

July 2025: PlasmaControl/DESC delivered key features, improved API reliability, and expanded documentation to accelerate adoption and value realization. Key features include Iota profile support in the ASCII writer with warning suppression; API updates adding contract equilibrium and Fourier-Zernike profile; deprecation warnings to steer users toward current APIs; module load statement and naming clarity refinements; extensive docs and examples covering net enclosed flux, eq.Psi, contract equilibrium, VMEC input file assumptions, and install/docs; new examples for adding_objectives and related tutorials (GenericObjective, ObjectiveFromUser). Major bugs fixed include kinetic profiles and ASCII output issues with a recommended shift to HDF5 output; improved from_field error handling; and a small typo fix. Impact: clearer API surface, reduced onboarding friction, increased stability, and richer learning materials enabling faster model development. Technologies/skills demonstrated: Python, API design and versioning, documentation and examples, deprecation strategy, error handling, and VMEC input-file context.
July 2025: PlasmaControl/DESC delivered key features, improved API reliability, and expanded documentation to accelerate adoption and value realization. Key features include Iota profile support in the ASCII writer with warning suppression; API updates adding contract equilibrium and Fourier-Zernike profile; deprecation warnings to steer users toward current APIs; module load statement and naming clarity refinements; extensive docs and examples covering net enclosed flux, eq.Psi, contract equilibrium, VMEC input file assumptions, and install/docs; new examples for adding_objectives and related tutorials (GenericObjective, ObjectiveFromUser). Major bugs fixed include kinetic profiles and ASCII output issues with a recommended shift to HDF5 output; improved from_field error handling; and a small typo fix. Impact: clearer API surface, reduced onboarding friction, increased stability, and richer learning materials enabling faster model development. Technologies/skills demonstrated: Python, API design and versioning, documentation and examples, deprecation strategy, error handling, and VMEC input-file context.
May 2025 (PlasmaControl/DESC) focused on delivering robust features, safer defaults, and improved modeling capabilities across coil visualization, optimization workflows, and field parameterization. The work emphasizes business value through more reliable simulations, clearer user guidance, and greater modeling flexibility. Key features delivered: - Plot coils visualization enhancements: introduced a check_intersection flag to coil plotting to optionally skip intersection checks; applied related code formatting improvements. (commits include: add flag to not check intersection when plotting coils; black formatting) - Equilibrium optimization defaults: changed default constraints to ForceBalance and required explicit objective/constraints with user warnings; updated tests and test tweaks to reflect the new API. - SGD optimization: improved logging by printing metrics before termination checks and ensured proper failure signaling when max iterations are reached. - Flexible FourierXY and spline field parameterization: added curve parameter 's' and enabled a source grid specification for Field discretization, increasing modeling flexibility. - VMEC spline profile derivative fix: corrected derivative access for spline profiles when writing VMEC input to prevent generation errors. Major bugs fixed: - VMEC spline profile derivative access issues during VMEC input generation (commit: 44024a1a3e7e0d8e238a057b9c656216dfeed3e9). - Tests adjusted and fixed for equilibrium optimization defaults and mandatory args (several commits in the eq.optimize series: c0cebc02..., 6aa9698..., 5d1ec342..., f6fe990..., c738fa0a...). Overall impact and accomplishments: - Reduced risk of user errors with safer defaults and explicit API requirements, enabling clearer workflows for optimization and plotting. - Increased modeling flexibility (source grids and curve parameterization) enabling more accurate representation of experimental configurations. - Improved observability through better logging and robust plotting diagnostics, contributing to faster iteration and debugging. Technologies/skills demonstrated: - Python-based numerical optimization, plotting, and I/O workflows. - Test-driven development and test maintenance for evolving APIs. - Code quality improvements including formatting (Black) and API clarity. - Data integrity and dimensionality handling in multi-dimensional arrays and field discretization.
May 2025 (PlasmaControl/DESC) focused on delivering robust features, safer defaults, and improved modeling capabilities across coil visualization, optimization workflows, and field parameterization. The work emphasizes business value through more reliable simulations, clearer user guidance, and greater modeling flexibility. Key features delivered: - Plot coils visualization enhancements: introduced a check_intersection flag to coil plotting to optionally skip intersection checks; applied related code formatting improvements. (commits include: add flag to not check intersection when plotting coils; black formatting) - Equilibrium optimization defaults: changed default constraints to ForceBalance and required explicit objective/constraints with user warnings; updated tests and test tweaks to reflect the new API. - SGD optimization: improved logging by printing metrics before termination checks and ensured proper failure signaling when max iterations are reached. - Flexible FourierXY and spline field parameterization: added curve parameter 's' and enabled a source grid specification for Field discretization, increasing modeling flexibility. - VMEC spline profile derivative fix: corrected derivative access for spline profiles when writing VMEC input to prevent generation errors. Major bugs fixed: - VMEC spline profile derivative access issues during VMEC input generation (commit: 44024a1a3e7e0d8e238a057b9c656216dfeed3e9). - Tests adjusted and fixed for equilibrium optimization defaults and mandatory args (several commits in the eq.optimize series: c0cebc02..., 6aa9698..., 5d1ec342..., f6fe990..., c738fa0a...). Overall impact and accomplishments: - Reduced risk of user errors with safer defaults and explicit API requirements, enabling clearer workflows for optimization and plotting. - Increased modeling flexibility (source grids and curve parameterization) enabling more accurate representation of experimental configurations. - Improved observability through better logging and robust plotting diagnostics, contributing to faster iteration and debugging. Technologies/skills demonstrated: - Python-based numerical optimization, plotting, and I/O workflows. - Test-driven development and test maintenance for evolving APIs. - Code quality improvements including formatting (Black) and API clarity. - Data integrity and dimensionality handling in multi-dimensional arrays and field discretization.
April 2025 performance: Strengthened PlasmaControl/DESC reliability and usability through VMEC I/O improvements, grid customization, and robust file handling, complemented by CI hygiene and documentation updates. The work delivered concrete features and fixes that improve reproducibility, reduce manual steps, and stabilize the development workflow.
April 2025 performance: Strengthened PlasmaControl/DESC reliability and usability through VMEC I/O improvements, grid customization, and robust file handling, complemented by CI hygiene and documentation updates. The work delivered concrete features and fixes that improve reproducibility, reduce manual steps, and stabilize the development workflow.
Concise monthly summary for PlasmaControl/DESC (2025-03). Focused on targeted bug fixes, stability hardening, and documentation improvements that collectively increase numerical accuracy, reliability, and maintainability for the DESC module.
Concise monthly summary for PlasmaControl/DESC (2025-03). Focused on targeted bug fixes, stability hardening, and documentation improvements that collectively increase numerical accuracy, reliability, and maintainability for the DESC module.
February 2025 (PlasmaControl/DESC): Strengthened API usability, reliability of geometry/coil computations, and testing discipline, delivering flexible contract evaluation, improved coil current handling, and robust documentation. The month emphasized correctness, performance stability, and developer enablement to accelerate future feature work.
February 2025 (PlasmaControl/DESC): Strengthened API usability, reliability of geometry/coil computations, and testing discipline, delivering flexible contract evaluation, improved coil current handling, and robust documentation. The month emphasized correctness, performance stability, and developer enablement to accelerate future feature work.
January 2025 (PlasmaControl/DESC): Achieved faster, more reliable simulations through targeted performance optimizations, improved documentation, and rigorous test hygiene. Core work reduced runtime cost and maintenance burden while ensuring API clarity and downstream business value. Highlights include removing JIT from potentials, optimizing Dommaschk potentials, and switching Hessian calculations to chunked jacrev/jacfwd for substantial speedups; comprehensive documentation and changelog updates; Boozmn fixes and test updates; repo cleanup and backend SymPy relocation; and systematic testing improvements (tolerances, iterations) that boosted reliability.
January 2025 (PlasmaControl/DESC): Achieved faster, more reliable simulations through targeted performance optimizations, improved documentation, and rigorous test hygiene. Core work reduced runtime cost and maintenance burden while ensuring API clarity and downstream business value. Highlights include removing JIT from potentials, optimizing Dommaschk potentials, and switching Hessian calculations to chunked jacrev/jacfwd for substantial speedups; comprehensive documentation and changelog updates; Boozmn fixes and test updates; repo cleanup and backend SymPy relocation; and systematic testing improvements (tolerances, iterations) that boosted reliability.
December 2024 in PlasmaControl/DESC: Delivered NFP attribute support and compatibility checks to improve physical fidelity, fixed associated attribute validation bug, and enhanced documentation and changelog accuracy. Reliability improvements included a reverse-mode rotation matrix fix, expanded test coverage with failing tests resolved, and fitter API improvements to stabilize VMEC geometry fitting. Engineering modernization moved lambdify to set_potentials, shifted to a jax-differentiable potential after SymPy integration, and updated dependencies. Overall impact: higher physics accuracy, more robust testing and maintenance, and clearer, up-to-date documentation for users and contributors.
December 2024 in PlasmaControl/DESC: Delivered NFP attribute support and compatibility checks to improve physical fidelity, fixed associated attribute validation bug, and enhanced documentation and changelog accuracy. Reliability improvements included a reverse-mode rotation matrix fix, expanded test coverage with failing tests resolved, and fitter API improvements to stabilize VMEC geometry fitting. Engineering modernization moved lambdify to set_potentials, shifted to a jax-differentiable potential after SymPy integration, and updated dependencies. Overall impact: higher physics accuracy, more robust testing and maintenance, and clearer, up-to-date documentation for users and contributors.
November 2024 (2024-11) monthly update for PlasmaControl/DESC. Delivered key features, improved numerical stability and plotting, expanded onboarding with tutorials, and strengthened documentation and code quality. The changes reduced user-reported issues, improved model fidelity, and provided clearer guidance for new users and developers. Business value highlights include more reliable simulations across geometries (sqrt(area) weighting), faster onboarding via new QFM tutorials, and stabilized test and release processes through unified dependencies and changelog updates.
November 2024 (2024-11) monthly update for PlasmaControl/DESC. Delivered key features, improved numerical stability and plotting, expanded onboarding with tutorials, and strengthened documentation and code quality. The changes reduced user-reported issues, improved model fidelity, and provided clearer guidance for new users and developers. Business value highlights include more reliable simulations across geometries (sqrt(area) weighting), faster onboarding via new QFM tutorials, and stabilized test and release processes through unified dependencies and changelog updates.
October 2024 – PlasmaControl/DESC: Focused on stability, clarity, and maintainability. Delivered changelog updates with revert capability, improved warning visibility, refactors for clearer intent, plotting configuration flexibility, and comprehensive documentation updates. Strengthened testing and pre-commit tooling, and progressed Stage 2 Notebook Weights workflow with updates and a revert, supported by targeted test fixes. Result: reduced release risk, clearer code, and a stronger foundation for future work across the repository.
October 2024 – PlasmaControl/DESC: Focused on stability, clarity, and maintainability. Delivered changelog updates with revert capability, improved warning visibility, refactors for clearer intent, plotting configuration flexibility, and comprehensive documentation updates. Strengthened testing and pre-commit tooling, and progressed Stage 2 Notebook Weights workflow with updates and a revert, supported by targeted test fixes. Result: reduced release risk, clearer code, and a stronger foundation for future work across the repository.
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