bmad-sim/BeamTracking.jl
May 2025 – Jul 2025
3 Months active
Languages Used
Julia
Technical Skills
Beam DynamicsCI/CDCode RefactoringFortran (implied by Bmad comparison)High-Energy PhysicsHigh-Performance Computing
Eiad Hamwi
PROFILE
Eiad Hamwi
Developed and enhanced the BeamTracking.jl repository over three months, focusing on robust particle tracking for high-energy physics simulations. Leveraging Julia and advanced numerical methods, the work centered on improving exact tracking accuracy, modularizing patch tracking kernels, and aligning simulation conventions with industry standards such as Bmad. The developer refactored core components for maintainability, optimized kernel performance, and expanded test coverage to ensure simulation reliability. By standardizing charge handling and refining rotation and drift modeling, the updates reduced integration risk and improved configurability. Comprehensive testing and CI/CD practices supported stable releases, enabling more accurate and efficient scientific computing workflows.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
21Total
Bugs
2
Commits
21
Features
6
Lines of code
21,733
Activity Months3
Your Network
148 peopleSame Organization
@cornell.edu138
Shared Repositories
10
Alex HeMember
CompatHelper JuliaMember
David SaganMember
eiad-hamwiMember
Joseph DevlinMember
Matt SignorelliMember
Matthew George SignorelliMember
ndwangMember
obeznosovMember
Work History
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 focused on stabilizing and modularizing patch tracking in BeamTracking.jl. Key refactor separated patch tracking into distinct kernels (offset, rotation, exact_drift) and extended SplitIntegration with a new patch_rotation parameter. These changes improve configurability and maintainability, reduce drift modeling complexity, and passed the full test suite, supporting more robust simulations and easier future enhancements.
1 Commits • 1 Features
Jul 1, 2025July 2025 focused on stabilizing and modularizing patch tracking in BeamTracking.jl. Key refactor separated patch tracking into distinct kernels (offset, rotation, exact_drift) and extended SplitIntegration with a new patch_rotation parameter. These changes improve configurability and maintainability, reduce drift modeling complexity, and passed the full test suite, supporting more robust simulations and easier future enhancements.
July 2025
June 2025
7 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for bmad-sim/BeamTracking.jl: Delivered targeted performance and correctness improvements to ExactTracking.jl, strengthened test coverage, and ensured alignment with Bmad conventions. These work items deliver tangible business value: faster simulations, more accurate drift/rotation behavior, and reliable regression tests that guard against future physics-model drift. Highlights include removal of chargeof usage, inlining critical paths, bug fixes in exact_solenoid!, and expanded test coverage for exact.jl and tracking modules. Maintained branch alignment to reduce integration risk.
June 2025
7 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for bmad-sim/BeamTracking.jl: Delivered targeted performance and correctness improvements to ExactTracking.jl, strengthened test coverage, and ensured alignment with Bmad conventions. These work items deliver tangible business value: faster simulations, more accurate drift/rotation behavior, and reliable regression tests that guard against future physics-model drift. Highlights include removal of chargeof usage, inlining critical paths, bug fixes in exact_solenoid!, and expanded test coverage for exact.jl and tracking modules. Maintained branch alignment to reduce integration risk.
May 2025
13 Commits • 3 Features
May 1, 2025May 2025 (bmad-sim/BeamTracking.jl) focused on stabilizing and extending exact tracking, strengthening test coverage, and standardizing physics constants to APC conventions. Delivered robust enhancements to exact tracking accuracy and rotation handling, expanded validation against Bmad/PTC using 10th-order map comparisons, and improved test infrastructure for maintainability and faster iteration. The work directly enhances simulation reliability, aligns with industry standards, and reduces downstream risk for beamline studies.
13 Commits • 3 Features
May 1, 2025May 2025 (bmad-sim/BeamTracking.jl) focused on stabilizing and extending exact tracking, strengthening test coverage, and standardizing physics constants to APC conventions. Delivered robust enhancements to exact tracking accuracy and rotation handling, expanded validation against Bmad/PTC using 10th-order map comparisons, and improved test infrastructure for maintainability and faster iteration. The work directly enhances simulation reliability, aligns with industry standards, and reduces downstream risk for beamline studies.
May 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability86.6%
Architecture84.2%
Performance81.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
Julia
Technical Skills
Beam DynamicsBug FixingCI/CDCode OptimizationCode RefactoringFortran (implied by Bmad comparison)High-Energy PhysicsHigh-Performance ComputingJulia ProgrammingKernel OptimizationNumerical AnalysisNumerical MethodsNumerical SimulationParticle Accelerator PhysicsParticle Physics
Repositories Contributed To
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