July 2025 progress on DUNE/ndlar_flow focused on architectural refactor and automation to scale pedestal processing. Implemented a pedestal processing overhaul into separate classes for histogram generation and pedestal JSON creation, enabling multi-file HDF5 pedestal inputs, with updated configuration and documentation reflecting the new architecture. Added shell-based automation for pedestal data generation for 2x2 and FSD detectors using h5flow, including defined input directories, file lists, outputs, and a workflow YAML. These changes improve throughput, reproducibility, and scalability of the data-processing pipeline.

June 2025 focused on delivering core data quality improvements and a streamlined pedestal workflow in DUNE/ndlar_flow. Key features include a Pixel Unique ID generation overhaul that introduces a per-pixel ID mapping using a LUT (later migrated to a dedicated function) and consolidation of ID defaults for pedestal, ADC counts, and gain; a new GeneratePedestals workflow that computes channel pedestals from LArPix data, outputs JSON and HDF5, and is integrated with H5Flow; and targeted calibration fixes addressing prompt hit handling and ADC-to-millivolt calculations. These efforts improve data consistency, processing throughput, and maintainability, enabling more reliable detector calibration, faster onboarding of new data, and clearer documentation.

April 2025 monthly summary for DUNE/larnd-sim: Implemented an important robustness enhancement by adding explicit out-of-bounds protection in the track pixel mapping code. The boundary checks guard get_track_pixel_map and get_track_pixel_map2 against indexing errors when calculated indices exceed the unique_pix array, significantly reducing crash risk and data corruption in simulations.