Stellarator Coil and Plasma Equilibrium Data for Magnetic Gradient Analysis

John Kappel, Matt Landreman, Philipp Jurašić, and Sophia A. Henneberg authored this dataset exploring the relationship between magnetic gradient scale length and coil complexity in stellarators. The data includes analyses from the QUAsi-Symmetric Stellarator Repository and new optimizations of quasihelically symmetric equilibria and filament coils. It was last updated on June 23, 2026.

Use Cases

• Correlating magnetic gradient scale length with coil-surface distance based on the described min(L∇B) metric.
• Optimizing filament coil designs for improved particle confinement based on the described continuation method.
• Benchmarking coil optimization methods against finite beta equilibria with random boundary shapes as described.
• Analyzing trade-offs between coil complexity and plasma confinement proxies mentioned in the description.

Strengths

• Authored by a team of researchers from the Plasma Science and Fusion Center Dataverse, indicating institutional backing.
• Analysis includes a subset of the single-stage-optimized equilibria from the published QUAsi-Symmetric Stellarator Repository dataset.
• Last updated on June 23, 2026, suggesting recent maintenance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Plasma Science and Fusion Center Dataverse

Collection Method

Likely contains results from numerical optimization of stellarator equilibria and coil tracing methods.

Freshness

Last updated 2026-06-23 18:27:46; freshness should be verified.