pabloprf/MITIM-fusion
Dec 2024 – Jan 2025
2 Months active
Languages Used
Python
Technical Skills
Bug FixCode RefactoringData AnalysisData ConversionData ProcessingFile I/O
Marco M
PROFILE
Marco M
Contributed to the MITIM-fusion repository by developing and refining tools for fusion plasma physics data processing and simulation. Focused on Python-based solutions, the work included implementing end-to-end ASTRA data ingestion, converting CDF outputs to input.gacode format, and enhancing data accuracy through the addition of R, Z coordinates and normalized poloidal flux. Integrated robust error handling and refactored geometry calculations to support new flux surface reconstruction workflows. Leveraged skills in scientific computing, numerical analysis, and file I/O to improve the reliability and scalability of the data pipeline, enabling more efficient physics analysis and cross-module collaboration within the codebase.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
7Total
Bugs
1
Commits
7
Features
4
Lines of code
440
Activity Months2
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Work History
January 2025
1 Commits • 1 Features
Jan 1, 2025Month: 2025-01 | Repository: pabloprf/MITIM-fusion. Delivered RZ_to_MXH data processing and flux surface reconstruction integration, with targeted error handling and geometry refactor to enable the new reconstruction workflow. This work establishes a foundation for production-grade flux surface analysis and improves robustness of RZ data ingestion across the MITIM-fusion stack.
1 Commits • 1 Features
Jan 1, 2025Month: 2025-01 | Repository: pabloprf/MITIM-fusion. Delivered RZ_to_MXH data processing and flux surface reconstruction integration, with targeted error handling and geometry refactor to enable the new reconstruction workflow. This work establishes a foundation for production-grade flux surface analysis and improves robustness of RZ data ingestion across the MITIM-fusion stack.
January 2025
December 2024
6 Commits • 3 Features
Dec 1, 2024Concise monthly summary for 2024-12 focused on MITIM-fusion contributions: bug fixes and feature enhancements that enable end-to-end ASTRA data ingestion, improve data processing accuracy, and support physics analysis. The work strengthens the data pipeline reliability, accelerates iteration, and showcases cross-module collaboration across ASTRAtools, ASTRA_CDFtools, and GEQtools, delivering clear business value for MITIM-fusion and related workflows.
December 2024
6 Commits • 3 Features
Dec 1, 2024Concise monthly summary for 2024-12 focused on MITIM-fusion contributions: bug fixes and feature enhancements that enable end-to-end ASTRA data ingestion, improve data processing accuracy, and support physics analysis. The work strengthens the data pipeline reliability, accelerates iteration, and showcases cross-module collaboration across ASTRAtools, ASTRA_CDFtools, and GEQtools, delivering clear business value for MITIM-fusion and related workflows.
Activity
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Quality Metrics
Correctness83.0%
Maintainability83.0%
Architecture80.0%
Performance65.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Bug FixCode RefactoringData AnalysisData ConversionData ProcessingFile I/OFusion Plasma PhysicsNumerical AnalysisNumerical MethodsPath ManipulationPlasma Physics SimulationPython DevelopmentScientific Computing
Repositories Contributed To
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