2026-04 Monthly Summary for DUNE/ndlar_flow focusing on configuration management and data processing workflows. Key YAML-based configuration enhancements were delivered by porting proto_nd_flow YAML changes into ndlar_flow, introducing new YAML files for modules, and updating existing configurations to improve compatibility and functionality of data processing tasks. No major bugs were reported this month; efforts concentrated on feature delivery and configuration migration to boost stability and maintainability.

December 2025 monthly summary: Delivered the Light Hit Finder Configuration Enhancement for DUNE/ndlar_flow, introducing new configuration parameters to optimize light-hit processing and data flow. No major bugs fixed this month. Overall impact includes improved processing flexibility and potential accuracy gains for downstream analytics, reducing manual tuning and increasing reliability. Demonstrated technical proficiency in configuration-driven development, Python-based parameterization, and Git-based release practices within the ndlar_flow repository.

November 2025 monthly summary focusing on DUNE/larnd-sim work: - Delivered feature enhancements that expand NDLAr detector capabilities and improve light-tracking pathways; no major regressions reported. - Maintained alignment with repository standards and validated impact on simulation fidelity and physics reach.

Month: 2025-10. Delivered CI Setup and Project Configuration for NDLAr in DUNE/ndlar_flow, establishing GitHub Actions workflows for linting and testing, updating .gitignore, and adding project configuration files to improve maintainability and code quality. No major bugs fixed this month. This foundation enables faster feedback loops, standardized development practices, and improved onboarding for new contributors. Technologies demonstrated: CI/CD with GitHub Actions, linting and automated testing integration, repository hygiene, and maintainability improvements.

May 2025 monthly summary focused on delivering a high-impact throughput optimization in DUNE/ndlar_flow. Implemented a tenfold increase of RawEventGeneratorMC.buffer_size to support larger data throughput, validated via interactive testing, and prepared for deployment with traceable commits. No major bugs fixed this month; the work lays groundwork for higher data-rate processing and improved scalability across the data pipeline.

April 2025 (2025-04) Monthly Summary for DUNE/2x2_sim: Maintained and stabilized automation by aligning the ndlar run script with the current workflow YAML filenames. This maintenance ensures charge event building, reconstruction, combined reconstruction, and calibration steps reference the latest workflow file naming, preventing breakages due to workflow structure changes and reducing downtime across the automation pipeline.

February 2025 monthly summary for the DUNE/2x2_sim development thread, focusing on business value, reliability, and maintainability. The month delivered data/MC processing enhancements, improved output organization, and clearer execution semantics that reduce risk and streamline downstream analysis.

January 2025 performance highlights across DUNE/2x2_sim and DUNE/ndlar_flow. Delivered feature enhancements and stability improvements enabling broader multi-neutrino analyses, improved CAF workflow reliability, hardened environment/setup for reproducible builds, and consistent MC configuration naming. Business value: increased analysis capability, reduced runtime errors, clearer user guidance, and streamlined deployment across the 2x2 framework. Notable technical achievements include Neutrino Reconstruction Enhancement (commit 88710e501db4b0847fe4dd2ab492c6549b0ff070), LArRecoND segfault fix (commit 0b034119c7393a0d8847635e3274c0fac24f1106), CAF workflow input validation and mandatory edepsim input (commits 29d158c8836285b2d4289a8d19ebc358c8413266 and cfac6ed41e8139da2e5898d0a9a198c7b65a2922), Pandora/LArNDReco environment hardening (commits 3e88185ee35070f3755e5149fec966a4a087c736, f67af2ed22d9ad7ed68943e45d11ef03ac7362d0, cd7260ba7904577f60f7f5d200bd7ba5b1177577, 8093e67017287255e266de81101ea7c026e64658, 87f35f690e1d25a72ba5775d991a730a1faa0a14), and MC naming alignment for ndlar_flow (commits 2ad31279fe9ae1d20a1740866af7e69aeded26ff and 8ea0206ea3c17e0b7d68cebe3906b4c318db127f).

December 2024 monthly performance summary: Focused on improving simulation accuracy and configurability across DUNE simulation repos. Key outcomes include delivering an environment-driven event generator selection for run_genie (DUNE/2x2_sim) and fixing a geometry alignment bug in detector geometry (DUNE/larnd-sim). These changes enhance business value by enabling reproducible, flexible simulation campaigns with less manual configuration, and strengthen the overall stability of end-to-end workflows. Technologies demonstrated include environment-variable driven configuration, YAML-based parameter tuning, and Git-based change management across multiple repositories.