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
During a two-month period, Matteo Muraca contributed to the pabloprf/MITIM-fusion repository by developing and refining tools for fusion plasma physics data processing. He implemented Python-based features for converting ASTRA CDF outputs to input.gacode format, added R and Z coordinate handling, and introduced normalized poloidal flux calculations to improve data analysis workflows. Matteo also addressed a path resolution bug and integrated robust error handling for RZ data ingestion, enhancing reliability. His work included refactoring geometry calculations to support new flux surface reconstruction methods, demonstrating depth in scientific computing, numerical analysis, and code refactoring to strengthen the MITIM-fusion data pipeline.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
7Total
Bugs
1
Commits
7
Features
4
Lines of code
440
Activity Months2
Your Network
114 people
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
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