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SPECTRAX-GK v1.6.10

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@rogeriojorge rogeriojorge released this 26 Jun 00:22

SPECTRAX-GK v1.6.10

This release finalizes the nonlinear turbulent-flux optimization tranche with explicit claim boundaries.

Nonlinear optimization evidence

  • Added tracked broad-matrix negative-evidence artifacts for the max-mode-5 QA nonlinear transport campaign.
  • Documented the strict 18-point matrix outcome across 3 surfaces, 2 field-line labels, and 3 k_y values.
  • Accepted QA/ESS optimized candidate: broad matrix failed with 9/18 samples passing.
  • Projected transport-weight 1e-3: stopped early after the all-sample gate became impossible to satisfy (1/18 passing samples, mean reduction below 2%).
  • Projected transport-weight 5e-4: stopped after the first completed sample increased heat flux by about 2.99%.
  • Strict t=1500 growth/QL/nonlinear-window rows remain negative-transfer evidence and are not promoted.

Claim boundary

SPECTRAX-GK keeps scoped single-point matched-audit optimization evidence and the VMEC-JAX-style optimization examples, but this release does not claim broad multi-surface nonlinear turbulent-flux stellarator optimization. That claim remains deferred until a future candidate family passes the full matrix gate.

Examples and docs

  • Updated optimization examples and documentation for editable VMEC files, objectives, algorithms, and matrix-audit workflows.
  • Added fail-closed instructions for the nonlinear transport matrix portfolio and release finalizer.
  • Added negative-evidence figures and JSON ledgers to the documentation.

Release checks

  • Main CI passed for 7817628e.
  • Release workflow passed and published spectraxgk 1.6.10 to PyPI.
  • Local release readiness, repository-size, artifact-manifest, package-architecture, performance, parallelization, Sphinx, package build, and twine metadata checks passed.