sPHENIX-Collaboration/analysis
Nov 2024 – Nov 2024
1 Month active
Languages Used
C++Shell
Technical Skills
C++Data AnalysisFun4AllHigh Energy PhysicsMonte Carlo SimulationROOT
Hanpu Jiang
PROFILE
Hanpu Jiang
In November 2024, H.J. developed a JES Monte Carlo data processing pipeline for the sPHENIX-Collaboration/analysis repository, focusing on Jet Energy Scale calibration workflows. They engineered a new TTree maker and Fun4All macro in C++ to process simulation data, extracting vertex, tower, cluster, and jet information into a structured ROOT TTree. This modular approach improved the reproducibility and scalability of JES MC studies by enabling detailed, end-to-end data processing for calibration. The work demonstrated depth in high energy physics data analysis, Monte Carlo simulation, and subsystem integration, establishing a robust foundation for future JES-related analyses without reported bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,006
Activity Months1
Your Network
46 peopleSame Organization
@sphnx03.sdcc.bnl.gov2
Work History
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024: Delivered a JES Monte Carlo data processing pathway in sPHENIX-Collaboration/analysis, featuring a new TTree maker and Fun4All macro designed for JES MC studies. The pipeline processes simulation data (vertex, tower, cluster, and jet information) to generate a detailed TTree tailored for JES calibration. No major bugs were reported or fixed this month. This work enhances calibration accuracy, improves reproducibility of MC-based JES validation, and provides a scalable foundation for JES-related analyses. Technologies demonstrated include ROOT-based TTree construction, Fun4All macro usage, C++ data processing modules, and modular subsystem design for simulation data processing.
1 Commits • 1 Features
Nov 1, 2024November 2024: Delivered a JES Monte Carlo data processing pathway in sPHENIX-Collaboration/analysis, featuring a new TTree maker and Fun4All macro designed for JES MC studies. The pipeline processes simulation data (vertex, tower, cluster, and jet information) to generate a detailed TTree tailored for JES calibration. No major bugs were reported or fixed this month. This work enhances calibration accuracy, improves reproducibility of MC-based JES validation, and provides a scalable foundation for JES-related analyses. Technologies demonstrated include ROOT-based TTree construction, Fun4All macro usage, C++ data processing modules, and modular subsystem design for simulation data processing.
November 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Shell
Technical Skills
C++Data AnalysisFun4AllHigh Energy PhysicsMonte Carlo SimulationROOT
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