OpenFUSIONToolkit/JPEC
Jul 2025 – Jul 2025
1 Month active
Languages Used
FortranJuliaPython
Technical Skills
Backend DevelopmentCode RefactoringData ParsingData VisualizationDebuggingFortran
d-burg
PROFILE
D-burg
Daniel Burgess developed an end-to-end equilibrium modeling and stability analysis workflow for the OpenFUSIONToolkit/JPEC repository, focusing on robust data handling and visualization to support plasma physics research. He implemented a Soloviev-analytical equilibrium integration pipeline in Julia, enabling accurate plasma state reconstruction and laying the foundation for EFIT-like data processing. Daniel introduced Mercier stability analysis tooling using spline interpolation and numerical methods to assess MHD stability, and improved calculation accuracy by refactoring constants and integrating spline fitting. He also built visualization and validation tools in Jupyter Notebooks, providing comparative analyses and debugging support. The work demonstrated strong backend and scientific computing depth.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
8Total
Bugs
1
Commits
8
Features
3
Lines of code
34,977
Activity Months1
Your Network
95 people
Work History
July 2025
8 Commits • 3 Features
Jul 1, 2025July 2025 performance summary for OpenFUSIONToolkit/JPEC. Focused on delivering an end-to-end equilibrium modeling and stability analysis workflow with robust data handling, visualization, and targeted bug fixes to improve reliability and business value. Key work targeted end-user impact: stronger plasma state reconstruction, more reliable stability assessments, and better decision support through validated visualizations.
8 Commits • 3 Features
Jul 1, 2025July 2025 performance summary for OpenFUSIONToolkit/JPEC. Focused on delivering an end-to-end equilibrium modeling and stability analysis workflow with robust data handling, visualization, and targeted bug fixes to improve reliability and business value. Key work targeted end-user impact: stronger plasma state reconstruction, more reliable stability assessments, and better decision support through validated visualizations.
July 2025
Activity
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Quality Metrics
Correctness78.8%
Maintainability78.8%
Architecture78.8%
Performance62.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
FortranJuliaPython
Technical Skills
Backend DevelopmentCode RefactoringData ParsingData VisualizationDebuggingFortranFortran to Julia ConversionFull Stack DevelopmentJuliaJulia ProgrammingJupyter NotebooksMHD Stability AnalysisNumerical AnalysisNumerical MethodsNumerical Simulation
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