2015
DOI: 10.1016/j.cpc.2015.01.015
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ECOM: A fast and accurate solver for toroidal axisymmetric MHD equilibria

Abstract: We present ECOM (Equilibrium solver via COnformal Mapping), a fast and accurate fixed boundary solver for toroidally axisymmetric magnetohydrodynamic equilibria with or without a toroidal flow. ECOM combines conformal mapping and Fourier and integral equation methods on the unit disk to achieve exponential convergence for the poloidal flux function as well as its first and second partial derivatives. As a consequence of its high order accuracy, for dense grids and tokamak-like elongations ECOM computes key qua… Show more

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Cited by 22 publications
(40 citation statements)
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“…where erf(·) is the error function, a and b are natural numbers, and the parameters H and s control the height and the steepness of the barrier respectively. The parameter ψ 0 gives the location of the transport barrier with respect to a common normalization where ψ ∈ [0, 1] [43,17]. In Figure 10 we present the behavior of the pressure as a function of ψ for different parameter values, and thus verify that we are able to model experimentally relevant situations [42, Figure 3].…”
Section: A Transport Barriermentioning
confidence: 58%
“…where erf(·) is the error function, a and b are natural numbers, and the parameters H and s control the height and the steepness of the barrier respectively. The parameter ψ 0 gives the location of the transport barrier with respect to a common normalization where ψ ∈ [0, 1] [43,17]. In Figure 10 we present the behavior of the pressure as a function of ψ for different parameter values, and thus verify that we are able to model experimentally relevant situations [42, Figure 3].…”
Section: A Transport Barriermentioning
confidence: 58%
“…In section 2.3, we find the dependence of the Shafranov shift on the boundary tilt angle and show that the shift is insensitive to the shape of both the current and pressure profiles (when the geometry, total plasma current, and average pressure gradient are kept fixed). These analytic results are verified using equilibrium calculations performed with the numerical Grad-Shafranov solver ECOM [23]. Section 3 contains the results from nonlinear gyrokinetic simulations of the equilibria calculated in section 2.…”
mentioning
confidence: 74%
“…The adaptive refinement capability of our new solver plays a crucial role in guaranteeing an efficient use of the degrees of freedom in the system, and in obtaining high accuracy for the gradient of the potential. Finally, for the particular situations in which a smooth global extension is readily available without resorting to numerical computation, as is for example the case of an extension by zero in plasma physics applications [6], we have presented a numerical method which leads to the same order of convergence for the gradient of the potential as the potential itself. In our implementation of the FMM, this translates to 4th order convergence for both the potential and the gradient, and the order of convergence can be increased by choosing higher order basis functions [11].…”
Section: Resultsmentioning
confidence: 99%