gafusion/omas
Jan 2025 – Apr 2026
12 Months active
Languages Used
PythonFortranCC++JSONDAT
Technical Skills
Bug FixCode RefactoringDocumentationBug FixingData MappingConfiguration Management
Torrin Bechtel
PROFILE
Torrin Bechtel
Over the past year, contributed to gafusion/omas by building and refining data processing pipelines for fusion diagnostics and simulation, focusing on plasma physics and machine configuration. Leveraged Python, Fortran, and JSON to implement new features such as equilibrium profile mapping, uncertainty estimation, and diagnostic data integration, while also addressing bugs in data mapping and error handling. Enhanced reliability through robust configuration management, code refactoring, and improved logging. Integrated machine learning and scientific computing techniques to support advanced data analysis and visualization. The work enabled more accurate modeling, streamlined workflows, and improved maintainability for complex tokamak and ITER data environments.
Overall Statistics
Feature vs Bugs
68%Features
Repository Contributions
53Total
Bugs
7
Commits
53
Features
15
Lines of code
7,616,028
Activity Months12
Your Network
14 peopleSame Organization
@fusion.gat.com6
Work History
April 2026
3 Commits
Apr 1, 2026In April 2026, I delivered targeted reliability improvements to magnetic mapping within gafusion/omas, focusing on compensations, data processing, and alignment with the current DIII-D configuration. Key work included correcting a typo that prevented compensation from applying to probes, addressing long-standing mapping and error-handling issues, and re-syncing probe pointnames with the DIII-D mhdin file. I also enhanced data interpolation and clarified position uncertainty terms for flux loops to improve mapping accuracy. These changes were implemented across three commits and significantly reduced data-processing errors while improving measurement fidelity and mapping reproducibility, enabling more accurate machine state estimation and faster troubleshooting.
3 Commits
Apr 1, 2026In April 2026, I delivered targeted reliability improvements to magnetic mapping within gafusion/omas, focusing on compensations, data processing, and alignment with the current DIII-D configuration. Key work included correcting a typo that prevented compensation from applying to probes, addressing long-standing mapping and error-handling issues, and re-syncing probe pointnames with the DIII-D mhdin file. I also enhanced data interpolation and clarified position uncertainty terms for flux loops to improve mapping accuracy. These changes were implemented across three commits and significantly reduced data-processing errors while improving measurement fidelity and mapping reproducibility, enabling more accurate machine state estimation and faster troubleshooting.
April 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for gafusion/omas: Key features delivered include the ITER boundary fitting and machine mappings enhancement. A dedicated ITER support file focused on boundary fitting was added, updating coil configurations and parameters to optimize machine performance and ITER mappings without vertical stabilization coils. This work reduces integration friction and expands operational capabilities for ITER-related workflows.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for gafusion/omas: Key features delivered include the ITER boundary fitting and machine mappings enhancement. A dedicated ITER support file focused on boundary fitting was added, updating coil configurations and parameters to optimize machine performance and ITER mappings without vertical stabilization coils. This work reduces integration friction and expands operational capabilities for ITER-related workflows.
January 2026
2 Commits
Jan 1, 2026January 2026 (2026-01) monthly summary for gafusion/omas: Implemented robust uncertainty handling improvements for two critical measurement components, enhancing data reliability and reducing downstream risk. The work focuses on fixing uncertainty calculations for the CO2 interferometer and the toroidal field, with changes tracked in two commits.
2 Commits
Jan 1, 2026January 2026 (2026-01) monthly summary for gafusion/omas: Implemented robust uncertainty handling improvements for two critical measurement components, enhancing data reliability and reducing downstream risk. The work focuses on fixing uncertainty calculations for the CO2 interferometer and the toroidal field, with changes tracked in two commits.
January 2026
December 2025
17 Commits • 5 Features
Dec 1, 2025December 2025 (2025-12) performance highlights for gafusion/omas. Delivered a suite of data-model enhancements and configuration fixes that improve data quality, reliability of analysis, and readiness for Fall 2025 operations. The changes span reflectometer data handling, wavelength data support for interferometers and polarimeters, EFIT alignment and constraint robustness, core machine configuration, gas injection/NBI data handling, and magnetic compensation updates.
December 2025
17 Commits • 5 Features
Dec 1, 2025December 2025 (2025-12) performance highlights for gafusion/omas. Delivered a suite of data-model enhancements and configuration fixes that improve data quality, reliability of analysis, and readiness for Fall 2025 operations. The changes span reflectometer data handling, wavelength data support for interferometers and polarimeters, EFIT alignment and constraint robustness, core machine configuration, gas injection/NBI data handling, and magnetic compensation updates.
November 2025
2 Commits • 2 Features
Nov 1, 2025Month: 2025-11. Focused on delivering core EFIT and RIP data integration capabilities in gafusion/omas, aligning data workflows with uncertainty propagation for COCOs transformations and enhancing diagnostic fidelity by mapping RIP measurements alongside existing interferometer and polarimeter data. Improvements include new EFIT constraint mapping with simultaneous retrieval of uncertainties and base quantities, plus data structure enhancements for DIII-D RIP diagnostic integration. Minor cleanup and fixes accompanying the changes.
2 Commits • 2 Features
Nov 1, 2025Month: 2025-11. Focused on delivering core EFIT and RIP data integration capabilities in gafusion/omas, aligning data workflows with uncertainty propagation for COCOs transformations and enhancing diagnostic fidelity by mapping RIP measurements alongside existing interferometer and polarimeter data. Improvements include new EFIT constraint mapping with simultaneous retrieval of uncertainties and base quantities, plus data structure enhancements for DIII-D RIP diagnostic integration. Minor cleanup and fixes accompanying the changes.
November 2025
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.
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.
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.
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
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.
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.
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.
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
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.
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.
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.
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
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.
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.
Activity
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Quality Metrics
Correctness87.0%
Maintainability84.6%
Architecture81.2%
Performance82.0%
AI Usage23.4%
Skills & Technologies
Programming Languages
CC++DATFortranJSONPython
Technical Skills
Backend DevelopmentBug FixBug FixingCode RefactoringCode ReversionCode ReviewCode formattingConfiguration ManagementData AnalysisData ConfigurationData ManagementData ManipulationData MappingData ProcessingData Validation
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