
Over five months, Ben Schmookler developed and maintained advanced detector benchmarking and reconstruction tools in the eic/EICrecon and eic/detector_benchmarks repositories. He implemented a full ZDC neutron event benchmark pipeline and introduced tunable seeding parameters to improve reconstruction efficiency, using C++ and ROOT for simulation and analysis. Ben addressed performance regressions by reverting MPDG digitization to a stable pixel-style readout and enhanced track propagation accuracy by refining initial state estimation. He improved data consistency in EDM4hep benchmarking scripts and resolved energy calculation bugs for reconstructed charged particles, while also expanding technical documentation with detailed workflow diagrams to support collaboration.

July 2025: Focused on accuracy, traceability, and collaboration in eic/EICrecon. Implemented a critical energy-consistency bug fix for ReconstructedChargedParticles and expanded track reconstruction documentation with detailed workflow diagrams. These changes improve reconstruction accuracy for charged particles and shorten onboarding for collaborators, while enhancing visibility of changes and intent.
July 2025: Focused on accuracy, traceability, and collaboration in eic/EICrecon. Implemented a critical energy-consistency bug fix for ReconstructedChargedParticles and expanded track reconstruction documentation with detailed workflow diagrams. These changes improve reconstruction accuracy for charged particles and shorten onboarding for collaborators, while enhancing visibility of changes and intent.
June 2025 monthly work summary for eic/detector_benchmarks focusing on data-type consistency improvements in EDM4hep to strengthen benchmarking accuracy and reduce numerical discrepancies across performance tests.
June 2025 monthly work summary for eic/detector_benchmarks focusing on data-type consistency improvements in EDM4hep to strengthen benchmarking accuracy and reduce numerical discrepancies across performance tests.
May 2025: Focused on improving track propagation accuracy in eic/EICrecon by aligning initial state estimation with the outermost measurement surface, reducing propagation errors and stabilizing downstream tracking results.
May 2025: Focused on improving track propagation accuracy in eic/EICrecon by aligning initial state estimation with the outermost measurement surface, reducing propagation errors and stabilizing downstream tracking results.
In April 2025, addressed a performance regression in MPDG digitization by reverting to pixel-style readout, restoring tracking efficiency and stability in eic/EICrecon. The change preserves default behavior aligned with proven performance while evaluating the 2D readout for future deployment.
In April 2025, addressed a performance regression in MPDG digitization by reverting to pixel-style readout, restoring tracking efficiency and stability in eic/EICrecon. The change preserves default behavior aligned with proven performance while evaluating the 2D readout for future deployment.
Monthly summary for 2024-11: Delivered two high-value features across detector benchmarking and reconstruction tuning. Implemented ZDC Neutron Event Benchmark to enable end-to-end benchmarking of neutron detection and reconstruction in the ZDC, with config files, simulation scripts, and analysis tools. Added Seed Finder deltaPhiMax parameter to control maximum allowed phi difference between space points, enabling tuning of seeding efficiency at low momentum, with accompanying tests and default behavior preserved. No major bugs fixed this month. Overall impact: provides actionable instrumentation for performance evaluation and tunable reconstruction, supporting data-driven optimization and smoother integration with EICrecon workflows. Technologies demonstrated include Python-based benchmarking tooling, configuration management, test-driven development, and cross-repo collaboration.
Monthly summary for 2024-11: Delivered two high-value features across detector benchmarking and reconstruction tuning. Implemented ZDC Neutron Event Benchmark to enable end-to-end benchmarking of neutron detection and reconstruction in the ZDC, with config files, simulation scripts, and analysis tools. Added Seed Finder deltaPhiMax parameter to control maximum allowed phi difference between space points, enabling tuning of seeding efficiency at low momentum, with accompanying tests and default behavior preserved. No major bugs fixed this month. Overall impact: provides actionable instrumentation for performance evaluation and tunable reconstruction, supporting data-driven optimization and smoother integration with EICrecon workflows. Technologies demonstrated include Python-based benchmarking tooling, configuration management, test-driven development, and cross-repo collaboration.
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