SegmentLinking/cmssw
Jan 2025 – Jan 2025
1 Month active
Languages Used
C++Python
Technical Skills
C++ DevelopmentData AnalysisData TypesPhysics SimulationSoftware Development
Nicholas
PROFILE
Nicholas
During January 2025, Nuno Pinto enhanced the SegmentLinking/cmssw repository by developing lineage indexing features for LHE particle data. He introduced new fields to the LHETable, enabling precise tracing of each particle’s first and last mother within the LHEPart collection, which improved data quality for downstream physics analyses. Nuno migrated index storage from short_t to int16_t, optimizing both memory usage and performance. His work involved C++ development and data analysis, with careful attention to data types and physics simulation requirements. The integration into CMSSW15 reflected a focused, in-depth engineering effort that addressed both functional and performance aspects of the codebase.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
31
Activity Months1
Your Network
90 peopleSame Organization
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Work History
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 (2025-01): Delivered LHE particle lineage indexing enhancements in SegmentLinking/cmssw, enabling precise tracing of particle lineage across events and improving data quality for downstream analyses. Implemented new LHETable fields firstMotherIdx and lastMotherIdx, and migrated index storage to int16_t to optimize memory usage and performance. CMSSW15 integration milestone achieved with code push and data-model updates.
2 Commits • 1 Features
Jan 1, 2025January 2025 (2025-01): Delivered LHE particle lineage indexing enhancements in SegmentLinking/cmssw, enabling precise tracing of particle lineage across events and improving data quality for downstream analyses. Implemented new LHETable fields firstMotherIdx and lastMotherIdx, and migrated index storage to int16_t to optimize memory usage and performance. CMSSW15 integration milestone achieved with code push and data-model updates.
January 2025
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
C++ DevelopmentData AnalysisData TypesPhysics SimulationSoftware Development
Repositories Contributed To
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