sPHENIX-Collaboration/analysis
Dec 2025 – Dec 2025
1 Month active
Languages Used
C++
Technical Skills
C++C++ programmingData AnalysisSignal Processingdata analysisscientific computing
gwd213
PROFILE
Gwd213
Jaein Hwang enhanced the sPHENIX-Collaboration/analysis repository by developing Neutron Location Analysis Data Handling and Waveform Processing Enhancements. He implemented support for the new DST data format within the neutron location analysis pipeline, updating the ZDCNeutronLocPol module to handle the GL1 packet version and optimize event processing. Using C++ and leveraging skills in data analysis and signal processing, Jaein focused on improving compatibility with evolving data standards while increasing processing speed and localization accuracy. The work enabled seamless integration of next-generation data, reduced format-related issues, and supported more efficient, accurate analysis cycles for large-scale scientific experiments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
189
Activity Months1
Your Network
48 peopleShared Repositories
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ahodges21Member
Antonio SilvaMember
aopattonMember
bkimelmanMember
cdean-githubMember
Mickey ChiuMember
Cheng-Wei ShihMember
Derek M AndersonMember
Daniel J LisMember
Work History
December 2025
2 Commits • 1 Features
Dec 1, 2025Month: 2025-12 — sPHENIX-Collaboration/analysis Summary: In December 2025, we delivered the Neutron Location Analysis Data Handling and Waveform Processing Enhancements, adding support for the new DST data format and updating ZDCNeutronLocPol to handle GL1 packet version while optimizing event processing. No major bugs were resolved this month; stability was maintained during integration as we expanded data-format support and performance capabilities. Key achievements: - Implemented DST-format compatibility in the neutron location analysis pipeline. - Updated ZDCNeutronLocPol to handle GL1 packet version and optimize event processing for faster throughput and improved localization accuracy. - Code changes captured in two commits: 1fbcb21006b1741c84ed531a2055480c5f37125b (Change code to fit current dst format) and b4e66cbe928d4533325f31a30701bcca9c3efe6e (module updated). Impact and business value: - Enables seamless processing of the next-gen DST data, reducing format-related data rejection and enabling faster analysis cycles. - Improves neutron localization accuracy and processing speed, supporting larger datasets and more timely insights for experiments. Technologies and skills demonstrated: - DST data format integration, GL1 protocol handling, and event-processing optimization. - Incremental code refactoring and commit-driven development across data-handling modules.
2 Commits • 1 Features
Dec 1, 2025Month: 2025-12 — sPHENIX-Collaboration/analysis Summary: In December 2025, we delivered the Neutron Location Analysis Data Handling and Waveform Processing Enhancements, adding support for the new DST data format and updating ZDCNeutronLocPol to handle GL1 packet version while optimizing event processing. No major bugs were resolved this month; stability was maintained during integration as we expanded data-format support and performance capabilities. Key achievements: - Implemented DST-format compatibility in the neutron location analysis pipeline. - Updated ZDCNeutronLocPol to handle GL1 packet version and optimize event processing for faster throughput and improved localization accuracy. - Code changes captured in two commits: 1fbcb21006b1741c84ed531a2055480c5f37125b (Change code to fit current dst format) and b4e66cbe928d4533325f31a30701bcca9c3efe6e (module updated). Impact and business value: - Enables seamless processing of the next-gen DST data, reducing format-related data rejection and enabling faster analysis cycles. - Improves neutron localization accuracy and processing speed, supporting larger datasets and more timely insights for experiments. Technologies and skills demonstrated: - DST data format integration, GL1 protocol handling, and event-processing optimization. - Incremental code refactoring and commit-driven development across data-handling modules.
December 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++C++ programmingData AnalysisSignal Processingdata analysisscientific computing
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