December 2025 summary for DUNE/dunereco: Delivered key DUNEWireCell simulation pipeline enhancements with Hydra-based sparse processing, DUNE-VD parameter support, multi-layer fan-in data flow, and sparcify option; updated TbbFlow compatibility and aligned common utilities for VD workflows. Also mitigated production risk by disabling Magnify in production. These changes improve throughput, configurability, and production safety, delivering measurable business value in simulations and live operation readiness.

November 2025 (DUNE/dunereco) delivered two major features to enhance the simulation pipeline and data processing, focusing on realism, adaptability, and performance. The work strengthens simulation fidelity, data handling, and experimental throughput while establishing a foundation for future enhancements.

Monthly summary for 2025-10 focusing on delivering secure inference capabilities and robust configuration options for the DUNE/dunereco repository. This period centered on enabling SSL for the Inference Service and aligning deployment practices with security requirements.

Concise monthly performance summary for September 2025 focusing on DUNE/dunereco feature work, major improvements to DNN ROI processing, and the resulting business value.

Month: August 2025 Overview: focused on delivering core reconstruction utilities for DUNE LArTPC within dunereco and establishing a solid build setup for sustainable development. Key features delivered: - Particle interaction analysis utilities: new utility classes and functions for handling hits, tracks, showers, and slices to support reconstruction and analysis of particle events in DUNE's liquid argon TPC detectors. - Build setup: CMake configuration to manage dependencies and enable building the project across platforms. Major bugs fixed: - Corrected the time window handling in simchannel (commit 05fac0bf359975bacced4ed3293f67c079799900), improving timing alignment and analysis accuracy. Impact and accomplishments: - Accelerated development and enablement of reconstruction workflows; improved analysis reliability; easier onboarding and reproducible builds through CMake; better data integrity for particle-event reconstruction. Technologies/skills demonstrated: - C++ utility design for physics analyses, modular interfaces, and clean data abstractions (hits/tracks/showers/slices). - Cross-language build automation with CMake; practical experience with LArTPC reconstruction pipelines. - Version-controlled development with focused commits.

July 2025 monthly summary for SBNSoftware/sbndcode: Delivered a critical timing correction in the simulation pipeline by aligning window_start with params.sim.tick0_time and computing the reference_time relative to the updated window_start. The fix addresses an incorrect timing for the target tick, improving simulation accuracy and reliability for downstream analyses. The change is targeted, well-documented, and represents a focused bug fix addressing a production issue raised by Andy.

In March 2025, DUNE/dunereco delivered targeted geometry updates and data cleanup to enhance simulation fidelity and configuration reliability. Key changes included updating the VD Detector Geometry to v7 for the 1x8x14 module and removing a duplicated configuration file, reducing redundancy. These efforts improved reproducibility, lowered risk of misconfiguration, and streamlined data management, enabling faster iteration and more reliable results.

Month: 2025-02 — DUNE/dunereco. Focused on implementing a robust, automated installation and data-file management workflow for dune10kt-vd. No major bug fixes this month. Delivered a new CMake-based installation flow to locate and install .jsonnet and .json.bz2 data files under dunereco/DUNEWireCell/dune10kt-vd, improving build reliability and data availability for downstream workflows. This work is backed by a dedicated commit adding the missing cmake file (6802249c4ad194f30e997b52d83a143cb51e61a1).

January 2025: Focused on enabling accurate physics simulation and robust data pipelines for DUNE/dunereco. Delivered integration work for the 10kt Vertical Drift (VD) detector and standardized input data labels to streamline downstream analytics, improving modeling fidelity and maintainability for future runs.