SegmentLinking/cmssw
Dec 2024 – Jan 2025
2 Months active
Languages Used
Python
Technical Skills
Data AnalysisPhysics AnalysisData Analysis Configuration
Nicola Amapane
PROFILE
Nicola Amapane
Nicola Amapane enhanced the SegmentLinking/cmssw repository by developing features focused on muon data analysis and quality monitoring. Over two months, Nicola extended the muon data structure to include a bestTrackType integer, enabling more granular metadata for muon identification and supporting improved downstream analysis. Using Python and C++ within the CMSSW framework, Nicola also updated the nanoDQM configuration to add a BestTrackType plot, facilitating targeted diagnostics and observability of muon track types. The work demonstrated disciplined version control, careful metadata modeling, and a focus on non-disruptive, maintainable changes that improve data quality and support advanced physics analysis workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
2
Activity Months2
Your Network
388 people
Work History
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 achievements focused on observability and quality monitoring in the CMSSW NDA project segment. Implemented a targeted DQM configuration improvement by adding a BestTrackType plot to nanoDQM within SegmentLinking/cmssw to monitor muon track types. The change is a minor config update with low risk and immediate value for diagnostics and QA workflows.
1 Commits • 1 Features
Jan 1, 2025January 2025 achievements focused on observability and quality monitoring in the CMSSW NDA project segment. Implemented a targeted DQM configuration improvement by adding a BestTrackType plot to nanoDQM within SegmentLinking/cmssw to monitor muon track types. The change is a minor config update with low risk and immediate value for diagnostics and QA workflows.
January 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024In December 2024, delivered the Muon Identification Track Type Metadata feature to SegmentLinking/cmssw, adding a bestTrackType integer to the muon data structure to store the track type used for muon identification. This enables richer muon metadata, improving identification workflows and downstream analyses. No major bugs fixed this month. Overall, the work enhances data quality and enables more granular muon analysis, supporting more precise event selection and faster insights. Technologies demonstrated include CMSSW data structure extension, C++ metadata modeling, and disciplined version control.
December 2024
1 Commits • 1 Features
Dec 1, 2024In December 2024, delivered the Muon Identification Track Type Metadata feature to SegmentLinking/cmssw, adding a bestTrackType integer to the muon data structure to store the track type used for muon identification. This enables richer muon metadata, improving identification workflows and downstream analyses. No major bugs fixed this month. Overall, the work enhances data quality and enables more granular muon analysis, supporting more precise event selection and faster insights. Technologies demonstrated include CMSSW data structure extension, C++ metadata modeling, and disciplined version control.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Data AnalysisData Analysis ConfigurationPhysics Analysis
Repositories Contributed To
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