2018
DOI: 10.1088/1741-4326/aae4e6
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Benchmark of gyrokinetic, kinetic MHD and gyrofluid codes for the linear calculation of fast particle driven TAE dynamics

Abstract: Fast particles in fusion plasmas may drive Alfvén modes unstable leading to fluctuations of the internal electromagnetic fields and potential loss of particles. Such instabilities can have an impact on the performance and the wall-load of machines with burning plasmas such as ITER. A linear benchmark for a toroidal Alfvén eigenmode (TAE) is done with 11 participating codes with a broad variation in the physical as well as the numerical models. A reasonable agreement of around 20% has been found for the growth … Show more

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Cited by 62 publications
(81 citation statements)
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“…The solver modifications needed for the pullback scheme implementation have been described. The new scheme has been verified using the ITPA-TAE benchmark [19,20] both in the linear and nonlinear regimes. A considerable improvement of the code efficiency has been observed.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The solver modifications needed for the pullback scheme implementation have been described. The new scheme has been verified using the ITPA-TAE benchmark [19,20] both in the linear and nonlinear regimes. A considerable improvement of the code efficiency has been observed.…”
Section: Discussionmentioning
confidence: 99%
“…Whereas the control variate mitigation is capable reproducing only the first three points, becoming numerically unstable for larger time steps, the pullback works robustly even for time steps two orders of magnitude larger than the time steps typically used for the electromagnetic simulations with the control variate only. In this simulation, the fast-ion density has been ten times larger (corresponding to 3% particle content) comparing to the standard "ITPA-TAE" benchmark [19,20]. This makes the simulations faster and more robust.…”
Section: Toroidal Alfvén Eigenmodementioning
confidence: 93%
“…The equations of motion for each computational particle are solved using a fourth-order Runge-Kutta method. MEGA code participated in the code benchmark of the Energetic Particle Physics Topical Group of the International Tokamak Physics Activity [43]. Good agreements were found in the spatial profile, frequency, and growth rate of a TAE among the seven codes without the energetic ion FLR effects and among the six codes with the FLR effects.…”
Section: Simulation Model 21 Hybrid Simulation Model For Energetic mentioning
confidence: 97%
“…When considered, the fast particles have a density profile peaked on axis (see Fig.3 on the left). The magnetic equilibrium and profiles are those of the ITPA-TAE international benchmark case [6] and the safety factor profile is shown in Fig.3 on the right. The main results that will be displayed in this section, have been obtained considering heavier electrons: m e = m H /200.…”
Section: Landau Dampingmentioning
confidence: 99%
“…In the simulations in Section 4, a small but finite inverse aspect ratio will be considered, using the equilibrium profiles of the International Tokamak Physics Activity (ITPA, see Ref. [6]). In Section 5 the studies on the linear and nonlinear growth rate and frequency spectra conducted considering experimental profiles from the NLED-AUG case [7] will be presented.…”
Section: Introductionmentioning
confidence: 99%