SBNSoftware/sbndaq-artdaq
Oct 2024 – Nov 2024
2 Months active
Languages Used
C++
Technical Skills
Data AcquisitionEmbedded SystemsFirmware AnalysisLow-Level ProgrammingTimestamp Handling
Max Dubnowski
PROFILE
Max Dubnowski
Max developed and enhanced data acquisition features for the SBNSoftware/sbndaq-artdaq repository, focusing on accurate exposure accounting and trigger analysis. He implemented 192-bit word support and a gate counter to improve data quality, refactored fragment creation with a new BoardReader structure, and introduced a hybrid timestamp generation scheme for consistent trigger data. In the following month, Max added metadata versioning to ArtDAQ Fragments, enabling better data provenance and debugging. His work relied on C++ and low-level programming, with a strong emphasis on embedded systems and firmware analysis, demonstrating depth in both architectural improvements and detailed data handling workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
197
Activity Months2
Your Network
11 people
Work History
November 2024
1 Commits • 1 Features
Nov 1, 2024Month: 2024-11 | Focused on adding metadata versioning to ArtDAQ Fragments to improve data provenance and debugability; implemented minimal instrumentation and prepared metadata verification hooks.
1 Commits • 1 Features
Nov 1, 2024Month: 2024-11 | Focused on adding metadata versioning to ArtDAQ Fragments to improve data provenance and debugability; implemented minimal instrumentation and prepared metadata verification hooks.
November 2024
October 2024
2 Commits • 2 Features
Oct 1, 2024October 2024 performance summary for SBNSoftware/sbndaq-artdaq: Implemented 192-bit word support across the exposure accounting and HL Trigger analysis paths, with a gate counter for exposure accounting and a BoardReader extension to store previous HLT timestamps. Refactored fragment creation to a new BoardReader words structure and added a hybrid timestamp generation scheme to improve trigger data consistency. These changes directly enhance data quality and reliability of exposure measurements and HL Trigger analytics, enabling more accurate data capture, better analytics readiness, and a stronger foundation for future trigger workflows.
October 2024
2 Commits • 2 Features
Oct 1, 2024October 2024 performance summary for SBNSoftware/sbndaq-artdaq: Implemented 192-bit word support across the exposure accounting and HL Trigger analysis paths, with a gate counter for exposure accounting and a BoardReader extension to store previous HLT timestamps. Refactored fragment creation to a new BoardReader words structure and added a hybrid timestamp generation scheme to improve trigger data consistency. These changes directly enhance data quality and reliability of exposure measurements and HL Trigger analytics, enabling more accurate data capture, better analytics readiness, and a stronger foundation for future trigger workflows.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
Data AcquisitionEmbedded SystemsFirmware AnalysisLow-Level ProgrammingTimestamp Handling
Repositories Contributed To
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