gafusion/omas
Jan 2025 – Oct 2025
7 Months active
Languages Used
PythonFortranCC++
Technical Skills
Bug FixCode RefactoringDocumentationBug FixingData MappingConfiguration Management
Torrin Bechtel
PROFILE
Torrin Bechtel
Over seven months, Bechtel contributed to the gafusion/omas repository by developing and refining data processing pipelines for fusion energy research. He implemented new mappings for equilibrium profiles, enhanced uncertainty estimation for magnetic measurements, and modernized device configuration management, focusing on reproducibility and data integrity. Using Python and scientific computing techniques, he integrated EFIT-based uncertainty propagation, improved magnetics data handling, and aligned data mappings with evolving standards like COCOS7. His work included backend development, code refactoring, and robust error handling, resulting in more reliable simulation workflows and improved data visualization tools for plasma physics analysis within the OMAS framework.
Overall Statistics
Feature vs Bugs
64%Features
Repository Contributions
28Total
Bugs
4
Commits
28
Features
7
Lines of code
158,287
Activity Months7
Your Network
13 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for gafusion/omas. Focused on delivering new equilibrium data mappings and visualization capabilities for plasma analysis, improving data fidelity and researcher workflow.
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for gafusion/omas. Focused on delivering new equilibrium data mappings and visualization capabilities for plasma analysis, improving data fidelity and researcher workflow.
October 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for gafusion/omas focusing on delivering an enhanced EFIT-based uncertainty estimation for magnetic measurements. Key feature delivered: refactored uncertainty calculation to incorporate digitizer counts, relative EFIT uncertainty, and an EFIT flux error term, selecting the largest component as the definitive error to provide more accurate error estimates. No major bugs fixed this month for gafusion/omas. Impact: improved data quality and reliability for magnetic measurements, enabling better downstream physics analyses and risk assessment in experiments. Technologies/skills demonstrated: EFIT integration, uncertainty propagation, code refactoring, digitizer data handling, and clear version-control practices. Commit: 53ced3b9d3a3ec3ab1e1f588487f5b97eaa513da - Add relative uncertainties from EFIT.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for gafusion/omas focusing on delivering an enhanced EFIT-based uncertainty estimation for magnetic measurements. Key feature delivered: refactored uncertainty calculation to incorporate digitizer counts, relative EFIT uncertainty, and an EFIT flux error term, selecting the largest component as the definitive error to provide more accurate error estimates. No major bugs fixed this month for gafusion/omas. Impact: improved data quality and reliability for magnetic measurements, enabling better downstream physics analyses and risk assessment in experiments. Technologies/skills demonstrated: EFIT integration, uncertainty propagation, code refactoring, digitizer data handling, and clear version-control practices. Commit: 53ced3b9d3a3ec3ab1e1f588487f5b97eaa513da - Add relative uncertainties from EFIT.
August 2025
5 Commits • 2 Features
Aug 1, 2025Month 2025-08 monthly summary for gafusion/omas focusing on delivering robust data handling, modernized mappings, and code correctness improvements that drive reliability and downstream business value.
5 Commits • 2 Features
Aug 1, 2025Month 2025-08 monthly summary for gafusion/omas focusing on delivering robust data handling, modernized mappings, and code correctness improvements that drive reliability and downstream business value.
August 2025
July 2025
12 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for gafusion/omas: Delivered cross-device data processing enhancements and safer magnetics integration to improve reliability and business value.
July 2025
12 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for gafusion/omas: Delivered cross-device data processing enhancements and safer magnetics integration to improve reliability and business value.
May 2025
5 Commits • 1 Features
May 1, 2025May 2025 — Delivered key features and fixes for gafusion/omas that improve simulation fidelity and data reliability. Implemented KSTAR configuration data versioning with dedicated mhdin.dat directories and ranges.dat to support distinct operational states, and deployed new mhdin.dat from KSTAR across configurations. Fixed DIII-D magnetics mapping issues, including correct extraction of pulse numbers from MDSplus IDs and resolution of psi data assignment in carbon density raw data used for core_profile fitting. These changes enhance data processing accuracy, reproducibility, and overall workflow robustness, enabling more reliable modeling and faster troubleshooting. Technologies demonstrated: MDSplus integration, versioned data management, Python scripting, data pipelines, and cross-team collaboration to align KSTAR and DIII-D workflows.
5 Commits • 1 Features
May 1, 2025May 2025 — Delivered key features and fixes for gafusion/omas that improve simulation fidelity and data reliability. Implemented KSTAR configuration data versioning with dedicated mhdin.dat directories and ranges.dat to support distinct operational states, and deployed new mhdin.dat from KSTAR across configurations. Fixed DIII-D magnetics mapping issues, including correct extraction of pulse numbers from MDSplus IDs and resolution of psi data assignment in carbon density raw data used for core_profile fitting. These changes enhance data processing accuracy, reproducibility, and overall workflow robustness, enabling more reliable modeling and faster troubleshooting. Technologies demonstrated: MDSplus integration, versioned data management, Python scripting, data pipelines, and cross-team collaboration to align KSTAR and DIII-D workflows.
May 2025
March 2025
1 Commits
Mar 1, 2025March 2025: Focused on reliability and data integrity in the DIII-D profiles mapping workflow within gafusion/omas. The primary deliverable was a bug fix to correct Pulse ID construction, enhancing data consistency and downstream mapping reliability.
March 2025
1 Commits
Mar 1, 2025March 2025: Focused on reliability and data integrity in the DIII-D profiles mapping workflow within gafusion/omas. The primary deliverable was a bug fix to correct Pulse ID construction, enhancing data consistency and downstream mapping reliability.
January 2025
3 Commits
Jan 1, 2025January 2025 (Month: 2025-01) Monthly summary for gafusion/omas. Focused on standardizing MDSplus naming across OMAS to improve consistency and logging accuracy. No new feature work completed this month; fixes implemented to align terminology across code, docs, and log messages. The fix enhances data acquisition system reliability and supports easier troubleshooting and future maintenance.
3 Commits
Jan 1, 2025January 2025 (Month: 2025-01) Monthly summary for gafusion/omas. Focused on standardizing MDSplus naming across OMAS to improve consistency and logging accuracy. No new feature work completed this month; fixes implemented to align terminology across code, docs, and log messages. The fix enhances data acquisition system reliability and supports easier troubleshooting and future maintenance.
January 2025
Activity
Loading activity data...
Quality Metrics
Correctness86.0%
Maintainability85.0%
Architecture78.6%
Performance79.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++FortranPython
Technical Skills
Backend DevelopmentBug FixBug FixingCode RefactoringCode ReversionCode ReviewConfiguration ManagementData AnalysisData ConfigurationData ManagementData ManipulationData MappingData ProcessingData ValidationData Visualization
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline