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The maximum-J property in quasi-isodynamic stellarators

Published online by Cambridge University Press:  16 April 2024

E. Rodríguez*
Affiliation:
Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
P. Helander
Affiliation:
Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
A.G. Goodman
Affiliation:
Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
*
Email address for correspondence: eduardo.rodriguez@ipp.mpg.de

Abstract

Some stellarators tend to benefit from favourable average magnetic curvature for trapped particles when the plasma pressure is sufficiently high. This so-called maximum-$J$ property has several positive implications, such as good fast-particle confinement, magnetohydrodynamic stability and suppression of certain trapped-particle instabilities. This property cannot be attained in quasisymmetric stellarators, in which deeply trapped particles experience average bad curvature and therefore precess in the diamagnetic direction close to the magnetic axis. However, quasi-isodynamic stellarators offer greater flexibility and allow the average curvature to be favourable and the precession to be reversed. We find that it is possible to design such stellarators so that the maximum-$J$ condition is satisfied for the great majority of all particles, even when the plasma pressure vanishes. The qualitative properties of such a stellarator field can be derived analytically by examining the most deeply and the most shallowly trapped particles, although some small fraction of the latter will inevitably not behave as desired. However, through numerical optimisation, we construct a vacuum field in which 99.6 % of all trapped particles satisfy the maximum-$J$ condition.

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Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press
Figure 0

Figure 1. Example of precession in highly QI fields. Normalised precession frequency $\hat {\omega }_{\alpha}$, (2.2), as a function of the trapping parameter $k^2$, (2.3), for three recently optimised QI configurations with different number of field periods $N$ (Goodman et al.2023), in which omnigeneity is attained to a high degree. For each configuration, $\hat {\omega }_{\alpha}$ is displayed at two values of the normalised radial flux coordinate $\varrho$ on a number of different field lines (grey curves), with the black curve representing $\alpha =0$. A positive value of $\hat {\omega }_{\alpha}$ corresponds to the maximum-$J$-property. Note that deeply trapped particles ($k^2 \rightarrow 0$) tend to behave worse than barely trapped ones, and the intermediate population can exhibit non-monotonic dependence on $k^2$.

Figure 1

Figure 2. Precession in zero-$\beta$ tokamaks and QS stellarators. Panel (a) shows the predicted dependence of the leading-order precession frequency in a tokamak or QS stellarator as a function of the trapping parameter, $k$, (2.11). Panels (b,c) show the precession frequency on the boundary of actual QS vacuum configurations (Landreman & Paul 2022), normalised as in (2.2) (see Rodríguez & Mackenbach (2023) for more details and discussion). As in figure 1, the plots on the right show the variation with field line label $\alpha$, which is difficult to discern due to the high degree of quasisymmetry in these configurations.

Figure 2

Figure 3. Curvature about the minimum in a QS and QI field. The plots show a comparison of the curvature ($\boldsymbol {B}\times \kappa \boldsymbol {\cdot }\boldsymbol {\nabla }\alpha$) in (a) a quasiaxisymmetric (the precise QA in Landreman & Paul 2022) and (b) a quasi-isodynamic (the $N=2$ configuration in Goodman et al.2023) configurations. Panels (a i,b i) show a three-dimensional rendition of the boundary of the configurations, in which the colours display the quantity $\boldsymbol {B}\times \kappa \boldsymbol {\cdot }\boldsymbol {\nabla }\alpha$, with blue/red representing negative/positive values (good/bad curvatures) respectively. Panels (a ii,iii,b ii,iii) show the magnetic field $|\boldsymbol {B}|$ and the curvature along the field line, using the cylindrical coordinate $\phi$ and the PEST poloidal angle $\vartheta$ as coordinates along the field line. The scatter plot indicates the position of the minimum. These two examples illustrate the qualitative difference in the curvature parity between a QI and a QS field.

Figure 3

Figure 4. Schematic depiction of trapping wells that favour maximum-$J$ behaviour. Certain magnetic field features make them more prone to maximum-$J$ behaviour than others. In particular, wide and flat magnetic trapping wells (a) at straighter sections (b) of the stellarator favour maximum-$J$. The diagram on the right is a schematic top-down view on an $N=2$ stellarator, with the shading denoting $|\boldsymbol {B}|$.

Figure 4

Figure 5. Prototypical shape of flux surfaces of an omnigeneous, maximum-$J$ field near the point of minimum field strength. Three-dimensional illustration of features generally expected from maximum-$J$, QI magnetic fields. Note that field lines twist and that the elongation grows with increasing distance from the field-strength minimum.

Figure 5

Figure 6. Precession of trapped electrons for two near-axis QI examples. Three-dimensional rendition of flux surfaces at $r=0.1$ (with the colour map representing the magnetic-field strength) and normalised precession frequency $\hat {\omega }_{\alpha}$ at two different radii for near-axis fields with $N=2$ and $N=3$ of Camacho Mata et al. (2022). The precession is computed using the analytical expressions derived in this paper. The near-axis fields have been constructed to second order, taking a ‘minimal-shaping’ construction $X_{2c}=0=X_{2s}$. The grey curves denote the variation of precession between different field lines (with the black curve corresponding to the average over $\alpha$), reflecting the non-omnigeneous nature of the fields. Two different origins of the variability are apparent: a roughly $r$ independent variation from the second-order contribution, and a variation proportional to $1/r$ due to breaking omnigeneity at first order.

Figure 6

Table 1. Critical $\beta$ and geometric contributions. Geometric parameters and critical $\beta$ for the $N=2$ and $N=3$ near-axis QI examples in Camacho Mata et al. (2022). Here, $\beta ^\star$ is a measure of the required plasma beta to prevent deeply trapped particles from precessing in the diamagnetic direction in an idealised omnigeneous field ($\beta _{\mathrm {tot}}^\star$ if the non-omnigeneous nature of the field is considered).

Figure 7

Figure 7. Reversal of trapped-particle precession with increasing $\beta$. Normalised precession frequency $\hat {\omega }_{\alpha}$ for three different values of plasma $\beta$ for the ‘minimally shaped’ near-axis field $N=2$ from Camacho Mata et al. (2022) at $r=0.01$. The black lines correspond to the $\alpha ={\rm \pi} /4$ field line, and grey curves reflect the variation in precession frequency due to non-omnigeneity. The analytical estimate for the normalised pressure at which deeply trapped particles reverse their precession is $\beta ^\star = 5.5\,\%$ and corresponds to the middle set of curves. The legend on the right shows how the plasma cross-section at the radii $r=0.05, 0.1$ and toroidal angle $\phi =0$ change with $\beta$.

Figure 8

Figure 8. Proof of principle of a maximum-$J$-optimised near-axis field. The panels show a near-axis field optimised so as to exhibit quasi-isodynamicity and maximum-$J$ behaviour, especially near the minimum of the magnetic field on each flux surface. The shaping of the configuration is very large, and thus the resulting field impracticable, but shows that the optimisation criteria can be met. (a) A three-dimensional rendition of the field for $r=0.02$, using only the first-order description. (Second-order contributions are large and obscure the visualisation.) (b) First-order cross-sections near the minimum of $|\boldsymbol {B}|$ (in $(R,Z)$ coordinates and between $\phi =3{\rm \pi} /4,5{\rm \pi} /4$). The dotted curve represents the position of the magnetic axis. (c) Precession $\hat {\omega }_{\alpha}$ computed numerically using $|\boldsymbol {B}|$ from the near-axis expansion at two different radii on a number of field lines (grey curves, with the black representing the average). The increase in variability at low $r$ is due to the buffer region in which omnigeneity is broken. For this example, this contribution was not minimised. Close to the magnetic axis, the field satisfies the maximum-$J$ criterion for almost every orbit, except those trapped in secondary minima (Rodríguez & Plunk 2023).

Figure 9

Figure 9. Example of a maximum-$J$-optimised global equilibrium. The plots show a magnetic field optimised by minimising (3.5) so as to attain quasi-isodynamicity and maximum-$J$ behaviour in a vacuum magnetic field. The configuration has an aspect ratio of $A_{\mathrm {VMEC}}\sim 7$, three field periods and exhibits strong shaping, which was not constrained in this proof-of-principle example. (a) Three-dimensional rendition of the outermost surface of the field, where the colour map represents $|\boldsymbol {B}|$. (b) Detail of cross-sections near the core (at $\varrho =0.1$, and for reference to indicate the large shaping of surfaces $\varrho =0.5$ as broken contours) and about the minimum of $|\boldsymbol {B}|$ (in $(R,Z)$ coordinates and between $\phi =3{\rm \pi} /4, 5{\rm \pi} /4$), showing features of twist and shape studied analytically. The dotted curve represents the position of the magnetic axis. (c) Precession frequency at two radii on a number of field lines (grey curves, with the black $\alpha ={\rm \pi} /2$). The increase in variability at low $r$ is a consequence of the breaking of omnigeneity. The overwhelming majority of all trapped particles satisfy the maximum-$J$ criterion, $\hat \omega _{\alpha} > 0$.

Figure 10

Figure 10. Contours of the second adiabatic invariant $\mathcal {J}_\parallel$ in polar coordinates $(s,\alpha )$. Contours showing the second adiabatic invariant as a function of the polar coordinates $(s,\alpha )$ for three different trapped-particle classes. The values of $\lambda$ used are $\lambda =[(B_{\mathrm {max}}-B_{\mathrm {min}})\lambda _n+B_{{\rm min}}]^{-1}$ where $B_{\mathrm {max}}$ and $B_{\mathrm {min}}$ denote the maximum and minimum field strengths on the flux surface in question. An ideal omnigeneous field would have concentric circular contours. The wiggle in the contours is indicative of QI breaking, which is particularly prominent close to the trapped–passing boundary (small $\lambda$). An ideally maximum-$J$ field would show a monotonic decrease of $\mathcal {J}_\parallel$ along any ray emanating from the origin.

Figure 11

Figure 11. Example of an optimised ‘symmetric’ magnetic mirror. The figure shows a three-dimensional rendition of a near-axis magnetic mirror optimised for omnigeneity and the maximum-$J$ property. Panels (b,c) illustrate the elongation of flux surfaces, $\mathcal {E}$, and the normalised precession frequency (with $\hat {\omega }_{\alpha} >0$ indicating maximum-$J$ behaviour) as a function of $z$, where the black line represents the average over the field-line label $\alpha$. The mirror was constructed assuming symmetry of $X_{1c}$ and $X_{1s}$, and employs a simple quadratic magnetic field.