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| Main Author: | |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.20130 |
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| _version_ | 1866912666798260224 |
|---|---|
| author | Choi, Minjun J. |
| author_facet | Choi, Minjun J. |
| contents | Various methods for leveraging turbulent fluctuation measurements from fusion plasma experiments are introduced, along with selected application examples. These can be categorized into spectral methods, statistical methods, and physics informed neural network based methods, and they are most effective for two-dimensional turbulence measurements, which are now widely accessible. Extracting more information from turbulence data would pave the way for a better understanding of plasma turbulence transport in fusion experiments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_20130 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Leveraging turbulence data from fusion experiments Choi, Minjun J. Plasma Physics Various methods for leveraging turbulent fluctuation measurements from fusion plasma experiments are introduced, along with selected application examples. These can be categorized into spectral methods, statistical methods, and physics informed neural network based methods, and they are most effective for two-dimensional turbulence measurements, which are now widely accessible. Extracting more information from turbulence data would pave the way for a better understanding of plasma turbulence transport in fusion experiments. |
| title | Leveraging turbulence data from fusion experiments |
| topic | Plasma Physics |
| url | https://arxiv.org/abs/2412.20130 |