2016 Fiscal Year Final Research Report
Large Deviation Statistical Analysis on Plasma Turbulence based on Conditional Averaging
| Project/Area Number |
26420852
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Nuclear fusion studies
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| Research Institution | Kyushu University |
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Principal Investigator |
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Keywords | 条件付平滑化 / プラズマ乱流 / 大偏差統計解析 |
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| Outline of Final Research Achievements |
This study aims at clarifying periodic and non-periodic changes in fluctuation power spectrum by using a conditional averaging based on probability density functions and so on. In analysis on JFT-2M tokamak data, power spectra at plasma edge region are calculated based on each phase of decomposed global Sawtooth pulse, and changes of amplitudes of oscillatory zonal flows and drift-wave turbulence during the Sawtooth was clarified. In analysis on linear plasma device PANTA data, two-dimensional wavenumber structures are reconstructed by correlation analysis, and conditional averaging over phases with and w/o electric biasing clarifies changes in the wavenumber structures during the biasing.
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| Free Research Field |
プラズマ物理
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