Bibliographic Details
| Title: |
Efficiency calculation of the nMCP with 10B doping based on mathematical models |
| Authors: |
Jianqing Yang, Jianrong Zhou, Lianjun Zhang, Jinhao Tan, Xingfen Jiang, Jianjin Zhou, Xiaojuan Zhou, Linjun Hou, Yushou Song, XinLi Sun, Quanhu Zhang, Zhijia Sun, Yuanbo Chen |
| Source: |
Nuclear Engineering and Technology, Vol 53, Iss 7, Pp 2364-2370 (2021) |
| Publisher Information: |
Elsevier, 2021. |
| Publication Year: |
2021 |
| Collection: |
LCC:Nuclear engineering. Atomic power |
| Subject Terms: |
nMCP, Detection efficiency, Mathematical model, Nuclear engineering. Atomic power, TK9001-9401 |
| More Details: |
The nMCP (Neutron sensitive microchannel plate) combined with advanced readout electronics is widely used in energy selective neutron imaging because of its good spatial and timing resolution. Neutron detection efficiency is a crucial parameter for the nMCP. In this paper, a mathematical model based on the oblique cylindrical channel and elliptical pore was established to calculate the neutron absorption probability, the escape probability of charged particles and overall detection efficiency of nMCP and analyze the effects of neutron incident position, pore diameter, wall thickness and bias angle. It was shown that when the doping concentration of the nMCP was 10 mol%, the thickness of nMCP was 0.6 mm, the detection efficiency could reach maximum value, about 24% for thermal neutrons if the pore diameter was 6 μm, the wall thickness was 2 μm and the bias angle was 3 or 6°. The calculated results are of great significance for evaluating the detection efficiency of the nMCP. In a subsequent companion paper, the mathematical model would be extended to the case of the spatial resolution and detection efficiency optimization of the coating nMCP. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1738-5733 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S1738573321000474; https://doaj.org/toc/1738-5733 |
| DOI: |
10.1016/j.net.2021.01.026 |
| Access URL: |
https://doaj.org/article/223dd3b3986a43a1b0fe4e83cc9aae32 |
| Accession Number: |
edsdoj.223dd3b3986a43a1b0fe4e83cc9aae32 |
| Database: |
Directory of Open Access Journals |
