April 2026—code quality and maintainability improvements in MaCh3. Focused on removing trailing whitespace to standardize the codebase, reduce diff noise, and support future feature work. This maintenance work enhances stability and developer productivity, laying groundwork for upcoming capabilities.

Month: 2026-03 — Focused on delivering enhanced observability for MaCh3 and stabilizing feature integration. No major bugs fixed this month; primary emphasis on a performance monitoring feature and clean integration with PDGS branches. Business impact centers on easier performance diagnosis, better user insights, and a foundation for capacity planning.

June 2025 monthly summary for MaCh3 and MaCh3Tutorial: delivered major enhancements to plotting APIs, refined sub-event handling, updated mass data references, and introduced YAML-driven configuration for plotting and fitting workflows. The work focused on business value: richer data visualizations, reproducible analysis, and maintainable APIs that reduce errors and speed up feature delivery.

This month focused on delivering end-to-end particle-level plotting capabilities across MaCh3Tutorial and MaCh3, establishing a cohesive foundation for particle-level data visualization, testing, and analysis. The work bridges tutorial sample generation with core plotting features, enabling richer physics exploration and faster feature iteration.

April 2025: Documentation update to reflect the new CMake Build_NDGAr option for DUNE/MaCh3_DUNE. No code changes; updated README.md and build documentation to ensure accurate guidance for developers configuring builds. This supports faster onboarding and reduces misconfiguration risk.