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Brian Naranjo

PROFILE

Brian Naranjo

Brian Naranjo contributed to the EZoni/WarpX repository by developing a rigid free-drift macroparticle advancement feature, enabling more accurate simulation of beam dynamics in strong focusing and ramped plasma environments. He applied C++ and numerical methods to implement three advancement modes, improving the fidelity of particle-in-cell simulations. Brian also addressed bugs affecting diagnostic accuracy, such as correcting subvolume displacement calculations for moving-window diagnostics and ensuring proper reporting of material permeability in macroscopic media. His work emphasized code refactoring and parameterization, resulting in more robust restart workflows and clearer diagnostic outputs, which enhanced both simulation reliability and maintainability for the WarpX codebase.

Overall Statistics

Feature vs Bugs

33%Features

Repository Contributions

3Total
Bugs
2
Commits
3
Features
1
Lines of code
81
Activity Months2

Work History

August 2025

1 Commits

Aug 1, 2025

Month: 2025-08 | Repository: EZoni/WarpX | Focus: bug fixes and code quality improvements affecting diagnostic reporting for material permeability in macroscopic media; no new feature deliveries this month.

July 2025

2 Commits • 1 Features

Jul 1, 2025

Month: 2025-07 — This period focused on strengthening WarpX beam physics fidelity, ensuring accurate diagnostics, and improving robustness for restart workflows. Key features delivered: Implemented rigid free-drift macroparticle advancement with three modes (vz, vzbar, and v) to enable more accurate simulation of beams in strong focusing and ramped plasma profiles. Commit 72959c19ca49756ac25ef06131a57ba28539ad5c. Major bugs fixed: Corrected the displacement calculation in moving-window diagnostics by basing subvolume displacement on the trailing edge of the simulation volume during initialization, ensuring accurate field output and reliable restarts. Commit b4156483bba99a9e2ab13fed31f9eba9e43e2ac3. Overall impact: Improved simulation fidelity and robustness for beam-plasma scenarios, leading to more reliable validation, reduced rework, and stronger confidence in design decisions. Technologies/skills demonstrated: High-performance computing practices, macroparticle dynamics modeling, moving-window diagnostics, and precise commit-level traceability for change management.

Activity

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Quality Metrics

Correctness93.4%
Maintainability86.6%
Architecture93.4%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++

Technical Skills

Bug FixC++Code RefactoringNumerical MethodsParameterizationParticle-in-Cell (PIC) MethodsPhysics SimulationSimulation Physics

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

EZoni/WarpX

Jul 2025 Aug 2025
2 Months active

Languages Used

C++

Technical Skills

C++Code RefactoringNumerical MethodsParameterizationParticle-in-Cell (PIC) MethodsPhysics Simulation