ginnocen/MITHIGAnalysis2024
Dec 2025 – Feb 2026
3 Months active
Languages Used
C++bashBash
Technical Skills
C++ programmingdata analysisjob schedulingroot frameworkshell scriptingsoftware development
Jing Wang
PROFILE
Jing Wang
Over a three-month period, Boundino developed and enhanced distributed data processing pipelines for the ginnocen/MITHIGAnalysis2024 repository, focusing on high-energy physics analysis. He implemented Condor-based job scheduling workflows and refactored input handling to support xrootd, improving scalability and reliability for large-scale data processing. Using C++, Bash, and the ROOT framework, Boundino introduced configurable event selection, multi-tier event rejection, and new data branches to improve data quality and analysis flexibility. His work included targeted code cleanup and streamlined CLI options, resulting in a more maintainable, production-ready analysis environment that supports evolving requirements for 2025 and 2026 data.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
8
Lines of code
4,694
Activity Months3
Your Network
5 peopleWork History
February 2026
7 Commits • 4 Features
Feb 1, 2026February 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.
7 Commits • 4 Features
Feb 1, 2026February 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
January 2026
2 Commits • 2 Features
Jan 1, 2026January 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
2 Commits • 2 Features
Jan 1, 2026January 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
3 Commits • 2 Features
Dec 1, 2025December 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.
3 Commits • 2 Features
Dec 1, 2025December 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
Activity
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Quality Metrics
Correctness86.6%
Maintainability83.4%
Architecture83.4%
Performance81.6%
AI Usage30.0%
Skills & Technologies
Programming Languages
BashC++bash
Technical Skills
C++C++ developmentC++ programmingCommand Line ScriptingData AnalysisEvent SelectionSoftware Developmentbash scriptingdata analysishigh energy physicshigh-energy physicsjob schedulingroot frameworkshell scriptingsoftware development
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