pyro-kinetics/pyrokinetics
Jul 2025 – Jul 2025
1 Month active
Languages Used
Python
Technical Skills
Backend DevelopmentData InterpolationData ParsingData ProcessingEquilibrium PhysicsFile I/O
Daniel Kennedy
PROFILE
Daniel Kennedy
Developed robust data ingestion capabilities for the pyro-kinetics/pyrokinetics repository, focusing on ELITEINP equilibrium and kinetics modeling from .eqin files. Designed and implemented an inline .eqin reader with 2D psi(R,Z) interpolation, improved error handling, and consistent unit management to enhance simulation reliability. Extended the kinetics reader to support impurity-aware plasma species by parsing charge, mass, and density, enabling more accurate plasma modeling. Leveraged Python for backend development, scientific computing, and numerical analysis, with an emphasis on data parsing and processing. The work improved end-to-end data handling, supporting more informed design decisions and accelerating simulation readiness for plasma physics applications.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
2
Lines of code
883
Activity Months1
Your Network
22 peopleSame Organization
@ukaea.uk11
Shared Repositories
11
Bhavin PatelMember
Bhavin PatelMember
David DickinsonMember
Francis CassonMember
FelixWattsYorkMember
Juan Ruiz RuizMember
ILexiconIMember
Mantas AbazoriusMember
Riju DuttaMember
Work History
July 2025
7 Commits • 2 Features
Jul 1, 2025July 2025 — Pyrokinetics: Delivered ELITEINP data ingestion capabilities to support robust equilibrium and kinetics modeling from .eqin formats. Implemented an inline .eqin reader, 2D psi(R,Z) interpolation, and improved error handling and unit consistency. Expanded kinetics reader to include impurities (charge, mass, density) for plasmas, enabling impurity-aware species construction. The work improves data reliability, accelerates simulation readiness, and enhances modeling fidelity for design and analysis.
7 Commits • 2 Features
Jul 1, 2025July 2025 — Pyrokinetics: Delivered ELITEINP data ingestion capabilities to support robust equilibrium and kinetics modeling from .eqin formats. Implemented an inline .eqin reader, 2D psi(R,Z) interpolation, and improved error handling and unit consistency. Expanded kinetics reader to include impurities (charge, mass, density) for plasmas, enabling impurity-aware species construction. The work improves data reliability, accelerates simulation readiness, and enhances modeling fidelity for design and analysis.
July 2025
Activity
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Quality Metrics
Correctness84.2%
Maintainability80.0%
Architecture82.8%
Performance67.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Backend DevelopmentData InterpolationData ParsingData ProcessingEquilibrium PhysicsFile I/OFile ParsingNumerical AnalysisObject-Oriented ProgrammingPhysics SimulationPlasma PhysicsPythonScientific ComputingUnit Handling
Repositories Contributed To
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