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Runaway electron-induced plasma facing component damage in tokamaks

T0 review · 3 major / 4 minor · reviewed 2026-08-07 · deepseek-v4-flash

Pith's one-line read This paper argues that runaway-electron impacts are among the most dangerous and least understood threats to tokamak walls, and that predicting them requires one integrated chain from beam formation to material response.

desk verdict A valuable synthetic roadmap on runaway-electron wall damage; the ITER damage numbers are honest upper-bound estimates, not robust predictions. read the letter →

arxiv 2506.10411 v1 pith:Y7HYKJQD submitted 2025-06-12 physics.plasm-ph physics.app-ph

classification physics.plasm-phphysics.app-ph
keywords runawayelectronstokamakdisruptionsplasma-facingcomponentsITERthermomechanicaldamageelectromagneticshowersimulationbenignterminationcontrolledwallexperiments
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

The paper is a community roadmap arguing that runaway-electron (RE) impacts are among the most dangerous and least understood threats to the plasma-facing components (PFCs) of next-generation tokamaks, and that safe operation of ITER and DEMO requires treating RE beam physics, transport to the wall, and thermomechanical material response as a single coupled chain rather than separate disciplines. It collects evidence from several tokamaks showing that RE impacts can melt, splatter, and explosively fragment both metallic and brittle components, and it argues that the field is now mature enough to build and validate an integrated predictive workflow, especially as controlled RE-damage experiments begin. If this premise is right, the payoff is the ability to design resilient walls, sacrificial limiters, and mitigation strategies, including the "benign termination" of RE beams by deuterium injection, that keep future reactors operational. The paper's severity estimate for ITER, however, rests on a narrow scrape-off impact assumption that the authors themselves flag as uncertain.

What carries the argument

The load-bearing machinery is an integrated modeling chain that couples beam-formation and transport codes, magnetic field-line tracing to map impact locations, Monte Carlo simulation of the relativistic electron shower inside the material, and finite-element thermomechanical response calculations. The central quantitative object is the volumetric energy deposition profile of multi-MeV electrons in tungsten and graphite: unlike the surface heating of ordinary plasma contact, RE energy is deposited over millimeter-to-centimeter depths with a maximum below the surface, which is what triggers internal stress buildup, brittle fragmentation, deep melting, and coolant-interface heating. A second key distinction is between scrape-off and stochastic impact classes, since the wetted area and incidence angle are what convert a given RE beam energy into a wall heat load.

What would settle it

A controlled RE strike on an instrumented tungsten tile, such as the planned experiments at WEST and ASDEX Upgrade, that measures the wetted area, deposited energy, and resulting melt depth would settle the central uncertainty. A much broader wetted area than the 4 mm scrape-off assumption, with melt depths well below 0.5 mm, would overturn the severe ITER baseline; a narrow footprint with melt depths in the 0.5–1.5 mm range would confirm it.

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Extended reading notes

Core claim

The paper's central claim is that RE-induced PFC damage cannot be predicted by studying RE generation or wall materials in isolation. The complete story runs from the beam's current density, energy, and pitch-angle distribution; through its orbit transport in possibly stochastic three-dimensional magnetic fields; into the volumetric electromagnetic shower the relativistic electrons create inside the wall; and finally to the thermomechanical response of the component, including melting, vaporization, brittle failure, and debris ejection. The paper argues that this chain is becoming predictive and that the key open question is which of two impact classes occurs: a scrape-off impact on intact flux surfaces, which concentrates energy in a narrow footprint, or a stochastic impact, in which MHD-driven magnetic stochasticity spreads the load and can make the termination benign. For ITER, the narrow scrape-off assumption yields 150–200 kJ per tungsten panel and melt depths of 0.5–1.5 mm, while stochastic deposition spreads the same energy over much larger areas and reduces damage sharply. The roadmap therefore calls for controlled, well-instrumented experiments, first on graphite and then on tungsten, to decide which class dominates.

Load-bearing premise

The severity of the ITER damage projection rests on the assumption that an RE beam would hit the wall in a scrape-off impact with a 4 mm beam width and a 5 degree grazing angle; this is an assumption the paper itself flags as uncertain, since magnetic stochasticity could broaden the deposition and sharply reduce the damage.

Editorial extensions

If this is right

  • If the integrated workflow is validated, ITER can size tungsten armor thickness and sacrificial limiters from predicted RE loads rather than from worst-case guesses.
  • Benign termination via deuterium injection could become a dependable mitigation strategy if models can predict the neutral-pressure window and MHD stochasticity required at reactor scale.
  • The first controlled RE-damage experiments on graphite and the planned tungsten campaigns will provide the empirical constraints needed to confirm or correct the thermomechanical models.
  • Photonuclear activation of tungsten can serve as a post-mortem diagnostic that records where, how wide, and at what angle a RE beam struck the wall.
  • Predicting whether an impact is scrape-off-like or stochastic-like is a necessary input for deciding how many RE impacts ITER's first wall can tolerate before panel replacement.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • If stochastic impacts turn out to be the norm, the ITER risk calculus shifts from "a handful of impacts may be intolerable" toward "impacts are survivable when benign termination is triggered," making MHD stochasticity the highest-leverage research target.
  • The same volumetric-deposition-to-thermomechanics logic could screen other intense particle loads, for example high-energy electron beams in material-testing facilities, using the ratio of deposition depth to component size as a quick severity criterion.
  • Activation maps from gamma spectroscopy on existing machines could be mined as low-cost, wide-area impact diagnostics, turning accidental RE strikes into calibration events for integrated models.
  • The benign-termination scenario rests on an extrapolation from present devices to ITER's much larger avalanche gain; a dedicated experiment measuring whether re-avalanching occurs after a partial stochastic termination would test that extrapolation directly.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

3 major / 4 minor

Summary. This Roadmap article surveys the state of the art and open challenges in runaway-electron (RE) induced plasma-facing component (PFC) damage in tokamaks. It collects evidence from JET, DIII-D, TCV, COMPASS, TEXTOR, Tore Supra/WEST, EAST, FTU, and Alcator C-Mod; reviews RE diagnostics; describes reduced and high-fidelity models for RE beam formation, transport, and wall impact; discusses Monte Carlo and finite-element modeling of thermomechanical PFC response; outlines neutron production and activation; and closes with ITER and DEMO perspectives. The central argument is that RE impacts pose a severe and still poorly understood threat to ITER and DEMO, and that safe operation requires a holistic, validated modeling chain from RE beam formation through volumetric wall deposition to thermomechanical PFC response.

Significance. If its central claim is accepted, the paper identifies a timely and important gap: existing RE generation and transport models and PFC thermomechanical models have matured separately, but their integration for reactor-relevant damage predictions is immature. The roadmap is valuable as a community-wide status assessment, especially because it includes explicit references to recent controlled experiments (DIII-D graphite, planned AUG/WEST tungsten), a clear hierarchy of modeling tools, and candid statements of missing validation. Its quantitative ITER damage estimates, however, are not yet robust enough to carry the full weight of the urgency argument; the paper would be strengthened by a systematic sensitivity analysis of the impact parameters and by an explicit statement of the uncertainty in the tungsten response model.

major comments (3)
  1. [Sec. 10; Fig. 29] The ITER damage estimates are computed with a fixed worst-case impact geometry: beam width Δ_RE = 4 mm, 5° grazing incidence, and exponential energy spectrum with E0 = 15 MeV. The manuscript itself states in the Introduction (Classification of possible impact scenarios) that "it is presently not fully clear what type of impacts take place in existing devices or are to be expected in future ones." The only broad-deposition case presented is a single JOREK termination scenario (26 MeV, v∥/v = 0.99, 24 MJ over 1 ms), which yields 1.1 mm melt and 28 µm vaporization; this is not a sensitivity scan over beam width, incidence angle, energy spectrum, or termination timescale. Since melt depth and CuCrZr interface heating depend strongly on deposited energy density, the severity and urgency claims are not robust to the unresolved scrape-off versus stochastic impact question. Please add a parametric study over these parameters or explicitly frame the Sec. 10 numbers as one end of a wide uncertainty range rather than as the expected outcome.
  2. [Secs. 8 and 10] The tungsten thermomechanical model used for the ITER melt-depth and interface-temperature predictions is not validated in the regime of interest. Section 8 states that "Modeling of RE-driven damage in W, which is ductile at elevated temperatures with a stable liquid phase, remains to be addressed," and notes that progress has been impeded by the absence of controlled RE-impact experiments on tungsten. The MEMENTO-based results in Sec. 10 therefore rely on material response calculations that have not been benchmarked against dedicated RE-driven W damage data. The roadmap should either present these as preliminary worst-case estimates accompanied by a clear validation roadmap, or explicitly condition the armour-thickness recommendations on the outcomes of the planned AUG/WEST 2025 experiments.
  3. [Secs. 6 and 10] The 24 MJ kinetic-energy assumption used in the Sec. 10 damage estimates appears to be at the low end of the energy range that the paper itself predicts for ITER terminations. Section 6 reports reduced-model results in which up to 100–150 MJ of poloidal magnetic energy is converted into RE kinetic energy and deposited on the wall during scraping-off and final collapse, depending on the RE loss time and termination speed. The text notes that ITER RE beams "may in fact deposit substantially more energy than assumed," but this possibility is not propagated into the damage numbers. Please state whether the 150–200 kJ/FWP and 0.5–1.5 mm melt-depth figures are lower bounds, upper bounds, or central estimates, and quantify how a factor-of-several increase in deposited energy would change the conclusions.
minor comments (4)
  1. [Introduction] The word "wholistic" appears in the Introduction and should be "holistic."
  2. [Sec. 9] Typographical errors: "FFig. 25" should be "Fig. 25," and "An dedicated experimen" should be "A dedicated experiment."
  3. [Sec. 10] The discussion of the broad JOREK deposition case would benefit from a direct reference to Fig. 22, since the reader is asked to compare the two deposition patterns without a cross-reference.
  4. [Sec. 6, Eq. (10)] The expression sin Θ_PFC = −cos θ_GC sin η sin χ + sin θ_GC cos η is a useful definition, but the text does not explain how the gyroaverage of this quantity enters the wetted-area formula A_w = πr_L^2/sin θ_GC; a short derivation or citation would help the reader.

Circularity Check

0 steps flagged · score 0.0 of 10

Roadmap contains no circular derivation; ITER damage estimates are conditional scenario calculations with explicitly stated inputs, and the modeling self-citations point to independently published, validated workflows.

full rationale

This is a roadmap/review article, not a derivation of a new quantitative result, so there is no claimed prediction that reduces by construction to its inputs. The ITER damage numbers in Section 10 are explicitly conditional: the beam energy distribution, 4 mm beam width, and 5° grazing angle are stated as assumptions, and the paper itself acknowledges the unresolved scrape-off vs stochastic impact-type uncertainty and shows a broader JOREK-based deposition case. No fitted parameter is renamed as a prediction; the damage estimates follow from Monte Carlo and heat-conduction models with stated inputs. The many self-citations (JOREK, DREAM, KORC, DINA-SMITER-GEANT4-MEMENTO) reference prior published code developments and validation efforts, including against DIII-D graphite experiments and JET post-mortem analysis, so they constitute independent evidence rather than a load-bearing self-citation loop. The paper also explicitly flags gaps, e.g., that modeling of RE-driven W damage remains to be addressed, which further indicates that the severity claim is not being asserted as a derived consequence of a closed self-referential chain. No circular step satisfying the quoted-equation reduction test was found.

Assumptions & free parameters 4 free parameters · 4 assumptions · 0 invented entities

As a roadmap, the paper introduces no new entities or measured constants. Its forward-looking ITER numbers do depend on explicitly chosen modeling inputs, the 4 mm beam width, 5 degree incidence, and 15 MeV exponential spectrum, which are treated here as free parameters because they are assumed rather than measured or fitted. The axioms are the standard physics frameworks the roadmap inherits from the cited literature.

free parameters (4)
  • ITER predicted RE beam width Delta_RE = 4 mm
    Section 10: assumed fixed at the Larmor radius of 15 MeV electrons. This directly controls the deposition energy density of 150-200 kJ per first wall panel.
  • ITER predicted RE incidence angle = 5 degrees grazing
    Section 10: assumed for all electrons based on DINA field geometry. Controls volumetric deposition depth and melt depth.
  • ITER predicted RE energy spectrum scale E0 = 15 MeV exponential
    Section 10: assumed exponential with E0 = 15 MeV over a 1-50 MeV range. This drives the deposition and activation calculations.
  • Avalanche amplification coefficient alpha_av = 1 MA^-1
    Section 10: used to estimate RE seed amplification in ITER as 10^(alpha_av * Ip). Taken from cited literature rather than measured in this paper.
assumptions (4)
  • domain assumption Relativistic Fokker-Planck kinetics with Dreicer, hot-tail, and avalanche sources adequately describes runaway generation in ITER-scale disruptions.
    Sections 5 and 6 assume this framework for all RE predictions. It is standard in the field but remains challenging to validate in reactor conditions.
  • domain assumption Force-free vertical stability models (0D ring models) and 1D resistive current diffusion capture VDE dynamics and scraping-off for ITER.
    Section 6: used to quantify magnetic-to-kinetic energy conversion and scrape-off losses. The paper notes these models have not been systematically validated with halo currents.
  • standard math CSDA stopping powers and Monte Carlo cross-sections in Geant4, FLUKA, or MCNP are adequate for computing volumetric energy deposition in tungsten and graphite.
    Section 8: the entire thermomechanical damage workflow depends on these transport calculations.
  • domain assumption Photonuclear reaction data for tungsten (ENDF, JENDL, TENDL) are sufficiently accurate for activation assessments above 8 MeV.
    Section 9: activation estimates rely on these libraries, and the paper itself calls for validation of photonuclear data for fusion-relevant isotopes.

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Cite this review

Pith. "Pith review of Runaway electron-induced plasma facing component damage in tokamaks." pith.science (2026). https://pith.science/paper/Y7HYKJQD

@misc{pith2026250610411,
  author       = {Pith},
  title        = {Pith review of: Runaway electron-induced plasma facing component damage in tokamaks},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/Y7HYKJQD}},
  note         = {Machine review of arXiv:2506.10411}
}
read the original abstract

This Roadmap article addresses the critical and multifaceted challenge of plasma-facing component (PFC) damage caused by runaway electrons (REs) in tokamaks, a phenomenon that poses a significant threat to the viability and longevity of future fusion reactors such as ITER and DEMO. The dramatically increased RE production expected in future high-current tokamaks makes it difficult to avoid or mitigate REs when a plasma discharge terminates abnormally. Preventing damage from the intense localised heat loads REs can cause requires a holistic approach that considers plasma, REs and PFC damage. Despite decades of progress in understanding the physics of REs and the thermomechanical response of PFCs, their complex interplay remains poorly understood. This document aims to initiate a coordinated, interdisciplinary approach to bridge this gap by reviewing experimental evidence, advancing diagnostic capabilities, and improving modelling tools across different scales, dimensionalities and fidelities. Key topics include RE beam formation and transport, damage mechanisms in brittle and metallic PFCs, and observations in major facilities such as JET, DIII-D, WEST and EAST. The Roadmap emphasises the urgency of predictive, high-fidelity modelling validated against well-diagnosed controlled experiments, particularly in the light of recent changes in ITER's wall material strategy and the growing importance of private sector initiatives. Each section of the article is written to provide a concise overview of one area of this multidisciplinary subject, with an assessment of the status, a look at current and future challenges, and a brief summary. The ultimate goal of this initiative is to guide future mitigation strategies and design resilient components that can withstand the loads imposed by REs, thus ensuring the safe and sustainable operation of the next generation of fusion power plants.

Figures

Figures reproduced from arXiv: 2506.10411 by the authors.

Figure 1
Figure 1. Top [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. RE-induced damage of a stainless steel antenna from 1983 ASDEX experiments on Lower Hybrid Heating [53, 54] due to ≥5 MeV electrons that also caused nuclear material activation. Courtesy of Dr. F. Leuterer. Classification of possible impact scenarios RE beam impacts are typically associated to their motion towards PFCs, which can be either intentional or due to a loss of position control. There then seems to exist t… view at source ↗
Figure 3
Figure 3. Heat load distribution during the disruption of JET pulse no. 68782. Over-exposed overview frame for visualization (a) and temperature rise at the upper dump plate due to runaway impact (b). Reproduced with permission from Ref. [72]. Similar type of dump plate damage induced by REs was also discussed in Ref. [73]. In this work it was noted that for 17 JET pulses studied, the red localized spots, similar to those sho… view at source ↗
Figures from the paper (27 more)
Figure 5
Figure 5. Figure 5: Map of RE-induced tile damage on the IWGL (a) and images of the two most affected tiles, (b) and (c). Reproduced with permission from Ref. [76]. disruptions events affecting the UDPs [20, 81]. Given the limited camera resolution and that these observed droplets are clo…
Figure 6
Figure 6. Figure 6: The 3D profiling reconstructed damage of Be tile (shown in [PITH_FULL_IMAGE:figures/full_fig_p011_6.png]
Figure 7
Figure 7. Figure 7: RE damage to sacrificial graphite limiter in DIII-D showing: IR image of resulting dust cloud (a), visible image of undamaged graphite limiter (b) , and confocal microscope image of damaged limiter (c) . Reprint with permission from Refs. [4, 42] [PITH_FULL_IMAGE:figu…
Figure 8
Figure 8. Figure 8: Cherenkov probe on TCV before (left) and after (right) RE impact during a VDE of a 250 kA current plasma with significant RE population. Melting observed on the molybdenum-based alloy spacer plates. experimental focus on RE studies. Following massive material injection…
Figure 9
Figure 9. Figure 9: Examples of RE-induced damage of components from COMPASS. Damage to the recessed roof-shaped (RR) graphite limiter (a). Reprint with permission from Ref. [97]. Debris release during RE termination at the graphite RR tile in discharge 14494 (b). Craters on a carbon Lang…
Figure 10
Figure 10. Figure 10: Runaway electron impact on Tore Supra carbon limiter. Courtesy of C. Reux. Tore Supra / WEST. Tore Supra was known for extensive RE production and seconds-long RE beams. The carbon-fiber composite wall absorbed most RE impacts, usually leading to dust release, as show…
Figure 11
Figure 11. Figure 11: WEST inner limiter PJ5 damaged by multiple RE impacts, along with a zoom-in of the worse damaged tile B6 and its profilometry showing 1 mm deep material loss. Courtesy of M. Diez. outboard) covered with EK98 graphite were utilized to control the plasma boundary and pr…
Figure 12
Figure 12. Figure 12: C-Mod SXR signal cables damaged by a RE strike copper, Teflon, and fiberglass had been blasted out of the SXR signal cables. Replacement signal cables had to be fabricated and installed in order to return the SXR tomography system back to full performance. Regarding R…
Figure 13
Figure 13. Figure 13: Example of an RE-induced explosion event in FTU. Debris trajectories recorded by VIS camera during shot 37761 (a). Damaged Mo-based tiles from the poloidal limiter showing several mm deep melting and layer de-attachment damage, (b)-(c). SEM images of craters, found on…
Figure 14
Figure 14. Figure 14: RE-induced damage of W tiles of WEST outer limiter (a). Courtesy of M. Diez. The trailing edge of W monoblocks on the WEST divertor hit by REs, observations after the C3 campaign (b). Reprint with permission from Ref. [116]. of the molten tungsten limiter. In EAST, RE…
Figure 15
Figure 15. Figure 15: RE-induced damages in EAST main limiter. a) Hot spot and W splashing viewed by CCD camera; b) surface morphology of melting main limiter and c) cross section morphology of the melting region. RE damages of PFCs. Nevertheless, a dedicated investigation on RE-material i…
Figure 16
Figure 16. Figure 16: The RE diagnostics classification. Principles highlighted in red are covered in this section. IR thermography. Infra-red (IR) imaging is a valuable diagnostic for measuring the spatial structure of heat loads on plasma-facing components (PFCs) [125– 127], and is widel…
Figure 17
Figure 17. Figure 17: HXR time trace showing steady plasma emission initially and then a huge spike at the main RE impact event (a). Integral over the wall impact spike as a function of outer midplane detector toroidal position with approximate fit (b) . comparison of steady state and term…
Figure 19
Figure 19. Figure 19: RE impact on graphite limiter as a pitch angle θp diagnostics: graphite limiter damage from RE impact (a) and modelling the graphite material failure, (b) and (c) . The model assumed REs with a single initial kinetic energy and pitch, the best matching parameters are …
Figure 20
Figure 20. Figure 20: illustrates the results of IR analysis of RE impact on the DIII-D divertor shelf where these challenges have been taken into account [134] [PITH_FULL_IMAGE:figures/full_fig_p023_20.png]
Figure 21
Figure 21. Figure 21: M3D-C1 simulation of a termination in the DIII-D tokamak. The time evolution of the RE density distribution is shown in color along with a Poincar´e plot visualizing the dynamically changing magnetic field topology. Reprint with permission from Ref. [203]. to perform …
Figure 22
Figure 22. Figure 22: shows both the loss of REs during a termination event in ITER and the resulting loads to 3D walls from such a calculation. The methodically comparable work on EU-DEMO [309] also assesses the efficiency of sacrificial limiters in protecting the wall from excessive RE l…
Figure 23
Figure 23. Figure 23: Geant4 results (with various scattering implemen￾tations) for the plane averaged energy density profiles of 20 MeV electrons impacting W at normal (90◦) to shallow (3◦) angles [PITH_FULL_IMAGE:figures/full_fig_p036_23.png]
Figure 24
Figure 24. Figure 24: Comparison of Geant4 deposition profiles, for 20 MeV electrons impacting W at normal (90◦) and shallow (10◦) angles, with a least-square and a CSDA-based exponential decay. was pointed out already in the 1990s [333, 336, 340]. The B-field presence outside the PFC impl…
Figure 25
Figure 25. Figure 25: Infrared view of a RE beam impact in WEST for pulse #58005 (a). Post mortem measurement of decay gammas in the monoblocks of the Plasma Facing Unit #469 on the lower divertor of WEST possibly due to multiple impacts (b) [PITH_FULL_IMAGE:figures/full_fig_p040_25.png]
Figure 26
Figure 26. Figure 26: shows key parameters recorded during pulse #58005, where a RE event occurred. The plasma current features a plateau after the start of the disruption, indicating a RE beam duration of about 10 ms. Then the RE beam crashes onto the divertor, causing the current to drop…
Figure 27
Figure 27. Figure 27: Spectroscopy of the WEST PFCs The activation in W is a 2-step process. The RE impact can produce high energy bremsstrahlung photons due to slowing down of the REs. Then, high energy photons can have photonuclear reactions with the nuclei of the material: (X,n) reactio…
Figure 28
Figure 28. Figure 28: Activation rate map in W for 12 MeV electrons impinging tangentially (a) or normally (b) for a 5 mm voxel size. Activation rate map in W for 30 MeV electrons for a 0.05 mm voxel size in Z axis and 5 mm in other axes (c) . Reaction rate profile corresponding to the for…
Figure 29
Figure 29. Figure 29: Composite describing the key input parameters for the new RE impact simulations performed with the DINA-SMITER￾GEANT4-MEMENTO code workflow: (a) DINA simulation (IMAS disruption database shot 100097, run 1) including RE conversion during an upward going CQ at 15 MA, 5…
Figure 30
Figure 30. Figure 30: Representative RE current (linear) vs. assimilated material (logarithmic). The cases marked with ”H” (hydrogen) correspond to scenarios without activated RE sources (Compton and tritium), while the DT scenarios contain all source (except the orange diamonds). Note tha…
Figure 31
Figure 31. Figure 31: Almost 75% of the plasma current is converted into RE current during the disruption, with RE seeds of tens of kA leading to ∼10.6 MA of RE current when 90% RE seed loss is considered. However, even with 99.9% loss of the RE seed, the RE current is estimated to be ∼8 M…
Figure 32
Figure 32. Figure 32: Monte Carlo simulations of RE deposited energy density (normalized to 1 kJ total energy) within a cross-sectional cut of a realistic SPARC plasma facing component [460]. The incoming REs (10 MeV, zero pitch angle) are indicated by black arrows. Magnetic field inclinat…

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