
Zeyu Zhang contributed to JeffersonLab/coatjava by developing and refining core features for particle tracking and reconstruction over a two-month period. He implemented the DocaCluster refinement, which improved cluster position accuracy for helix fitting, thereby enhancing the precision of particle tracking workflows. His work involved Java-based algorithm development and data analysis, integrating new programs into the existing pipeline to support end-to-end cluster position refinement. In addition, Zeyu extended the HelixFitObject data model to support path-length based Nhits calculation, addressing track reconstruction fidelity and stability. The work demonstrated depth in algorithm design, collaborative development, and full stack integration within the repository.
March 2026 monthly summary for JeffersonLab/coatjava focusing on track reconstruction improvements and bug fixes.
March 2026 monthly summary for JeffersonLab/coatjava focusing on track reconstruction improvements and bug fixes.
Concise monthly summary for February 2026 focusing on feature delivery, impact, and technical execution for JeffersonLab/coatjava.
Concise monthly summary for February 2026 focusing on feature delivery, impact, and technical execution for JeffersonLab/coatjava.

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