eic/detector_benchmarks
Jul 2025 – Jul 2025
1 Month active
Languages Used
C++PythonShell
Technical Skills
CI/CDData AnalysisDetector SimulationHigh Energy PhysicsWorkflow Management (Snakemake)
Michał Sieczczyński
PROFILE
Michał Sieczczyński
During July 2025, Jan Kowalski developed automated benchmarks for the Backward Hcal detector in the eic/detector_benchmarks repository, focusing on reproducible performance evaluation in high energy physics. He integrated acceptance testing and basic distribution analysis into a CI/CD pipeline, leveraging Snakemake for workflow management and automation. Using Python, C++, and Shell scripting, Jan created configuration files and simulation workflows that enabled end-to-end analysis across various particle interactions and energy levels. This work established a reliable benchmarking baseline and continuous integration signals, streamlining detector simulation and analysis. The depth of automation improved feedback cycles and reproducibility for detector performance assessment.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
548
Activity Months1
Your Network
18 people
Work History
July 2025
1 Commits • 1 Features
Jul 1, 2025Implemented automated benchmarks for the Backward Hcal detector, with CI/CD integration to streamline performance evaluation. This includes acceptance testing and basic distribution analysis, plus Snakemake-driven workflows and configuration files to automate simulation and analysis across particle interactions and energy levels, enabling reproducible benchmarking and faster feedback.
1 Commits • 1 Features
Jul 1, 2025Implemented automated benchmarks for the Backward Hcal detector, with CI/CD integration to streamline performance evaluation. This includes acceptance testing and basic distribution analysis, plus Snakemake-driven workflows and configuration files to automate simulation and analysis across particle interactions and energy levels, enabling reproducible benchmarking and faster feedback.
July 2025
Activity
Loading activity data...
Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++PythonShell
Technical Skills
CI/CDData AnalysisDetector SimulationHigh Energy PhysicsWorkflow Management (Snakemake)
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline