SBNSoftware/sbndaq-artdaq
Nov 2024 – Feb 2025
4 Months active
Languages Used
C++
Technical Skills
Data AcquisitionEmbedded SystemsFirmware IntegrationReal-time SystemsSignal ProcessingBug Fixing
lynnt20
PROFILE
Lynnt20
Lynn Tung developed and enhanced data acquisition and processing features for the SBNSoftware/sbndaq-artdaq repository over four months, focusing on timing accuracy, data quality, and configuration reliability. Working primarily in C++ on embedded and real-time systems, Lynn refactored timing logic to support multiple reference types, improved waveform handling for robust metric extraction, and optimized configuration defaults to reduce operational risk. She addressed bugs affecting timestamp precision and metric consistency, implemented targeted data filtering, and ensured production-ready code through systematic debugging and code cleanup. Lynn’s work demonstrated depth in firmware integration, error handling, and maintainable software trigger development for DAQ pipelines.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
11Total
Bugs
5
Commits
11
Features
5
Lines of code
476
Activity Months4
Work History
February 2025
2 Commits
Feb 1, 2025February 2025: Delivered two targeted bug fixes in SBNDaq-artdaq that strengthen data quality and measurement reliability. Refactored peakPE calculation to align with peaktime so both derive from the same waveform point, and refined gate HLT timestamp logic to apply correct conditions for beam vs offbeam streams, improving gated event timestamp accuracy. These changes enhance metric consistency, timestamp precision, and overall pipeline reliability.
2 Commits
Feb 1, 2025February 2025: Delivered two targeted bug fixes in SBNDaq-artdaq that strengthen data quality and measurement reliability. Refactored peakPE calculation to align with peaktime so both derive from the same waveform point, and refined gate HLT timestamp logic to apply correct conditions for beam vs offbeam streams, improving gated event timestamp accuracy. These changes enhance metric consistency, timestamp precision, and overall pipeline reliability.
February 2025
January 2025
3 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for SBNSoftware/sbndaq-artdaq: Implemented key timing and robustness improvements to support +light streams and improve data reliability. Delivered PTB timing reference support with refactored timing logic to enable accurate timestamping and cross-type event correlation; hardened PMTMetricProducer against missing PTB fragments; and optimized default PMT configuration to better align with current DAQ performance and real-time processing. These changes enhance data quality, stability, and processing efficiency for DAQ workflows.
January 2025
3 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for SBNSoftware/sbndaq-artdaq: Implemented key timing and robustness improvements to support +light streams and improve data reliability. Delivered PTB timing reference support with refactored timing logic to enable accurate timestamping and cross-type event correlation; hardened PMTMetricProducer against missing PTB fragments; and optimized default PMT configuration to better align with current DAQ performance and real-time processing. These changes enhance data quality, stability, and processing efficiency for DAQ workflows.
December 2024
4 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for SBNSoftware/sbndaq-artdaq. Delivered robustness improvements to PMTMetricProducer, extended trigger timing features, and timing accuracy refinements for software triggers. These changes enhanced data integrity, expanded analysis capabilities, and production readiness across the data acquisition pipeline. Overall, the work increased reliability of waveform handling, enabled richer timing analyses, and reduced debugging effort in production.
4 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for SBNSoftware/sbndaq-artdaq. Delivered robustness improvements to PMTMetricProducer, extended trigger timing features, and timing accuracy refinements for software triggers. These changes enhanced data integrity, expanded analysis capabilities, and production readiness across the data acquisition pipeline. Overall, the work increased reliability of waveform handling, enabled richer timing analyses, and reduced debugging effort in production.
December 2024
November 2024
2 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for SBNSoftware/sbndaq-artdaq focusing on timing accuracy, data quality, and configuration hardening. Delivered robust CAEN FTRIG timing calculation, enhanced PMT metrics labeling and filtering, and improved maintainability through configuration cleanup and data handling safeguards. These changes reduce timing ambiguity in analyses, enable targeted data filtering, and lower operational risk due to misconfigurations.
November 2024
2 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for SBNSoftware/sbndaq-artdaq focusing on timing accuracy, data quality, and configuration hardening. Delivered robust CAEN FTRIG timing calculation, enhanced PMT metrics labeling and filtering, and improved maintainability through configuration cleanup and data handling safeguards. These changes reduce timing ambiguity in analyses, enable targeted data filtering, and lower operational risk due to misconfigurations.
Activity
Loading activity data...
Quality Metrics
Correctness81.8%
Maintainability81.8%
Architecture70.8%
Performance65.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
Bug FixBug FixingC++Code CleanupConfiguration ManagementData AcquisitionData Acquisition SystemsData AnalysisData ProcessingDebuggingEmbedded SystemsError HandlingFirmware IntegrationReal-time SystemsSignal Processing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline