
Denise Casazza contributed to the DUNE/sandreco repository by developing and refining geometry-aware clustering and reconstruction features for detector simulation workflows. She introduced new data structures and integrated ROOT to enable detailed Monte Carlo property tracking, while refactoring cluster recovery algorithms to improve handling of incomplete cells and enhance numerical stability. Denise updated the SANDClustering API to incorporate geometry information, allowing for more accurate hit reconstruction and robust cluster classification by type. Working primarily in C++ and leveraging the ROOT framework, her work improved data provenance, reconstruction accuracy, and downstream analysis reliability, demonstrating a strong grasp of algorithm development and data processing.
February 2025: Progress on geometry-aware clustering and reconstruction in DUNE/sandreco. The month delivered API improvements, geometry-driven reconstruction enhancements, and cluster metadata classification to improve reconstruction accuracy, data provenance, and downstream physics analyses. These changes enable more reliable clustering results and better handling of incomplete cells, with scoped API changes for clearer usage and maintenance.
February 2025: Progress on geometry-aware clustering and reconstruction in DUNE/sandreco. The month delivered API improvements, geometry-driven reconstruction enhancements, and cluster metadata classification to improve reconstruction accuracy, data provenance, and downstream physics analyses. These changes enable more reliable clustering results and better handling of incomplete cells, with scoped API changes for clearer usage and maintenance.
January 2025 — DUNE/sandreco: Delivered Monte Carlo matching enhancements with new data structures and ROOT integration; improved cluster recovery with incomplete cell handling; fixed first photo electron handling in digitization. These changes increased MC workflow fidelity, enabled detailed property tracking, and improved digitization accuracy, delivering tangible business value for simulations and analyses.
January 2025 — DUNE/sandreco: Delivered Monte Carlo matching enhancements with new data structures and ROOT integration; improved cluster recovery with incomplete cell handling; fixed first photo electron handling in digitization. These changes increased MC workflow fidelity, enabled detailed property tracking, and improved digitization accuracy, delivering tangible business value for simulations and analyses.

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