Predicting and mitigating catastrophic plasma disruptions remains the primary operational imperative for magnetic confinement fusion devices, including ITER and future power reactors. While classical single-fluid magnetohydrodynamics (MHD) enforces strict local magnetic solenoidality (∇·B = 0), discrete boundary diagnostic arrays operating on accelerating, turbulent plasmas register pronounced spatial flux asymmetries prior to a macroscopic current quench.In this work, we establish a unified continuum framework coupling compressible fluid mechanics with dynamic relativistic frame transformations (E = v × B and H = -v × D) expressed in identical volumetric force density units (N/m³). We demonstrate that localized plasma vorticity (∇ × v ≠ 0) and mode-locking during the growth of non-axisymmetric instabilities (e.g., m/n = 2/1 tearing modes) naturally induce a macroscopic spatial divergence proxy D_B ≡ ∇·B ≠ 0 across discrete poloidal sensor arrays, accompanied by an anti-phase electric divergence precursor D_E ≡ ∇·E.To empirically validate this dual-divergence precursor, an automated, double-blind detection protocol was deployed across four radically distinct magnetic confinement topologies: (1) TCABR (Brazil, conventional tokamak), yielding an average early-warning lead time of 0.234 ms (maximum 1.502 ms); (2) FAIR MAST (UK, mega-ampere spherical tokamak), expanding the mitigation window to over 7.16 ms; (3) NIFS LHD (Japan, 3D superconducting stellarator), achieving a 49.58% detection rate (468 shots) with lead times up to 199.95 ms (mean 124.58 ms); and (4) GOLEM (Czech Republic, mini-tokamak), proving 100% detection sensitivity (44/44 discharges) with lead times up to 10.23 ms, encompassing over half the discharge lifetime. These empirical results establish multi-sensor flux asymmetry as a universal, noise-resilient, and scale-invariant precursor metric for active disruption mitigation systems (such as Shattered Pellet Injection).
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Wim Vegt (2026) studied this question.
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