
Derek Anderson contributed to the eic/EICrecon repository by developing and refactoring core algorithms for calorimetry and event reconstruction. He enhanced ImagingClusterReco to support multiple MC-cluster associations and introduced energy-weighted matching, improving traceability and analysis reproducibility. Derek modularized cluster shape parameter calculations by extracting logic into a dedicated CalorimeterClusterShape algorithm, increasing maintainability and testability. He addressed data integrity in calorimeter hit merging, ensuring reliable raw-to-merged hit references for downstream analytics. Additionally, Derek resolved configuration and API exposure issues in ScatteredElectronsEMinusPz, reducing runtime errors. His work demonstrated depth in C++ development, algorithm design, configuration management, and data structure handling.

October 2025 (eic/EICrecon): Focused on hardening the ScatteredElectronsEMinusPz configuration path and API exposure. Delivered critical bug fixes that enable reliable configuration and downstream usage. Key changes include exposing WithPodConfig publicly and wiring minEMinusPz/maxEMinusPz in the factory, reducing runtime errors and improving maintainability.
October 2025 (eic/EICrecon): Focused on hardening the ScatteredElectronsEMinusPz configuration path and API exposure. Delivered critical bug fixes that enable reliable configuration and downstream usage. Key changes include exposing WithPodConfig publicly and wiring minEMinusPz/maxEMinusPz in the factory, reducing runtime errors and improving maintainability.
2025-06 monthly summary for the eic/EICrecon repository focusing on data integrity improvements in the calorimeter hits merging path. Delivered a critical bug fix to ensure output merged hits correctly reference their corresponding raw hits, enhancing data lineage and reliability for calorimetry analytics. This work lays the groundwork for more accurate downstream physics analyses and traceable data provenance.
2025-06 monthly summary for the eic/EICrecon repository focusing on data integrity improvements in the calorimeter hits merging path. Delivered a critical bug fix to ensure output merged hits correctly reference their corresponding raw hits, enhancing data lineage and reliability for calorimetry analytics. This work lays the groundwork for more accurate downstream physics analyses and traceable data provenance.
March 2025 monthly work summary for eic/EICrecon focusing on modularization of calorimetry reconstruction. Delivered a dedicated algorithm to compute cluster shape parameters, extracted from the existing CalorimeterClusterRecoCoG to improve maintainability and testability of the calorimetry reconstruction chain.
March 2025 monthly work summary for eic/EICrecon focusing on modularization of calorimetry reconstruction. Delivered a dedicated algorithm to compute cluster shape parameters, extracted from the existing CalorimeterClusterRecoCoG to improve maintainability and testability of the calorimetry reconstruction chain.
October 2024 monthly summary focusing on key accomplishments for eic/EICrecon, with emphasis on ImagingClusterReco enhancements and MC-to-reco association improvements.
October 2024 monthly summary focusing on key accomplishments for eic/EICrecon, with emphasis on ImagingClusterReco enhancements and MC-to-reco association improvements.
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