July 2025 performance summary for DUNE/larnd-sim focused on delivering a key stability improvement in the diffusion algorithm. Implemented a necessary step-size alignment bug fix by increasing MIN_STEP_SIZE from 0.001 to 0.0064 to better match the bin sizes in the response file, improving diffusion distribution accuracy and reproducibility for simulation results used in downstream analyses. The work is captured in a single commit and provides a clear, testable parameter change that reduces misalignment between propagation steps and data bins.

June 2025: Focused on ensuring detector geometry alignment for module 0 in larnd-sim. Implemented pixel layout configuration correction reflecting the latest detector geometry, validated integration with the simulation pipeline, and prepared a clean patch for review. This work improves data processing accuracy for module 0 and enhances reproducibility of larnd-sim results.

May 2025 monthly summary for DUNE/larnd-sim: Delivered a focused internal refactor to simplify the t0_det calculation in the light incidence timing path while preserving photon timestamping accuracy. The change improves readability and reduces potential confusion without altering behavior, thereby lowering future maintenance risk and ensuring consistent simulation results.

March 2025 monthly summary for DUNE/ndlar_flow focusing on calibration workflow improvements and fixes. Delivered a feature enabling reference hit collection in calibration, and fixed a merge-induced default in calibration noise filter. These changes enhance calibration accuracy, MC calibration reliability, and data reproducibility.

February 2025 monthly highlights across DUNE repositories focused on delivering key features, stabilizing configurations, and improving data-model compatibility. Notable items include: updating Full-Scale Detector simulation parameters in FSD to singles_sim.yaml; refactoring detector constants for readability; standardizing SensDet naming and adding an ND-LAr-only configuration; broadening ROOT-to-HDF5 converter data-type support; and addressing calibration/noise-filter configuration and geometry path stability to reduce build-time risks and runtime failures.

Month: 2025-01 — Focused on bug fixes and documentation improvements that enhance simulation accuracy and developer productivity. Key features delivered: none new feature releases this month; changes were bug-fix oriented and configuration improvements. Major bugs fixed: 1) DUNE/larnd-sim: Detector Light Channel Configuration Correction — corrected light channel count in fsd.yaml from 8400 to 240 to align with simulation parameters (commit e6b479c7783d69d83493c34148344e4842e7d1f7). 2) DUNE/ndlar_flow: LArData Documentation DOI Correction — fixed incorrect DOI reference for mobility model parameterization details (commit 0555fdd93fa91952d1a179a35188f6845e9b25aa). Overall impact and accomplishments: improved accuracy of detector light simulations and ensured documentation references align with parameterization details, reducing risk of misconfiguration and onboarding friction. Technologies/skills demonstrated: YAML/configuration management, documentation accuracy, cross-repo coordination, and commit-level traceability.

December 2024 monthly summary for DUNE/ndlar_flow: Primary focus was stabilizing the charge reconstruction pipeline by reverting experimental noise-filter changes. No new feature deliveries this month. Major work involved rolling back noise filtering capabilities, removing CalibNoiseFilter class and related config, and preserving the established reconstruction behavior. This rollback reduces maintenance complexity, minimizes risk of unintended data alterations, and aligns the codebase with production-focused expectations. Commit activity demonstrates disciplined version control and traceability.

Month 2024-11: Focused feature tuning and configuration refinement for DUNE/larnd-sim. Implemented Simulation Time Parameter Tuning in the 2x2 detector by updating YAML-based time settings (time_padding and time_window) to 191, improving time-related simulation fidelity and stability. All changes are traceable via a single commit.