sPHENIX-Collaboration/analysis
Aug 2025 – Apr 2026
4 Months active
Languages Used
C++Shell
Technical Skills
Build SystemsC++Data AnalysisFun4All FrameworkSoftware DevelopmentC++ programming
bkimelman
PROFILE
Bkimelman
Benjamin Kimelman developed and enhanced data analysis and jet physics workflows in the sPHENIX-Collaboration/analysis repository, focusing on robust event processing and calibration for high-energy physics experiments. He implemented C++ modules for laser QA tooling and whole-event energy correlation analysis, integrating them with the Fun4All framework to enable event-by-event quality assurance and efficient data storage. His work included optimizing calorimeter data handling, improving truth versus real data differentiation, and refining jet selection algorithms. By addressing bugs in observable calculations and truth constituent management, Benjamin delivered maintainable, scalable solutions that improved data quality, reproducibility, and the reliability of scientific computing pipelines.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
18Total
Bugs
2
Commits
18
Features
6
Lines of code
16,210,468
Activity Months4
Your Network
57 peopleShared Repositories
48
ahodges21Member
Antonio SilvaMember
aopattonMember
cdean-githubMember
Mickey ChiuMember
Cheng-Wei ShihMember
Derek M AndersonMember
Daniel J LisMember
Daniel J LisMember
Work History
April 2026
5 Commits • 1 Features
Apr 1, 2026April 2026: Delivered core jet processing and truth data handling improvements for sPHENIX-Collaboration/analysis, driving more accurate physics selections and better traceability. Key features include robust dijet selection and jet energy calibration enhancements, plus improved truth constituent management and verbose debugging instrumentation. These changes reduce analysis bias, improve reproducibility, and accelerate insight extraction from jet-based analyses.
5 Commits • 1 Features
Apr 1, 2026April 2026: Delivered core jet processing and truth data handling improvements for sPHENIX-Collaboration/analysis, driving more accurate physics selections and better traceability. Key features include robust dijet selection and jet energy calibration enhancements, plus improved truth constituent management and verbose debugging instrumentation. These changes reduce analysis bias, improve reproducibility, and accelerate insight extraction from jet-based analyses.
April 2026
March 2026
10 Commits • 3 Features
Mar 1, 2026In March 2026, the analysis repository delivered a cohesive set of data-model enhancements, truth-data handling improvements, and robustness fixes that collectively raise data quality, reliability, and maintainability for analysis workflows. The work emphasizes correct real vs. simulated data handling, precise vertex treatment, and resilient event processing with visibility into data quality and processing health, enabling safer jet selection and scalable batch runs. These changes establish a solid foundation for more automated, traceable analyses with clearer initialization and monitoring.
March 2026
10 Commits • 3 Features
Mar 1, 2026In March 2026, the analysis repository delivered a cohesive set of data-model enhancements, truth-data handling improvements, and robustness fixes that collectively raise data quality, reliability, and maintainability for analysis workflows. The work emphasizes correct real vs. simulated data handling, precise vertex treatment, and resilient event processing with visibility into data quality and processing health, enabling safer jet selection and scalable batch runs. These changes establish a solid foundation for more automated, traceable analyses with clearer initialization and monitoring.
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for sPHENIX-Collaboration/analysis: Delivered a major feature and a critical bug fix that strengthen end-to-end data analysis, performance, and calibration readiness. The work focuses on whole-event energy correlation (EEC) analysis across calorimeter inputs and improved observables handling.
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for sPHENIX-Collaboration/analysis: Delivered a major feature and a critical bug fix that strengthen end-to-end data analysis, performance, and calibration readiness. The work focuses on whole-event energy correlation (EEC) analysis across calorimeter inputs and improved observables handling.
February 2026
August 2025
1 Commits • 1 Features
Aug 1, 2025Month: 2025-08 — Focused on delivering Laser QA tooling for TPC data in the sPHENIX-Collaboration/analysis repo, enabling event-by-event QA and data storage via Fun4All. Implemented LaserQA and LaserClusterQA modules, integrated into the existing workflow, with new macro files, source files, and build configurations to support end-to-end laser data processing and calibration validation.
August 2025
1 Commits • 1 Features
Aug 1, 2025Month: 2025-08 — Focused on delivering Laser QA tooling for TPC data in the sPHENIX-Collaboration/analysis repo, enabling event-by-event QA and data storage via Fun4All. Implemented LaserQA and LaserClusterQA modules, integrated into the existing workflow, with new macro files, source files, and build configurations to support end-to-end laser data processing and calibration validation.
Activity
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Quality Metrics
Correctness85.6%
Maintainability81.2%
Architecture81.2%
Performance78.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Shell
Technical Skills
Build SystemsC++C++ developmentC++ programmingData AnalysisFun4All FrameworkPhysics SimulationSoftware Developmentalgorithm optimizationcalorimetrydata analysisdata processingevent handlingevent processingevent reconstruction
Repositories Contributed To
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