Reconstruction of tritium amount and depth profile in PFMs for fusion reactor using MLEM and BIXS spectra
The maximum likelihood expectation maximization (MLEM) algorithm has been introduced as a robust solution to address the challenges associated with the high condition number of response matrix encountered in the beta ray induced x-ray spectra (BIXS) technique, specifically for the quantitative recon...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2025-01-01
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| Series: | Nuclear Fusion |
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| Online Access: | https://doi.org/10.1088/1741-4326/addad8 |
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| author | Minxiang Shu Zhilin Chen Yang Yang Po Huang Wenxiang Jiang Shenghan Cheng Yu Li |
| author_facet | Minxiang Shu Zhilin Chen Yang Yang Po Huang Wenxiang Jiang Shenghan Cheng Yu Li |
| author_sort | Minxiang Shu |
| collection | DOAJ |
| description | The maximum likelihood expectation maximization (MLEM) algorithm has been introduced as a robust solution to address the challenges associated with the high condition number of response matrix encountered in the beta ray induced x-ray spectra (BIXS) technique, specifically for the quantitative reconstruction of tritium amount and depth profiles within plasma facing materials (PFMs) in a fusion reactor. Results suggest that the MLEM algorithm demonstrates rapid convergence properties in the reconstruction process. The reconstruction error for tritium amount in tungsten with typical tritium distributions can be as low as 0.1% after 10 ^5 -iterations, and the maximum reconstruction error observed in the depth distribution for a single layer consistently remains below 10%. While the reconstruction error for each layer after including the tritium activity as weighted factor is consistently less than 0.5%. Consequently, utilizing MLEM and BIXS techniques, the quantitative determination of tritium within PFMs can be achieved non-destructively, and it is also independent of prior knowledge regarding the tritium amount within the materials. This approach holds significant promise for the assessment of tritium retention, diffusion behavior and the development of tritium removal strategies. |
| format | Article |
| id | doaj-art-0bcc678e9eaa415eb8e4d1715ab3a169 |
| institution | DOAJ |
| issn | 0029-5515 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Nuclear Fusion |
| spelling | doaj-art-0bcc678e9eaa415eb8e4d1715ab3a1692025-08-20T03:12:57ZengIOP PublishingNuclear Fusion0029-55152025-01-0165707600410.1088/1741-4326/addad8Reconstruction of tritium amount and depth profile in PFMs for fusion reactor using MLEM and BIXS spectraMinxiang Shu0Zhilin Chen1https://orcid.org/0000-0002-1342-8255Yang Yang2Po Huang3Wenxiang Jiang4Shenghan Cheng5Yu Li6Institute of Nuclear Physics and Chemistry, China Academy of Engineering Physics , Mianyang City, Sichuan 621900, ChinaInstitute of Nuclear Physics and Chemistry, China Academy of Engineering Physics , Mianyang City, Sichuan 621900, ChinaInstitute of Nuclear Physics and Chemistry, China Academy of Engineering Physics , Mianyang City, Sichuan 621900, ChinaInstitute of Nuclear Physics and Chemistry, China Academy of Engineering Physics , Mianyang City, Sichuan 621900, ChinaInstitute of Nuclear Physics and Chemistry, China Academy of Engineering Physics , Mianyang City, Sichuan 621900, ChinaInstitute of Nuclear Physics and Chemistry, China Academy of Engineering Physics , Mianyang City, Sichuan 621900, ChinaInstitute of Nuclear Physics and Chemistry, China Academy of Engineering Physics , Mianyang City, Sichuan 621900, ChinaThe maximum likelihood expectation maximization (MLEM) algorithm has been introduced as a robust solution to address the challenges associated with the high condition number of response matrix encountered in the beta ray induced x-ray spectra (BIXS) technique, specifically for the quantitative reconstruction of tritium amount and depth profiles within plasma facing materials (PFMs) in a fusion reactor. Results suggest that the MLEM algorithm demonstrates rapid convergence properties in the reconstruction process. The reconstruction error for tritium amount in tungsten with typical tritium distributions can be as low as 0.1% after 10 ^5 -iterations, and the maximum reconstruction error observed in the depth distribution for a single layer consistently remains below 10%. While the reconstruction error for each layer after including the tritium activity as weighted factor is consistently less than 0.5%. Consequently, utilizing MLEM and BIXS techniques, the quantitative determination of tritium within PFMs can be achieved non-destructively, and it is also independent of prior knowledge regarding the tritium amount within the materials. This approach holds significant promise for the assessment of tritium retention, diffusion behavior and the development of tritium removal strategies.https://doi.org/10.1088/1741-4326/addad8fusiontritiumtritium retentionBIXS |
| spellingShingle | Minxiang Shu Zhilin Chen Yang Yang Po Huang Wenxiang Jiang Shenghan Cheng Yu Li Reconstruction of tritium amount and depth profile in PFMs for fusion reactor using MLEM and BIXS spectra Nuclear Fusion fusion tritium tritium retention BIXS |
| title | Reconstruction of tritium amount and depth profile in PFMs for fusion reactor using MLEM and BIXS spectra |
| title_full | Reconstruction of tritium amount and depth profile in PFMs for fusion reactor using MLEM and BIXS spectra |
| title_fullStr | Reconstruction of tritium amount and depth profile in PFMs for fusion reactor using MLEM and BIXS spectra |
| title_full_unstemmed | Reconstruction of tritium amount and depth profile in PFMs for fusion reactor using MLEM and BIXS spectra |
| title_short | Reconstruction of tritium amount and depth profile in PFMs for fusion reactor using MLEM and BIXS spectra |
| title_sort | reconstruction of tritium amount and depth profile in pfms for fusion reactor using mlem and bixs spectra |
| topic | fusion tritium tritium retention BIXS |
| url | https://doi.org/10.1088/1741-4326/addad8 |
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