
Hamza Amar contributed targeted configuration and reconstruction enhancements to the DUNE/dunereco and DUNE/dunesw repositories, focusing on low-energy event clustering and detector geometry fidelity. He introduced new FCL-based parameters to improve low-energy cluster detection and expanded simulation coverage by creating MUSUN generator configurations for specific VD geometries. His work included updating detector service configurations to ensure correct module loading for the 1x8x14 3-view 30-degree setup, and refining reconstruction workflows for opflash10ppm, addressing both implementation and rollback for stability. Hamza applied skills in configuration management, data reconstruction, and simulation configuration, demonstrating depth in detector-specific software engineering.

July 2025 summary: Delivered targeted features and configuration changes across the DUNE dunereco and dunesw repositories, focusing on low-energy event handling, detector geometry fidelity, and simulation setup. Key efforts include parameterization for low-energy cluster detection, VD-geometry-aware MUSUN configurations, and detector service alignment for 1x8x14 geometry. A reconstruction workflow adjustment for opflash10ppm was implemented and temporarily reverted to preserve pipeline stability. These changes enhance clustering accuracy, broaden simulation coverage, and improve configuration reliability, driving higher fidelity results and reduced deployment risk.
July 2025 summary: Delivered targeted features and configuration changes across the DUNE dunereco and dunesw repositories, focusing on low-energy event handling, detector geometry fidelity, and simulation setup. Key efforts include parameterization for low-energy cluster detection, VD-geometry-aware MUSUN configurations, and detector service alignment for 1x8x14 geometry. A reconstruction workflow adjustment for opflash10ppm was implemented and temporarily reverted to preserve pipeline stability. These changes enhance clustering accuracy, broaden simulation coverage, and improve configuration reliability, driving higher fidelity results and reduced deployment risk.
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