eic/EICrecon
Oct 2024 – Oct 2025
4 Months active
Languages Used
C++CMakeScript
Technical Skills
Algorithm DevelopmentC++Data StructuresEvent ReconstructionAlgorithm RefactoringC++ Development
Derek M Anderson
PROFILE
Derek M Anderson
Worked on the eic/EICrecon repository, delivering features and fixes to enhance calorimetry and event reconstruction workflows. Developed algorithms in C++ for cluster shape parameter calculation, modularizing logic to improve maintainability and testability. Enhanced ImagingClusterReco by supporting multiple MC-cluster associations and introducing energy-contribution weighting, increasing traceability and compatibility across edm4eic versions. Addressed data integrity in calorimeter hit merging, ensuring reliable raw hit references for downstream analytics. Improved configuration management by exposing and wiring parameters in the ScatteredElectronsEMinusPz factory, reducing runtime errors. Demonstrated strengths in algorithm development, bug fixing, and software design, with a focus on robust, traceable data processing.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
5Total
Bugs
2
Commits
5
Features
2
Lines of code
1,708
Activity Months4
Your Network
17 peopleShared Repositories
17
Work History
October 2025
2 Commits
Oct 1, 2025October 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.
2 Commits
Oct 1, 2025October 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
June 2025
1 Commits
Jun 1, 20252025-06 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.
June 2025
1 Commits
Jun 1, 20252025-06 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
1 Commits • 1 Features
Mar 1, 2025March 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.
1 Commits • 1 Features
Mar 1, 2025March 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
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary focusing on key accomplishments for eic/EICrecon, with emphasis on ImagingClusterReco enhancements and MC-to-reco association improvements.
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary focusing on key accomplishments for eic/EICrecon, with emphasis on ImagingClusterReco enhancements and MC-to-reco association improvements.
Activity
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Quality Metrics
Correctness88.0%
Maintainability88.0%
Architecture88.0%
Performance72.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMakeScript
Technical Skills
Algorithm DevelopmentAlgorithm RefactoringBug FixingC++C++ DevelopmentCMakeConfiguration ManagementData StructuresEvent ReconstructionFactory PatternSoftware DesignSoftware Engineering
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