineering, Southeast University
Yunji Wang: School of Network and Communication Engineering, Jinling Institute of Technology
Jie Yang: School of Network and Communication Engineering, Jinling Institute of Technology
Junshuo Qian: School of Network and Communication Engineering, Jinling Institute of Technology
Fan Zhang: School of Network and Communication Engineering, Jinling Institute of Technology

DOI: https://doi.org/10.1038/s41598-022-14671-3
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 7

Abstract

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Abstract The optimization work of a newly proposed 20-in. photomultiplier tube based on dynode and microchannel plates (Dynode-MCP-PMT) are conducted in this paper. Three-dimensional models are developed in CST STUDIO SUITE to systematically investigate the effects of the size and bias voltage of the two focusing electrodes, dynode and the glass envelop handle based on the Finite Integral Technique and Monte Carlo method. Results predict that the collection efficiency and the transit time spread of the optimized design are substantially improved which are 100% and 3.7 ns.

Published in Scientific Reports

ISSN: 2045-2322 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Medicine; Science
Website: https://www.nature.com/srep/

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