Regular Article - Experimental Physics
Study on grid inefficiency for mesh-type Frisch-grid ionization chambers
School of Nuclear Science and Technology, Lanzhou University, Tianshui South Road No. 222, 730000, Lanzhou, China
2 Engineering Research Center for Neutron Application Technology, Ministry of Education, Lanzhou University, Tianshui South Road No. 222, 730000, Lanzhou, China
3 Institute of Advanced Science Facilities, Zhenyuan Road No. 268, 518000, Shenzhen, China
Accepted: 25 June 2022
Published online: 6 August 2022
In this study, the grid inefficiency for a mesh-type Frisch-grid ionization chamber (FGIC) was investigated using the finite element method and Monte Carlo method. A grid inefficiency evaluation model was developed, which can determine the relationship between the physical parameters of the detector and the grid inefficiency with reasonable accuracy. An artificial neural network (ANN) was applied in the investigation of the grid inefficiency factor . The trained ANN was able to describe and predict the grid inefficiency factor with different physical parameters for the mesh-type FGIC. Thus, it can serve as a reference for the development of mesh-type FGICs and correct grid inefficiency measurements.
© The Author(s) 2022
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Funded by SCOAP3. SCOAP3 supports the goals of the International Year of Basic Sciences for Sustainable Development.