LDMX-Software/pflib
Jul 2025 – Aug 2025
2 Months active
Languages Used
C++JSONPythonShellBoost.JSONC
Technical Skills
CalibrationData AcquisitionData AnalysisData VisualizationEmbedded SystemsFirmware Development
taylorjcolaizzi
PROFILE
Taylorjcolaizzi
During two months on the LDMX-Software/pflib repository, Zixuan Kuang developed and enhanced calibration tooling to improve measurement accuracy and automation in embedded data acquisition systems. He implemented clock phase and Time-of-Arrival (TOA) calibration workflows, introducing new C++ tasks for phase and TOA scans, and integrated Python scripts for data analysis, plotting, and configuration generation. His work included updating charge injection scan configurations and refactoring the TOA alignment process to support scalable, automated studies. By combining C++ and Python with skills in scientific computing and signal processing, Zixuan delivered robust, maintainable solutions that advanced the reliability of calibration procedures.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
4
Lines of code
1,471
Activity Months2
Your Network
48 people
Work History
August 2025
3 Commits • 1 Features
Aug 1, 2025August 2025 (2025-08) monthly summary for LDMX-Software/pflib: Focused on delivering Time-of-Arrival (TOA) calibration tooling and improving alignment reliability. Implemented TOA Calibration Tooling with trim_toa scan and vref_scan, including Python scripts for data analysis, plotting, and configuration generation, plus a new C++ task to execute the TOA scan. Refactored the TOA alignment workflow to integrate a dedicated vref_scan implementation and fixed a boundary bug to enforce the correct max trim_toa (63). This work enhances measurement accuracy, enables automated analysis, and establishes a scalable foundation for batch TOA studies across datasets.
3 Commits • 1 Features
Aug 1, 2025August 2025 (2025-08) monthly summary for LDMX-Software/pflib: Focused on delivering Time-of-Arrival (TOA) calibration tooling and improving alignment reliability. Implemented TOA Calibration Tooling with trim_toa scan and vref_scan, including Python scripts for data analysis, plotting, and configuration generation, plus a new C++ task to execute the TOA scan. Refactored the TOA alignment workflow to integrate a dedicated vref_scan implementation and fixed a boundary bug to enforce the correct max trim_toa (63). This work enhances measurement accuracy, enables automated analysis, and establishes a scalable foundation for batch TOA studies across datasets.
August 2025
July 2025
4 Commits • 3 Features
Jul 1, 2025July 2025 (LDMX-Software/pflib) — This period focused on delivering calibration enhancements that improve measurement accuracy, automation, and data handling within the pflib module. No major bugs were reported during the month.
July 2025
4 Commits • 3 Features
Jul 1, 2025July 2025 (LDMX-Software/pflib) — This period focused on delivering calibration enhancements that improve measurement accuracy, automation, and data handling within the pflib module. No major bugs were reported during the month.
Activity
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Quality Metrics
Correctness84.4%
Maintainability82.8%
Architecture82.8%
Performance74.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Boost.JSONCC++JSONPythonShell
Technical Skills
Algorithm DevelopmentCalibrationConfiguration ManagementData AcquisitionData AnalysisData VisualizationEmbedded SystemsFirmware DevelopmentPlottingScientific ComputingScriptingSignal ProcessingTest Automation
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