EZoni/WarpX
May 2026 – May 2026
1 Month active
Languages Used
C++Python
Technical Skills
C++ developmentPython scriptingnumerical methodsscientific computing
prkkumar-he
PROFILE
Prkkumar-he
Worked on the EZoni/WarpX repository to implement adaptive Runge-Kutta-Fehlberg 4(5) subcycling for B-field advancement, introducing user-configurable error tolerance and adaptive control parameters. Extended the plasma resistivity parser to support time-dependent expressions, allowing for more accurate modeling of complex plasma scenarios. Focused on C++ development and Python scripting, integrating numerical methods to improve both accuracy and performance. Enhanced diagnostics by adding detailed substep acceptance reporting and benchmarked the new features against analytical solutions for validation. The default fixed-step RK4 method was preserved, ensuring backward compatibility while enabling users to opt into adaptive stepping for advanced use cases.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
619
Activity Months1
Your Network
25 peopleSame Organization
@helionenergy.com1
Work History
May 2026
1 Commits • 1 Features
May 1, 20262026-05 monthly summary for EZoni/WarpX: Implemented adaptive RKF45 subcycling for B-field advancement, extended plasma resistivity parser to time-dependent expressions, and improved diagnostics. This work enables user-defined error tolerance, reduces B-field evaluation cost by using adaptive substeps, and enhances physics fidelity with time-varying resistivity. No formal bugs fixed this month; focus on delivering high-value features with validated benchmarks. Impact: improved accuracy and performance, greater flexibility for complex plasma scenarios, enabling experiments with time-dependent resistivity. Technologies: adaptive Runge-Kutta-Fehlberg 4(5), C++/PICMI integration, input parameterization, diagnostics/output, 1D Ohm-solver EM modes benchmark validation.
1 Commits • 1 Features
May 1, 20262026-05 monthly summary for EZoni/WarpX: Implemented adaptive RKF45 subcycling for B-field advancement, extended plasma resistivity parser to time-dependent expressions, and improved diagnostics. This work enables user-defined error tolerance, reduces B-field evaluation cost by using adaptive substeps, and enhances physics fidelity with time-varying resistivity. No formal bugs fixed this month; focus on delivering high-value features with validated benchmarks. Impact: improved accuracy and performance, greater flexibility for complex plasma scenarios, enabling experiments with time-dependent resistivity. Technologies: adaptive Runge-Kutta-Fehlberg 4(5), C++/PICMI integration, input parameterization, diagnostics/output, 1D Ohm-solver EM modes benchmark validation.
May 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
C++ developmentPython scriptingnumerical methodsscientific computing
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