Design and Verification of Beam Diagnostics System for Pepper-Pot Method

The pepper-pot method is a beam diagnostics technique used to measure the transverse beam profile, divergence angle, and envelope in particle accelerators. However, its practical application faces challenges, such as insufficient point recognition accuracy and signal quality degradation in complex environments. Based on the Boron Neutron Capture Therapy (BNCT) facility at the Hefei Comprehensive National Science Center—Energy Research Institute (Anhui Energy Laboratory), this study developed an improved pepper-pot beam diagnostics system to optimize the beam quality of the accelerator ion source. The key innovation is adaptive threshold segmentation for spot segmentation, and the experimental results indicate that the enhanced image segmentation method outperforms traditional methods in terms of segmentation accuracy and robustness.

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Publication Details

Journal
Applied Sciences
Published
2025-08-14
DOI
https://doi.org/10.3390/app15168952
Citations
1
Primary Topic
Flow Measurement and Analysis
Type
article
Field-Weighted Citation Impact
0.86

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Design and Verification of Beam Diagnostics System for Pepper-Pot Method

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Design and Verification of Beam Diagnostics System for Pepper-Pot Method

Lizhen Liang, Renli Zhu, Peng Lu, Tian Lan, Yuzhong Qian, Xianfang Bao
article en
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Abstract

The pepper-pot method is a beam diagnostics technique used to measure the transverse beam profile, divergence angle, and envelope in particle accelerators. However, its practical application faces challenges, such as insufficient point recognition accuracy and signal quality degradation in complex environments. Based on the Boron Neutron Capture Therapy (BNCT) facility at the Hefei Comprehensive National Science Center—Energy Research Institute (Anhui Energy Laboratory), this study developed an improved pepper-pot beam diagnostics system to optimize the beam quality of the accelerator ion source. The key innovation is adaptive threshold segmentation for spot segmentation, and the experimental results indicate that the enhanced image segmentation method outperforms traditional methods in terms of segmentation accuracy and robustness.

Applied SciencesVol. 15(16)
Anhui University of Science and Technology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 26%
Flow Measurement and Analysis
0.86
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