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A geometric approach to constructing quasi-isodynamic fields

Published online by Cambridge University Press:  26 February 2026

Gabriel Plunk*
Affiliation:
Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
Eduardo Rodríguez
Affiliation:
Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
*
Corresponding author: Gabriel Plunk, gplunk@ipp.mpg.de

Abstract

The near-axis theory for quasi-isodynamic stellarator equilibria is reformulated in terms of geometric inputs to allow greater control of the ‘direct construction’ of quasi-isodynamic configurations and to facilitate understanding of the space of such equilibria. This includes a method to construct suitable magnetic axis curves by solving Frenet–Serret equations and an approach to controlling magnetic surface shaping at first order (plasma elongation), which previously has required careful parameter selection or additional optimisation steps. The approach is suitable for studying different classes of quasi-isodynamic stellarators including different axis ‘helicities’ and topologies (e.g. knotted solutions), and as the basis for future systematic surveys using higher order near-axis theory. As an example application, we explore a family of configurations with per-field-period axis helicity equal to one half, demonstrating an approximate scaling symmetry relating different field period numbers.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - SA
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Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Figure 1. Diagram illustrating elements of curve closure. Example of an $N=3$ half-helicity curve with the main geometric elements considered for the closure of the axis, including the convention. In black, one field period of the axis from $\ell =0$ to $\ell =2\pi /3$, continued in grey. The $x,\,y,\,z$ frame is given as a reference.

Figure 1

Table 1. A view of configurations with varying field period number $N$ and axis helicity $m$. Noteworthy cases that have been studied previously include $(N, m) = (1, 1)$ (Plunk et al. 2019), $(N, m) = (2, 1/2)$ (Plunk et al. 2025) and the ever popular choice $(N, m) = (4, 1/2)$ used in present day integrated QI optimisation, e.g. Goodman et al. (2024).

Figure 2

Figure 2. Trefoil, quatrefoil and cinquefoil knotted QI stellarators.

Figure 3

Figure 3. Curvature $\kappa _{\mathrm{rms}} = \sqrt {3}\kappa _1/8$ and mean torsion $\tau _0$ for a family of axis curves parametrised by $\tau _1$. The effective major radius $R = L/(2\pi )$ is used to normalise both curvature and torsion, where $L$ is the total axis length.

Figure 4

Table 2. Three views of three axis shapes, demonstrating range of behaviour within the curve family: high writhe, low mean torsion (left), low excursion in $z$ (centre), and low writhe, high mean torsion (right). $N=2$ is chosen for simplicity and projections are explained by figure 4.

Figure 5

Figure 4. Projections of axis shape for $N = 2$, defining ‘Bow-tie’ ($y$$z$), ‘Racetrack’ ($x$$y$) and ‘Figure-8’ ($x$$z$) views.

Figure 6

Figure 5. Three extremes of axis shape for the $N = 3$ case, low mean torsion (left, $\tau _1 = 0.89$); low excursion (middle, $\tau _1 = -2.5$); and high mean torsion (right, $\tau _1 = 5.72$).

Figure 7

Figure 6. Measures of axis non-planarity: (a) axis inlcination angle $\gamma$ and (b) root-mean-square deviation from the $x$$y$ plane $z_{\mathrm{rms}}$. The dashed grey horizontal lines (panel a) indicate values of $\gamma$ ($-0.0229$, $-0.270$, $-0.412$) for reference designs W7-AS, W7-X and SQuID-X (Goodman et al. 2024), supporting the idea that larger $|\gamma |$ is compatible with integrated optimisation of QI stellarators.

Figure 8

Figure 7. (a) Scaling symmetry of equivalently shaped QI configurations; see (5.8). (b) Another view of axis parameters, showing some correlation between quality $\delta \!B$ and the size of axis torsion $\tau _{\mathrm{rms}}$.

Figure 9

Table 3. Three views of three axis shapes for $N = 1$: high writhe, low mean torsion (left), low excursion in $z$ (centre), and low writhe, high mean torsion (right). Projections are explained by figure 4.

Figure 10

Figure 8. Curvature $\kappa _{\mathrm{rms}} = \sqrt {3 \kappa _1^2 + 2 \kappa _1 \kappa _2 + 2 \kappa _2^2}/8$ for a family of axis curves with $N=1$ parametrised by $\tau _0$. The effective major radius $R = L/(2\pi )$ is used to normalise both curvature and torsion, where $L$ is the total axis length.

Figure 11

Figure 9. The Möbius stellarator: a single field period QI stellarator with axis helicity $m = 1/2$. Its shaping parameters are $\rho _0 =4$, $\rho _1=0$, $\tau _0 = 0.3$ and $\epsilon = .07$ ($R/a \sim 10$).

Figure 12

Figure 10. Geometric explanation of diverging torsion. The diagram represents the geometric mechanism behind the diverging torsion when the flatttening point is only approximately achieved. A discrete flip (left) of the frame in the ideal flattening point scenario becomes a continuous deformation (right) in a narrow region about the flattening point, and thus a large local value of torsion.

Figure 13

Figure 11. Approximation to torsion of a curve. In this figure, we illustrate the attempts to reconstructing the torsion of a curve of the $(2,3)$ class using the Fourier cylindrical representation. (a) Comparison of torsion of a few reconstruction attempts against the original value (grey). The reconstructions involve: (i) ‘Fourier’ – simply Fourier decompose $R$ and $Z$ obtained from solving the Frenet–Serret equations; (ii) ‘High constraint’ – the Fourier description of the curve enforcing the constraint on higher harmonics, and optimising the remaining degrees of freedom; (iii) ‘Low constraint’ – same as part (ii), but using the lower harmonics to satisfy the constraints. (b) Difference between the reconstructed and original torsion. The scatter represents the variability using different resolutions in the Fourier series as well as grid points. The black dot corresponds to the largest grid and Fourier resolution.

Figure 14

Figure 12. Elliptical shapes and angles. Diagram showing an ellipse framed in the normal Frenet–Serret frame where the ellipse rotation angle $\vartheta$ and elongation angle $e$ are defined. These two angles uniquely characterise ellipses (up to a scale).