
Worked on the MITHIGAnalysis2024 repository to deliver distributed data processing and robust event selection for high-energy physics analysis. Developed Condor-based job submission workflows and enhanced input handling using C++ and bash scripting, enabling scalable processing of large datasets. Improved event selection logic and data quality by introducing configurable filters, new data branches, and multi-tier event rejection controls. Refactored code to support xrootd inputs and streamlined production readiness for 2025 data. Focused on maintainability by cleaning up testing environments and automating configuration discovery, resulting in more reliable, efficient analysis pipelines and smoother integration with distributed computing environments.
February 2026 performance summary for ginnocen/MITHIGAnalysis2024: Delivered core improvements in high-frequency data handling, enhanced event rejection control, and expanded data processing capabilities, alongside a targeted cleanup of testing configurations. These changes improved data quality, processing efficiency, and maintainability, enabling more reliable physics analyses and smoother Condor-based workflows.
February 2026 performance summary for ginnocen/MITHIGAnalysis2024: Delivered core improvements in high-frequency data handling, enhanced event rejection control, and expanded data processing capabilities, alongside a targeted cleanup of testing configurations. These changes improved data quality, processing efficiency, and maintainability, enabling more reliable physics analyses and smoother Condor-based workflows.
January 2026 performance summary for ginnocen/MITHIGAnalysis2024: Delivered focused feature enhancements with configurability and data-quality improvements, fixed critical data-selection branch issues, and enhanced production readiness for 2025 data.
January 2026 performance summary for ginnocen/MITHIGAnalysis2024: Delivered focused feature enhancements with configurability and data-quality improvements, fixed critical data-selection branch issues, and enhanced production readiness for 2025 data.
December 2025 — Focused on delivering distributed data processing capabilities and robust input handling for the MITHIGAnalysis2024 pipeline. Implemented a Condor-based ForestReducer job submission workflow and enhanced Lc->pKs messenger with 2025 triggers and PID improvements. Also refactored I/O handling to support xrootd inputs via TFile::Open and streamlined PID initialization, laying groundwork for scalable, reliable distributed analysis in 2026.
December 2025 — Focused on delivering distributed data processing capabilities and robust input handling for the MITHIGAnalysis2024 pipeline. Implemented a Condor-based ForestReducer job submission workflow and enhanced Lc->pKs messenger with 2025 triggers and PID improvements. Also refactored I/O handling to support xrootd inputs via TFile::Open and streamlined PID initialization, laying groundwork for scalable, reliable distributed analysis in 2026.

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