IMSA-CMS/CMSAnalysis
Jun 2025 – Dec 2025
5 Months active
Languages Used
C++BashPythonShell
Technical Skills
C++ DevelopmentData AnalysisData FilteringEvent ProcessingSoftware EngineeringCode Refactoring
Blake Hennings
PROFILE
Blake Hennings
During five months contributing to IMSA-CMS/CMSAnalysis, Ben Hennings developed and enhanced core analysis features for Higgs event studies. He refactored C++ and Python components to improve invariant mass calculations, data retrieval, and event filtering, enabling more accurate and reproducible analyses. His work included building a data cleaning pipeline, scalable multi-run analysis framework, and configurable event dumping, all designed to streamline data processing and reduce operational overhead. Leveraging C++, Python, and the ROOT framework, Ben emphasized maintainability and modularity, establishing robust workflows for data quality, visualization, and job submission. His contributions addressed both technical depth and practical research needs.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
10Total
Bugs
1
Commits
10
Features
6
Lines of code
23,173
Activity Months5
Work History
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 IMSA-CMS/CMSAnalysis monthly summary focusing on delivering the Higgs Event Analysis Enhancement. Refactored core analysis components to improve invariant mass calculations and data retrieval paths, boosting accuracy and data access reliability. No separate bug fixes documented; the changes address data handling edge cases and maintainability. Overall impact includes higher quality physics analyses, more robust data access, and a scalable foundation for future enhancements. Technologies/skills demonstrated include component refactoring, data path management, invariant mass calculation logic, and disciplined version control.
1 Commits • 1 Features
Dec 1, 2025December 2025 IMSA-CMS/CMSAnalysis monthly summary focusing on delivering the Higgs Event Analysis Enhancement. Refactored core analysis components to improve invariant mass calculations and data retrieval paths, boosting accuracy and data access reliability. No separate bug fixes documented; the changes address data handling edge cases and maintainability. Overall impact includes higher quality physics analyses, more robust data access, and a scalable foundation for future enhancements. Technologies/skills demonstrated include component refactoring, data path management, invariant mass calculation logic, and disciplined version control.
December 2025
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025: IMSA-CMS/CMSAnalysis delivered HiggsCompleteAnalysis enablement, updating analysis type, output paths, and CRAB configuration to support scalable Higgs analyses. The changes improve data accessibility, reproducibility, and job submission efficiency for downstream visualization workflows such as SuperPlot. This work demonstrates substantial technical craftsmanship and business value by enabling faster, more reliable Higgs analyses.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025: IMSA-CMS/CMSAnalysis delivered HiggsCompleteAnalysis enablement, updating analysis type, output paths, and CRAB configuration to support scalable Higgs analyses. The changes improve data accessibility, reproducibility, and job submission efficiency for downstream visualization workflows such as SuperPlot. This work demonstrates substantial technical craftsmanship and business value by enabling faster, more reliable Higgs analyses.
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for IMSA-CMS/CMSAnalysis focused on enabling a scalable Multi-Run Analysis Framework. Key groundwork included preparatory steps for multi-run execution and output cleanup to support multiple analysis runs, alongside initial histogram handling setup. This work establishes a foundation for reproducible, parallel analyses, accelerating insights while maintaining clean, reusable outputs across runs. No major bug fixes were recorded in this period based on available data. The efforts position the project to deliver faster, more reliable analyses with reduced operational overhead for future runs.
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for IMSA-CMS/CMSAnalysis focused on enabling a scalable Multi-Run Analysis Framework. Key groundwork included preparatory steps for multi-run execution and output cleanup to support multiple analysis runs, alongside initial histogram handling setup. This work establishes a foundation for reproducible, parallel analyses, accelerating insights while maintaining clean, reusable outputs across runs. No major bug fixes were recorded in this period based on available data. The efforts position the project to deliver faster, more reliable analyses with reduced operational overhead for future runs.
October 2025
September 2025
4 Commits • 2 Features
Sep 1, 2025September 2025 focused on strengthening data quality and visualization tooling for IMSA-CMS/CMSAnalysis. Delivered a data cleaning and file management pipeline for Higgs analysis, enabling a clean-before-merge workflow and repeatable data processing. Improved plotting and build tooling for JumboPlot with increased configurability and robust directory-level orchestration, plus improved default file handling for flexibility. Documented and clarified a jumboplot issue through a revert/documentation-only fix to prevent regressions. These efforts enhanced data integrity, reproducibility, and developer productivity across the analysis pipeline.
September 2025
4 Commits • 2 Features
Sep 1, 2025September 2025 focused on strengthening data quality and visualization tooling for IMSA-CMS/CMSAnalysis. Delivered a data cleaning and file management pipeline for Higgs analysis, enabling a clean-before-merge workflow and repeatable data processing. Improved plotting and build tooling for JumboPlot with increased configurability and robust directory-level orchestration, plus improved default file handling for flexibility. Documented and clarified a jumboplot issue through a revert/documentation-only fix to prevent regressions. These efforts enhanced data integrity, reproducibility, and developer productivity across the analysis pipeline.
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for IMSA-CMS/CMSAnalysis focused on delivering targeted Event Dumping enhancements and improving data capture control for eeeu_ events. Implemented a dedicated filter in EventDumpModule to conditionally trigger file output and updated HiggsBackgroundPlan to instantiate EventDumpModule with a more flexible configuration (new constructor) to enable refined event dumping and controlled data capture for eeeu_ events. This work enhances observability, reduces unnecessary I/O, and lays groundwork for future data-quality improvements.
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for IMSA-CMS/CMSAnalysis focused on delivering targeted Event Dumping enhancements and improving data capture control for eeeu_ events. Implemented a dedicated filter in EventDumpModule to conditionally trigger file output and updated HiggsBackgroundPlan to instantiate EventDumpModule with a more flexible configuration (new constructor) to enable refined event dumping and controlled data capture for eeeu_ events. This work enhances observability, reduces unnecessary I/O, and lays groundwork for future data-quality improvements.
June 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance68.0%
AI Usage22.0%
Skills & Technologies
Programming Languages
BashC++PythonShell
Technical Skills
C++ DevelopmentC++ programmingCode RefactoringData AnalysisData FilteringEvent ProcessingFile ManagementPlottingPython scriptingROOT FrameworkScriptingSoftware Engineeringdata analysisscientific computingshell scripting
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