
Over three months, James Martin enhanced the MaCh3 and MaCh3Tutorial repositories by developing particle-level and event-level plotting features, introducing YAML-driven configuration for flexible data visualization, and refining sub-event handling APIs. He used C++ and CMake to implement new data structures, automate variable detection in plotting workflows, and align histogram APIs for consistency and error reduction. His work included updating documentation to clarify build options and onboarding, as well as maintaining codebase stability through careful refactoring and bug fixes. These contributions improved maintainability, reproducibility, and usability for scientific computing workflows, demonstrating depth in code maintenance and software engineering practices.
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.
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.
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.
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.

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