Detection of Precursor Signatures to Plasma Instability via Emergent Field Correlation Dynamics Article Swipe
We present a global plasma simulation designed to identify early precursor signatures preceding macroscopic plasma instability and collapse. Starting from high-entropy, magnetized plasma conditions, the system self-organizes into coherent field structures while simultaneously exhibiting subtle correlation patterns that precede instability onset. The analysis reveals reproducible precursor signals encoded in field-phase alignment, entropy-gradient evolution, and long-range correlation growth, emerging well before any large-scale structural disruption occurs. These signatures persist across ensemble initializations and exhibit zero topology variance, indicating a robust and intrinsic instability-detection mechanism. The results suggest that plasma instability may be forecastable through emergent field correlations rather than relying solely on threshold-based diagnostics, offering potential pathways toward early-warning systems for confinement loss in high-energy plasma environments.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.5281/zenodo.17918064
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W7115067832