
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 and cluster definitions to improve low-energy physics reconstruction, and developed MUSUN generator configurations to expand simulation coverage for specific VD geometries. Hamza also updated detector service configurations to ensure correct alignment with the 1x8x14 geometry, addressing simulation reliability. His work included a careful adjustment and subsequent rollback of the opflash10ppm reconstruction workflow, demonstrating attention to deployment stability. These efforts reflect depth in configuration management and simulation setup using FCL.
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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