Month: 2025-10. Focused on delivering configurable, production-ready simulation setup for 10 kt HD atmospheric neutrino studies in the DUNE/dunesw repository. The work enables realistic, controllable simulations and provides the foundation for downstream analyses and physics studies.

Monthly summary for 2025-08 focusing on delivering a new angle reconstruction option in cafmaker for DUNE/dunesw. This work expands analysis options for particle reconstruction and improves the flexibility of the DUNE software configuration, with minimal disruption to existing workflows.

2025-07 monthly summary for DUNE/dunereco focusing on robustness and maintainability improvements in momentum computation and code documentation.

June 2025 performance summary: Delivered LLHD-based energy reconstruction enhancements across DUNE pipelines (duneana, dunesw, dunereco), corrected data labeling and score mappings, and aligned detector configurations to improve data quality, reproducibility, and cross-module consistency. This work enables more accurate energy estimates, robust configuration management, and stronger end-to-end physics results. Demonstrated configuration-driven development, cross-repo collaboration, and careful testing of MCS LLHD workflows.

May 2025 monthly summary for DUNE/duneana: Key features delivered include a CAFMaker module upgrade with enhanced event reconstruction and truth metadata integration. This entailed groundwork for detailed reconstruction with new detector labels and parameters, improved data handling and labeling for direction reconstruction and particle identification, and increased numerical precision in energy and distance calculations. A key deliverable was the integration of detailed truth matching and PFParticle metadata into standard records to link reconstructed data with simulation truth and improve event-level analytics. Major bugs fixed involved stabilizing the reconstruction workflow by addressing data labeling inconsistencies and integration hiccups across iterations, culminating in a robust truthmatching integration and improved compatibility with g4 information. Overall impact and accomplishments include a more traceable and analytics-ready reconstruction pipeline, enabling better physics performance assessments and decision-making, with stronger alignment between reconstructed data and simulation truth. Technologies and skills demonstrated include advanced reconstruction algorithms, truth matching, PFParticle metadata integration, precision computations, detector metadata labeling, and disciplined iterative software development."

April 2025: Stability and correctness focus for the DUNE/dunereco reconstruction. Delivered a critical bug fix in NeutrinoAngularRecoAlg to correctly detect drift direction by using drift sign, improving theta view accuracy and TPC classification after geometry updates. No user-facing features released this month; main value comes from improved data quality, pipeline reliability, and reduced risk of downstream misclassification.

March 2025 monthly summary for DUNE/duneana: Implemented atmospheric primary particle data features and re-enabled key analysis modules, delivering richer physics data and improved build integration.

February 2025 monthly summary focusing on key accomplishments across MaCh3 and DUNE components. Key features delivered include MCMC chain restart robustness, chain initialization from a previous state with build/environment updates, and energy reconstruction enhancements with repository reorganizations. Major bugs fixed include chain restart segfaults and memory management issues. Overall impact: improved stability, reproducibility, and efficiency in MCMC workflows; better build management and environment compatibility with newer ROOT versions; and a more maintainable codebase with improved data handling through the new particle inventory service. Technologies/skills demonstrated: C++, ROOT, MCMC methods, memory management, build scripting, environment configuration, namespace refactoring, and service-oriented data components. Business value: reduced downtime, faster convergence in fits, consistent environments for DUNE deployments, and clearer team ownership across projects.

Monthly summary for 2024-11: Delivered feature enrichments across DUNE repositories with a focus on containment analytics, directional/reconstruction configuration, and granular energy reconstruction paths. These changes enhance fiducial containment assessment, Vertical Detector (VD) direction reconstruction, atmospheric event processing, and muon-neutrino energy decomposition, enabling more precise event selection, background rejection, and physics analyses.