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Conceptual design and load analysis of a Faraday cup-based alpha loss diagnostic for the burning plasma device in China

Title: Conceptual design and load analysis of a Faraday cup-based alpha loss diagnostic for the burning plasma device in China
Authors: Hong, B.; Liu, H.Q.; Ogawa, K.; Nakagawa, S.; Wang, Y.; Murase, T.; Lian, H.; Liu, Y.Y.; Jie, Y.X.; Wang, S.X.; Li, W.M.; Isobe, M.; Zhou, R.J.
Source: Journal of Instrumentation ; volume 21, issue 02, page P02038 ; ISSN 1748-0221
Publisher Information: IOP Publishing
Publication Year: 2026
Description: To investigate the confinement and loss processes of 3.5 MeV α particles in deuterium-tritium (D-T) burning plasma, a four-detector Faraday cup array is designed and installed on the low-field side. The system covers a pitch angle range of 45°–135° and is capable of measuring escaping alpha particles with typical MeV energy and Larmor radii. Using the collisionless Lorentz orbit code (LORBIT), the particle orbit characteristics and the pitch-angle acceptance of the detectors were evaluated, leading to the optimization of detector placement, aperture design, and Faraday cup film structure. Furthermore, thermal and electromagnetic (EM) load analyses were performed, and the water-cooling structure was optimized. The results show that, under both steady-state and extreme transient conditions, the maximum local temperature of the detector is maintained at approximately 685°C, with the electromagnetic forces remaining below 6 N. These findings confirm the physical and engineering feasibility of the proposed diagnostic system for use in a burning plasma device.
Document Type: article in journal/newspaper
Language: unknown
DOI: 10.1088/1748-0221/21/02/p02038
DOI: 10.1088/1748-0221/21/02/P02038
DOI: 10.1088/1748-0221/21/02/P02038/pdf
Availability: https://doi.org/10.1088/1748-0221/21/02/p02038; https://iopscience.iop.org/article/10.1088/1748-0221/21/02/P02038; https://iopscience.iop.org/article/10.1088/1748-0221/21/02/P02038/pdf
Rights: http://creativecommons.org/licenses/by/4.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining
Accession Number: edsbas.346207ED
Database: BASE