pyro-kinetics/pyrokinetics
Jan 2025 – Feb 2026
12 Months active
Languages Used
INIPythonFortran
Technical Skills
Algorithm ImplementationBackend DevelopmentCode RefactoringData AnalysisData ProcessingData Reading
physycola
PROFILE
Physycola
Toby Adkins developed and maintained core scientific computing infrastructure for the pyro-kinetics/pyrokinetics repository, focusing on robust data pipelines, simulation input/output, and numerical reliability. He engineered cross-format data extraction, persistent reference value storage, and dynamic configuration for plasma physics simulations, using Python, Fortran, and NetCDF. Toby’s work included implementing early data downsampling, automated testing triggers, and resilient error handling to reduce runtime failures and improve reproducibility. He refactored code for numerical correctness, enhanced support for multi-species plasma models, and expanded compatibility with evolving data formats. The depth of his contributions ensured stable, maintainable, and extensible workflows for scientific analysis.
Overall Statistics
Feature vs Bugs
42%Features
Repository Contributions
60Total
Bugs
18
Commits
60
Features
13
Lines of code
2,601
Activity Months12
Your Network
11 peopleShared Repositories
11
Bhavin PatelMember
Bhavin PatelMember
David DickinsonMember
Daniel KennedyMember
Francis CassonMember
FelixWattsYorkMember
Juan Ruiz RuizMember
ILexiconIMember
Mantas AbazoriusMember
Work History
February 2026
2 Commits
Feb 1, 2026February 2026 monthly summary for pyro-kinetics/pyrokinetics. Focused on stabilizing data ingestion workflows in Equilibrium and PyroScan through robust spline initialization and improved first-point load error handling. Deliveries include initialization of spline objects when loading equilibrium data from netCDF to preserve continuity and enhanced PyroScan error handling to prevent runtime failures. Impact: more reliable simulations and analytics, reduced downtime due to data-loading issues, and improved resilience of the data pipeline. Technologies demonstrated include Python data models, netCDF I/O, defensive programming, and clear commit traceability.
2 Commits
Feb 1, 2026February 2026 monthly summary for pyro-kinetics/pyrokinetics. Focused on stabilizing data ingestion workflows in Equilibrium and PyroScan through robust spline initialization and improved first-point load error handling. Deliveries include initialization of spline objects when loading equilibrium data from netCDF to preserve continuity and enhanced PyroScan error handling to prevent runtime failures. Impact: more reliable simulations and analytics, reduced downtime due to data-loading issues, and improved resilience of the data pipeline. Technologies demonstrated include Python data models, netCDF I/O, defensive programming, and clear commit traceability.
February 2026
January 2026
1 Commits • 1 Features
Jan 1, 2026Month: 2026-01 Summary: Delivered a cross-format CGYRO rho_star extraction enhancement for the pyro-kinetics/pyrokinetics repository to improve robustness and compatibility of data extraction across newer file formats. Implemented parsing logic that correctly handles multiple CGYRO file structures, reducing format-induced failures. A targeted fix was committed (hash: 10a0101ebce9975594c32e4f7111d75ca88cf06f) with the message: "Fix for extracting rho_star from newer CGYRO files" to ensure reliability in rho_star extraction. This work reduces manual data wrangling, accelerates simulation setup, and yields more consistent, trustworthy results across formats.
January 2026
1 Commits • 1 Features
Jan 1, 2026Month: 2026-01 Summary: Delivered a cross-format CGYRO rho_star extraction enhancement for the pyro-kinetics/pyrokinetics repository to improve robustness and compatibility of data extraction across newer file formats. Implemented parsing logic that correctly handles multiple CGYRO file structures, reducing format-induced failures. A targeted fix was committed (hash: 10a0101ebce9975594c32e4f7111d75ca88cf06f) with the message: "Fix for extracting rho_star from newer CGYRO files" to ensure reliability in rho_star extraction. This work reduces manual data wrangling, accelerates simulation setup, and yields more consistent, trustworthy results across formats.
December 2025
3 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for pyro-kinetics/pyrokinetics: Delivered critical reliability improvements and a new QA capability. Key changes include (1) automated testing trigger mechanism added to trigger CI/tests on changes, improving QA throughput; (2) robust data loading for PyroScan with explicit ValueError handling to surface data-loading failures; (3) bug fixes for Z_EFF handling in GKInputCGYRO and GKOutputReaderCGYRO, ensuring Z_EFF and Z_EFF_METHOD are excluded from outputs and correcting GKOutputReaderCGYRO calculations. These workstreams reduce data-quality risk, shorten debugging cycles, and strengthen overall platform reliability.
3 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for pyro-kinetics/pyrokinetics: Delivered critical reliability improvements and a new QA capability. Key changes include (1) automated testing trigger mechanism added to trigger CI/tests on changes, improving QA throughput; (2) robust data loading for PyroScan with explicit ValueError handling to surface data-loading failures; (3) bug fixes for Z_EFF handling in GKInputCGYRO and GKOutputReaderCGYRO, ensuring Z_EFF and Z_EFF_METHOD are excluded from outputs and correcting GKOutputReaderCGYRO calculations. These workstreams reduce data-quality risk, shorten debugging cycles, and strengthen overall platform reliability.
December 2025
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025 performance summary: Focused work on enhancing GKInputGENE within the pyrokinetics repository to support adiabatic electron loading, address normalization issues in electron density/temperature calculations, and improve robustness for multi- and single-species plasma simulations. Implemented a NetCDF export reliability fix by ensuring the 'linear' attribute is cast to int prior to saving, reducing typing-related errors. Overall, these efforts improved simulation fidelity, data integrity, and user experience for broader plasma modeling use-cases.
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025 performance summary: Focused work on enhancing GKInputGENE within the pyrokinetics repository to support adiabatic electron loading, address normalization issues in electron density/temperature calculations, and improve robustness for multi- and single-species plasma simulations. Implemented a NetCDF export reliability fix by ensuring the 'linear' attribute is cast to int prior to saving, reducing typing-related errors. Overall, these efforts improved simulation fidelity, data integrity, and user experience for broader plasma modeling use-cases.
October 2025
3 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for pyro-kinetics/pyrokinetics: Delivered persistence for simulation reference values and safety/correctness improvements in reference handling, enabling reproducible experiments and safer parameter management. Implemented JSON-based storage with directory creation and proper unit handling; introduced warnings on overwriting references; refactored unit access/conversion for electron temperature, density, magnetic field, and minor radius; expanded test coverage to verify get/write/read flows and unit correctness. These changes lay groundwork for automated pipelines and CI validation.
3 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for pyro-kinetics/pyrokinetics: Delivered persistence for simulation reference values and safety/correctness improvements in reference handling, enabling reproducible experiments and safer parameter management. Implemented JSON-based storage with directory creation and proper unit handling; introduced warnings on overwriting references; refactored unit access/conversion for electron temperature, density, magnetic field, and minor radius; expanded test coverage to verify get/write/read flows and unit correctness. These changes lay groundwork for automated pipelines and CI validation.
October 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for pyro-kinetics/pyrokinetics: - Key feature delivered: Early data downsampling in the data pipeline to optimize loading for large datasets. Downsamples field_data and moment_data directly from raw inputs, reducing memory usage and processing time across analytics workloads. - Commit reference: f7399b86e322d65afe4ea0a71ea52f29224641a1 (Modified loading of fields and moments to downsize the data directly from the raw data). - Additional context: This work lays groundwork for scaling analyses to larger datasets with improved throughput and faster startup.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for pyro-kinetics/pyrokinetics: - Key feature delivered: Early data downsampling in the data pipeline to optimize loading for large datasets. Downsamples field_data and moment_data directly from raw inputs, reducing memory usage and processing time across analytics workloads. - Commit reference: f7399b86e322d65afe4ea0a71ea52f29224641a1 (Modified loading of fields and moments to downsize the data directly from the raw data). - Additional context: This work lays groundwork for scaling analyses to larger datasets with improved throughput and faster startup.
August 2025
7 Commits • 2 Features
Aug 1, 2025August 2025 focused on improving robustness, configurability, and data integrity across the PyroKinetics project. Key features delivered include dynamic print flag configuration in cgyro, improved loading robustness for PyroScan data, and expanded GENE data support with normalization and accuracy checks. These changes reduce runtime errors, increase reliability of data pipelines, and enable handling of additional data formats for broader analysis. The work establishes solid groundwork for future extensions and better data governance, delivering measurable business value in reliability, maintainability, and analytical capabilities.
7 Commits • 2 Features
Aug 1, 2025August 2025 focused on improving robustness, configurability, and data integrity across the PyroKinetics project. Key features delivered include dynamic print flag configuration in cgyro, improved loading robustness for PyroScan data, and expanded GENE data support with normalization and accuracy checks. These changes reduce runtime errors, increase reliability of data pipelines, and enable handling of additional data formats for broader analysis. The work establishes solid groundwork for future extensions and better data governance, delivering measurable business value in reliability, maintainability, and analytical capabilities.
August 2025
June 2025
16 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for pyrokinetics/pyrokinetics: Delivered substantive feature improvements to ion species handling, robustness hardening of core physics computations, and enhancements to I/O/configuration and CI automation. These efforts increase model fidelity, reduce runtime errors, and streamline test pipelines, delivering measurable business value in simulation reliability and configurability.
June 2025
16 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for pyrokinetics/pyrokinetics: Delivered substantive feature improvements to ion species handling, robustness hardening of core physics computations, and enhancements to I/O/configuration and CI automation. These efforts increase model fidelity, reduce runtime errors, and streamline test pipelines, delivering measurable business value in simulation reliability and configurability.
May 2025
4 Commits
May 1, 2025Month 2025-05 — Key stability and correctness work in the physics core: GS2 input omprimfac handling fixed; GKInputGS2 sign errors corrected; automated testing groundwork added. Business value: more reliable simulations and reduced risk of incorrect results for downstream users.
4 Commits
May 1, 2025Month 2025-05 — Key stability and correctness work in the physics core: GS2 input omprimfac handling fixed; GKInputGS2 sign errors corrected; automated testing groundwork added. Business value: more reliable simulations and reduced risk of incorrect results for downstream users.
May 2025
April 2025
4 Commits
Apr 1, 2025April 2025 monthly summary for pyro-kinetics/pyrokinetics focused on data integrity, numerical robustness, and testing readiness in core simulations. Delivered concise fixes that reduce edge-case failures and improve stability of kinetic calculations, while keeping a clean, auditable commit history. Impact highlights: - Ky Value Positivity Enforcement: Ensured ky is always positive by applying absolute value in cgyro calculations; two commits addressing the same bug (8a371b087b3b6421833325e0935423dd0e76f290 and bba753e045f15e524c61bd9ec8678f6f07f6366d) to stabilize sign conventions and prevent downstream errors. - Robust Species Charge Rounding: Replaced np.isclose with np.allclose to verify that all elements of the species charge array are near integers before rounding, improving robustness of the psi_n grid construction (commit 334edb0c61d299258661be4bd4555f3eee1af9b3). - No-op Placeholder Commit for Testing: Added a placeholder commit for testing purposes with no functional changes (commit cf666f1fbf34376aac1668698452b59eb6bdbfe8). Technologies/skills demonstrated: - Python and NumPy for numerical correctness (abs-based sign handling, allclose-based rounding checks). - Incremental refactoring and commit hygiene to solidify traceability. - Testing-friendly workflow with placeholder commits to validate CI pipelines. Overall impact: More reliable simulations, fewer numerical edge-case failures, and stronger assurance of downstream results for kinetic analyses.
April 2025
4 Commits
Apr 1, 2025April 2025 monthly summary for pyro-kinetics/pyrokinetics focused on data integrity, numerical robustness, and testing readiness in core simulations. Delivered concise fixes that reduce edge-case failures and improve stability of kinetic calculations, while keeping a clean, auditable commit history. Impact highlights: - Ky Value Positivity Enforcement: Ensured ky is always positive by applying absolute value in cgyro calculations; two commits addressing the same bug (8a371b087b3b6421833325e0935423dd0e76f290 and bba753e045f15e524c61bd9ec8678f6f07f6366d) to stabilize sign conventions and prevent downstream errors. - Robust Species Charge Rounding: Replaced np.isclose with np.allclose to verify that all elements of the species charge array are near integers before rounding, improving robustness of the psi_n grid construction (commit 334edb0c61d299258661be4bd4555f3eee1af9b3). - No-op Placeholder Commit for Testing: Added a placeholder commit for testing purposes with no functional changes (commit cf666f1fbf34376aac1668698452b59eb6bdbfe8). Technologies/skills demonstrated: - Python and NumPy for numerical correctness (abs-based sign handling, allclose-based rounding checks). - Incremental refactoring and commit hygiene to solidify traceability. - Testing-friendly workflow with placeholder commits to validate CI pipelines. Overall impact: More reliable simulations, fewer numerical edge-case failures, and stronger assurance of downstream results for kinetic analyses.
February 2025
9 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for the pyrokinetics/pyrokinetics project. Focused on stabilizing core calculation paths, expanding observability, and improving test reliability to enable better physics analysis and lower risk deployments.
9 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for the pyrokinetics/pyrokinetics project. Focused on stabilizing core calculation paths, expanding observability, and improving test reliability to enable better physics analysis and lower risk deployments.
February 2025
January 2025
8 Commits • 2 Features
Jan 1, 2025January 2025 (Month: 2025-01) — Pyrokinetics project focused on strengthening GX data pipelines and input generation. Delivered two major feature areas with accompanying bug fixes and template enhancements, elevating reliability, flexibility, and onboarding for GX-based analyses. Key features delivered: - GKOutputReaderGX data handling and eigenvalue extraction improvements: robust data loading across GX output configurations, enhanced time index handling, coordinate extraction, and eigenvalue/eigenfunction retrieval. Implemented in-memory dataset creation and time index utilities; fixed eigenvalue/field retrieval workflows. - GX Input generation and template enhancements: improved GKInputGX input handling, dynamic generation of smooth-number parameters, and new GX input template registration for easier usage and configuration. Major bugs fixed: - GKOutputReaderGX: resolved time_indices issues and bugs in _get_eigenvalues/_get_fields; overall data loading reliability improvements. - GKInputGX: fixed geometry/grid bugs, enhanced handling for adiabatic electrons (density from quasineutrality, temperature from tau_fac when available); ky_min bug fixed for 0D arrays; updated grid-writing logic for linear/nonlinear cases. Overall impact and accomplishments: - More robust, configuration-agnostic GX data pipelines enabling consistent eigenvalue analyses; streamlined onboarding for new GX outputs via templates; reduced manual intervention and maintenance. Technologies/skills demonstrated: - Python-based data pipelines, in-memory dataset management, time-index handling, eigenvalue/eigenfunction retrieval, template-driven input generation, and robust I/O handling. Business value: - Increased reliability of scientific results, faster integration of new GX outputs, and improved reproducibility across experiments.
January 2025
8 Commits • 2 Features
Jan 1, 2025January 2025 (Month: 2025-01) — Pyrokinetics project focused on strengthening GX data pipelines and input generation. Delivered two major feature areas with accompanying bug fixes and template enhancements, elevating reliability, flexibility, and onboarding for GX-based analyses. Key features delivered: - GKOutputReaderGX data handling and eigenvalue extraction improvements: robust data loading across GX output configurations, enhanced time index handling, coordinate extraction, and eigenvalue/eigenfunction retrieval. Implemented in-memory dataset creation and time index utilities; fixed eigenvalue/field retrieval workflows. - GX Input generation and template enhancements: improved GKInputGX input handling, dynamic generation of smooth-number parameters, and new GX input template registration for easier usage and configuration. Major bugs fixed: - GKOutputReaderGX: resolved time_indices issues and bugs in _get_eigenvalues/_get_fields; overall data loading reliability improvements. - GKInputGX: fixed geometry/grid bugs, enhanced handling for adiabatic electrons (density from quasineutrality, temperature from tau_fac when available); ky_min bug fixed for 0D arrays; updated grid-writing logic for linear/nonlinear cases. Overall impact and accomplishments: - More robust, configuration-agnostic GX data pipelines enabling consistent eigenvalue analyses; streamlined onboarding for new GX outputs via templates; reduced manual intervention and maintenance. Technologies/skills demonstrated: - Python-based data pipelines, in-memory dataset management, time-index handling, eigenvalue/eigenfunction retrieval, template-driven input generation, and robust I/O handling. Business value: - Increased reliability of scientific results, faster integration of new GX outputs, and improved reproducibility across experiments.
Activity
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Quality Metrics
Correctness82.4%
Maintainability83.0%
Architecture79.4%
Performance74.0%
AI Usage22.0%
Skills & Technologies
Programming Languages
FortranINIPython
Technical Skills
Algorithm ImplementationBackend DevelopmentBug FixBug FixingBug fixingCode ConfigurationCode CorrectionCode RefactoringCode ReversionComputational PhysicsConfiguration ManagementData AnalysisData HandlingData LoadingData Parsing
Repositories Contributed To
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