journal article·2021-08-01Open access

Application of transient transport analysis method for modulation experiment

Y. Ohtani, M. Yoshida, M. Honda, E. Narita

AIP Advances· Volume 11· Issue 8

Abstract

A transient TRansport Analysis method for Modulation (t-TRAM) has been developed. This method consists of two methods. One is an instantaneous modulation analysis method using the Hilbert transform (HT) with the analytical mode decomposition (AMD). In the modulation experiments, plasma transport can be changed periodically by modulated external input. Profiles of the modulation amplitude and phase change in time due to the change in the plasma transport. The HT with AMD method can evaluate an instantaneous analytic signal in the presence of changes in the modulation amplitude and phase in time. The other is a transport analysis method to evaluate the diffusion coefficient and the convection velocity from the analytic signal. The t-TRAM has enabled us to evaluate a momentum diffusion coefficient and momentum convection velocity in the presence of a momentum source. The t-TRAM is applied to momentum modulation experiments in JT-60U. The evaluation reveals that a normalized momentum flux has a linear dependence on a normalized momentum gradient during a half cycle of the modulation.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Magnetic confinement fusion research · Nuclear reactor physics and engineering · Laser-Plasma Interactions and Diagnostics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

National Institutes for Quantum and Radiological Science and Technology 1 , 801-1 Mukoyama, Naka, Ibaraki 311-0193, Japan

Graduate School of Engineering, Kyoto University 2 , Kyoto-daigaku-katsura, Nishikyo-ku, Kyoto 615-8530, Japan

References (23)

Show source-provided references
1. Transport studies in the TEXT tokamak10.1088/0741-3335/26/12a/006 ↗
2. Perturbative particle transport studies in the W7-AS stellarator10.1088/0029-5515/40/3/307 ↗
3. Effects of core stochastization on particle and momentum transport10.1088/1741-4326/abd6b1 ↗
4. Particle transport of electron cyclotron resonant heating plasma in large helical device10.1088/1361-6587/ab5b1f ↗
5. Electron heat transport and ECRH modulation experiments in Tore Supra tokamak10.1088/0029-5515/43/11/013 ↗
6. Characteristics of momentum transport in JT-60U H-mode plasmas10.1088/0029-5515/49/11/115028 ↗
7. Momentum transport and plasma rotation profile in toroidal direction in JT-60U L-mode plasmas10.1088/0029-5515/47/8/017 ↗
8. Investigation of toroidal rotation modulation and momentum transport with electrode biasing in J-TEXT tokamak10.1088/1361-6587/aae297 ↗
9. Perturbative transport studies in fusion plasmas10.1088/0741-3335/37/8/001 ↗
10. How is turbulence intensity determined by macroscopic variables in a toroidal plasma?10.1088/0029-5515/53/11/113006 ↗
11. Simulation study of hysteresis in the gradient-flux relation in toroidal plasma turbulence10.1088/0741-3335/57/4/044010 ↗
12. Theory of communication10.1049/ji-3-2.1946.0074 ↗
13. A review on Hilbert-Huang transform: Method and its applications to geophysical studies10.1029/2007RG000228 ↗
14. A new view of nonlinear water waves: The Hilbert spectrum10.1146/annurev.fluid.31.1.417 ↗
15. Analytical mode decomposition of time series with decaying amplitudes and overlapping instantaneous frequencies10.1088/0964-1726/22/9/095003 ↗
16. A simple boundary process technique for empirical mode decomposition
17. Yag laser Thomson scattering diagnostic on the JT-60U10.1063/1.1149392 ↗
18. Multichordal charge exchange recombination spectroscopy on the JT-60U tokamak10.1063/1.1332115 ↗
19. Simulation technique of free-boundary equilibrium evolution in plasma ramp-up phase10.1016/j.cpc.2010.04.014 ↗
20. Effect of toroidal field ripple on fast ion behavior in a tokamak10.1143/JPSJ.50.1726 ↗
21. Information theory and an extension of the maximum likelihood principle
22. Z. Wang, “Hilbert transform applications in signal analysis and non-parametric identification of linear and nonlinear systems,” Ph.D. thesis, Missouri University of Science and Technology, 2012.
23. 1962