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The effect of plasmoid drifts on the pellet rocket effect in magnetic confinement fusion plasmas

Published online by Cambridge University Press:  26 January 2026

Nico J. Guth
Affiliation:
Department of Physics, Chalmers University of Technology, Göteborg SE-41296, Sweden Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
Oskar Vallhagen
Affiliation:
Department of Physics, Chalmers University of Technology, Göteborg SE-41296, Sweden
Per Helander
Affiliation:
Max Planck Institute for Plasma Physics, 17491 Greifswald, Germany
Amir Tresnjic
Affiliation:
Department of Physics, Chalmers University of Technology, Göteborg SE-41296, Sweden
Sarah Newton
Affiliation:
United Kingdom Atomic Energy Authority, Culham Campus, Abingdon, Oxon OX14 3DB, UK
Tünde Fülöp
Affiliation:
Department of Physics, Chalmers University of Technology, Göteborg SE-41296, Sweden
Istvan Pusztai*
Affiliation:
Department of Physics, Chalmers University of Technology, Göteborg SE-41296, Sweden
*
Corresponding author: Istvan Pusztai, pusztai@chalmers.se

Abstract

We detail here a semi-analytical model for the pellet rocket effect, which describes the acceleration of pellets in a fusion plasma due to asymmetries in the heat flux reaching the pellet surface and the corresponding ablation rate. This effect was shown in experiments to significantly modify the pellet trajectory, and previously projected deceleration values of ${\sim} 10^6\,\textrm {m}\,\textrm{s}^{-2}$ for reactor-scale devices indicated that it may severely limit the effectiveness of pellet injection methods. We account for asymmetries stemming both from plasma parameter gradients and an asymmetric plasmoid shielding caused by the drift of the ionised pellet cloud. For high temperature, reactor relevant scenarios, we find a wide range of initial pellet sizes and speeds – particularly those relevant for large fragments of shattered pellet injection for disruption mitigation – where the rocket effect has a major impact on the penetration depth. In these cases, the plasma parameter profile variations dominate the rocket effect. We find that for small and fast pellets, where the rocket effect is less pronounced, plasmoid shielding-induced asymmetries dominate.

Keywords

Information

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 (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Figure 1. Illustration of how the pellet rocket force arises from both an asymmetry in pressure at the pellet surface (red shading) and an asymmetric ablation (arrows). Additionally, the coordinate system used throughout this paper is indicated. The unit vector $\hat {\boldsymbol{z}}$ denotes the axis of asymmetry. Here, $\hat {\boldsymbol{r}}$ and $\hat {\boldsymbol{\theta }}$ denote the spherical coordinates, in which $\hat {\boldsymbol{\varphi }}$ would point into the paper. The pellet is modelled as a solid sphere of radius $r_{\text{p}}$.

Figure 1

Figure 2. Illustration of the plasmoid shielding asymmetry of the ablation cloud in figure 1. The drift towards the LFS (negative $z$ direction) induces a shorter shielding length at the high-field side. Note that the proportions in the figure are not realistic: the pellet is much smaller than the neutral cloud that, in turn, is much smaller than the plasmoid shielding length.

Figure 2

Figure 3. Scaling functions for the heat flux and energy boundary conditions due to plasmoid shielding, inversely dependent on the shielding length $s$.

Figure 3

Figure 4. Radial dependence of two numerical example solutions to the normalised perturbative ablation dynamics. These solutions correspond to the symmetric NGS model solution shown by Parks & Turnbull (1978) with the parameters $\gamma = 7/5$ and $E_\star (E_{\text{bc0}}) = {30}\,\textrm {keV}$. The heat source asymmetry is characterised here by $E_{\text{rel}}/q_{\text{rel}} = -0.5$ in (a) and $E_{\text{rel}}/q_{\text{rel}} = -1.5$ in (b). The simulations use $Q=0.65$.

Figure 4

Figure 5. Full spatial dependence of the numerical example solution in figure 4(a) for the ablation dynamics. The left sides show the symmetric NGS model solution. The right sides show the perturbative solutions, varying as $\cos \theta$. For illustrative purposes, $v_{1,\theta }$ is scaled up by a factor of 4. The dashed circle marks the sonic radius.

Figure 5

Table 1. Coefficients for the scaling laws representing the linear fits of the numerical solutions for the perturbative pressure asymmetry, $p_1(r_{\text{p}})$.

Figure 6

Figure 6. Relative penetration depth as a function of the initial pellet radius $r_0$ and speed $v_0$ in a MST scenario. Solid lines: with rocket effect, including plasmoid shielding. Dashed lines: with rocket effect, neglecting the plasmoid shielding. Dotted lines: no rocket effect. Dash-dotted lines: representative parameter ranges for fuelling and Edge Localised Mode (ELM) pacing pellets (red) and SPI fragments (blue).

Figure 7

Figure 7. Relative penetration depth as a function of the initial pellet radius $r_0$ and speed $v_0$ in two ITER scenarios: (a) L-mode hydrogen plasma and (b) H-mode DT plasma. Solid lines: with rocket effect including plasmoid shielding. Dashed lines: with rocket effect neglecting the plasmoid shielding. Dotted lines: no rocket effect. Dash-dotted lines: representative parameter ranges for fuelling and ELM-pacing pellets (red) and SPI fragments (blue).

Figure 8

Figure 8. Computed pellet trajectories: (a) including the effects of background plasma gradients and plasmoid shielding, for three different values of $f_{\textrm{ri}}$: $0.5$ (dotted curve), $1$ (dashed) and $2$ (dash-dotted); (b) including both gradients and shielding effects (dotted), only shielding (dashed), only gradients (dash-dotted) and without rocket effect (dash-double-dotted). The equilibrium and plasma profiles are based on Szepesi et al. (2009), figure 3(c). In both panels, the approximate experimental pellet trajectory is indicated by the black curve.