Concise monthly summary for 2026-01 focusing on business value and technical achievements. Key features delivered: - ND-LAr Pixel Response Simulation Enhancement (900V Shield Plane) for DUNE/larnd-sim. Added a pixel response file incorporating a shield plane at 900V to enable more accurate modeling of detector response under specified voltage conditions and to enhance simulation capabilities in larnd-sim. Commit: 4f8999297f5512521187dd37556d3a31375db86f. Major bugs fixed: - No major bugs reported or fixed this month. Overall impact and accomplishments: - Significantly improved simulation fidelity for the ND-LAr project by enabling voltage-conditioned detector response modeling, reducing risk in design validation and accelerating hardware/software integration planning. The change integrates cleanly into the larnd-sim workflow with traceable commit history. Technologies/skills demonstrated: - Detector simulation modeling, handling of high-voltage configurations, pixel response file integration, version control discipline and commit traceability, and cross-team collaboration to advance ND-LAr objectives.

Month: 2025-11 — Concise monthly summary of key features, fixes, and outcomes for DUNE/larnd-sim. Key features delivered: - Detector Periodic Reset Configurability: Added a global option to disable periodic resets, with updated default configuration values for 2x2 and FSD configurations. This enables more flexible experiment runs and reduces unintended resets. - Simulation Debugging Arrays Cleanup: Removed unnecessary debugging arrays from simulation code to streamline data handling and reduce memory overhead. Major fixes and maintenance: - Bugfix/maintenance: Corrected comments and default values for 2x2 and FSD to align code with intended behavior and improve clarity for future changes. Overall impact and accomplishments: - Increased configurability and stability of simulation runs, improving reproducibility and reducing operational risk. - Reduced memory footprint and debugging noise, accelerating development cycles and simplifying onboarding for new contributors. Technologies and skills demonstrated: - Feature flag/configuration management, default-value validation, and code cleanup for maintainability. - Clear commit hygiene and documentation alignment to ensure reliable baseline configurations. - Focus on business value: better experiment control, more predictable results, and lower long-term maintenance costs.

October 2025 (DUNE/larnd-sim) — Focused feature delivery to improve energy reconstruction, calibration readiness, and diagnostic visibility. Key features delivered: improved ADC-to-keV conversion in the FSD notebook with a new gain factor and adjusted voltage-reference calculations, plus execution reset to ensure reproducibility; added detector gain calibration parameter (larpix_gain) to fsd.yaml for preliminary calibration within larnd-sim; updated FSD simulation thresholds and plotting (threshold 8→15, default file value 8000→15000) with a new code cell to compute the median of combined means and an xlabel for the histogram. No major bugs fixed are recorded this month; efforts emphasized stability and reproducibility through configuration and visualization improvements. Overall impact: higher energy reconstruction fidelity, streamlined calibration workflow, and clearer diagnostics for threshold-based analyses, translating to faster validation cycles and more reliable detector performance. Technologies/skills demonstrated: Python notebooks for calibration and data analysis, YAML-based configuration for detector parameters, plotting and diagnostic visualization, and rigorous parameter-driven experimentation for calibration and thresholds.

September 2025: Delivered critical calibration fixes across DUNE repos to improve measurement accuracy and data processing reliability. Implemented Threshold Calibration Update for DUNE/larnd-sim (modules 0–3) based on 2x2 data corrections, and fixed the Vcm calibration parameter in DUNE/ndlar_flow's CalibHitBuilderData.yaml to ensure accurate FSD data processing. These changes enhance data quality, reduce calibration drift, and improve downstream analytics and simulation fidelity. Demonstrated strong configuration management, cross-repo collaboration, and attention to data integrity.

Month: 2025-08 Key features delivered: - Detector Module Threshold Calibration Update (DUNE/larnd-sim): Updated 2x2 thresholds for detector modules 0-3 to refine calibration and operational parameters, improving detector response and stability. Major bugs fixed: - Detector Timing Precision Fix in larnd-sim (c37b2188d2656de6c126dac4c5bcbce2bdd653ae): Removed a fixed delay from the receipt timestamp and refined ADC value calculation to reflect event timing, delivering more accurate event data timing. - Simulation-Real Data Alignment Configuration Update (DUNE/ndlar_flow): Updated thresholds and tile swap parameters to align larnd-sim MR6.5 processing with real data (no code changes), reducing configuration drift between simulation and production. Overall impact and accomplishments: - Improved data timing accuracy, detector calibration, and data quality for physics analyses. - Strengthened consistency between simulation and production pipelines, enabling more reliable processing and faster deployments. - Demonstrated effective cross-repo collaboration with targeted, config-driven improvements. Technologies/skills demonstrated: - Python-based timing and calibration fixes, configuration management, and threshold calibration. - Version control hygiene with traceable commits and clear messaging. - Alignment of simulation parameters with real-world data pipelines to reduce drift and manual intervention.

July 2025 monthly summary for DUNE/larnd-sim focusing on end-to-end calibration enhancements for the FSD detector. Delivered channel-by-channel threshold analysis, added notebooks for pixel ID mapping and HDF5 threshold extraction/visualization, and updated configuration to include a new pixel threshold file. These changes improve calibration accuracy, traceability, and automation with minimal impact on existing workflows.

April 2025 (Month: 2025-04): Delivered a focused enhancement to the Noise Filter System within DUNE/ndlar_flow, emphasizing network-agnostic operation and improved observability. The changes enable dynamic channel ID calculations and threshold handling pulled from input configurations, supporting flexible deployments across diverse network topologies. The update also improves threshold visibility in logs, aiding troubleshooting and validation.

March 2025: Delivered targeted enhancements to DUNE/larnd-sim that strengthen data fidelity and processing reliability. Key feature: Pixel Threshold Data Integration, adding new pixel threshold files for modules 0-3 and updating configuration to locate them under bin, enabling streamlined simulation data processing. Major bug fix: TPB/BPG calibration corrected by standardizing TPB to 128 in the LUT, ensuring accurate pixel threshold calculations during simulations. Impact: improved simulation accuracy, reduced data processing friction, and clearer thresholds workflow. Technologies/skills: repository management, configuration updates, calibration logic, LUT handling, and data processing workflows.

February 2025 (2025-02) – DUNE/larnd-sim: Focused on enhancing per-channel configurability and data-driven threshold workflows to improve simulation accuracy, reproducibility, and deployment readiness. Delivered configurable channel-level pixel thresholds, channel-to-pixel mapping tooling, and automated threshold processing to streamline calibration data pipelines, enabling faster iteration and more precise LArPix-based simulations.

Monthly work summary for 2024-11 focusing on a critical TPC geometry configuration fix in the DUNE/ndlar_flow repository. The work improves data processing accuracy by ensuring correct multi-tile geometry across TPC1/TPC2 and introduces a YAML-based mapping for chip-to-position, tile index, and orientation that supports robust, scalable configurations.

Concise monthly summary for 2024-10: Delivered a key feature in DUNE/ndlar_flow: FSD geometry refinement and channel layout update, improving spatial arrangement and system compatibility with potential performance benefits from better alignment. No distinct bug fixes were recorded in the provided data for this month. Overall, the work enhances integration safety and lays groundwork for future optimizations, with clear versioned changes for traceability.