DUNE/ndlar_flow
Nov 2024 – Feb 2025
3 Months active
Languages Used
pythonyamlYAML
Technical Skills
Data ConfigurationDebuggingDetector SimulationGeometry DefinitionGeometry ManagementConfiguration Management
AWh1t3
PROFILE
Awh1t3
Andrew White contributed to the DUNE/ndlar_flow repository by developing and refining data calibration and geometry configuration systems for the ND-LAr flow. He enhanced the accuracy of light detection data processing by updating YAML-based geometry definitions and channel mappings, ensuring alignment with the detector’s physical layout. Using Python and YAML, Andrew managed calibration data for multiple detector modules, organizing values by channel and parameter to improve traceability and downstream processing. His work included targeted bug fixes and ongoing calibration refinements, resulting in higher-quality data, improved maintainability, and more reliable workflows for detector simulation and signal processing within the project.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
3
Lines of code
309
Activity Months3
Your Network
111 people
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025: Delivered targeted waveform calibration refinement in DUNE/ndlar_flow. Updated WaveformCalib.yaml to improve data processing accuracy for Mod 1-3; Mod 0 calibration remains an open area. Result: higher-quality data for downstream analyses and more robust monitoring of the light detection system.
1 Commits • 1 Features
Feb 1, 2025February 2025: Delivered targeted waveform calibration refinement in DUNE/ndlar_flow. Updated WaveformCalib.yaml to improve data processing accuracy for Mod 1-3; Mod 0 calibration remains an open area. Result: higher-quality data for downstream analyses and more robust monitoring of the light detection system.
February 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024: Delivered targeted waveform calibration update for the July 2x2 run in DUNE/ndlar_flow, enhancing signal processing accuracy and detector calibration for the ND-LAr flow. The change adds July 2x2 calibration values to WaveformCalib.yaml, organized by channel and parameter to improve traceability and downstream processing. This work is anchored by commit e3b88c9dce2b666fafbcbc1dd22f75c09dbae3df, which adds calibration values from the July 2x2 run. No major bugs fixed this month; ongoing monitoring of calibration data quality continues. Overall impact: improved data quality and reliability for calibration workflows, enabling more accurate physics analyses and better detector performance. Technologies/skills demonstrated: YAML-based calibration data management, version control and traceability, dataset organization by channel/parameter, and alignment with ND-LAr flow calibration workflow.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024: Delivered targeted waveform calibration update for the July 2x2 run in DUNE/ndlar_flow, enhancing signal processing accuracy and detector calibration for the ND-LAr flow. The change adds July 2x2 calibration values to WaveformCalib.yaml, organized by channel and parameter to improve traceability and downstream processing. This work is anchored by commit e3b88c9dce2b666fafbcbc1dd22f75c09dbae3df, which adds calibration values from the July 2x2 run. No major bugs fixed this month; ongoing monitoring of calibration data quality continues. Overall impact: improved data quality and reliability for calibration workflows, enabling more accurate physics analyses and better detector performance. Technologies/skills demonstrated: YAML-based calibration data management, version control and traceability, dataset organization by channel/parameter, and alignment with ND-LAr flow calibration workflow.
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024: Delivered critical accuracy improvements and a key bug fix in the DUNE/ndlar_flow codebase, reinforcing data quality and maintainability for the FSD flow.
2 Commits • 1 Features
Nov 1, 2024November 2024: Delivered critical accuracy improvements and a key bug fix in the DUNE/ndlar_flow codebase, reinforcing data quality and maintainability for the FSD flow.
November 2024
Activity
Loading activity data...
Quality Metrics
Correctness85.0%
Maintainability85.0%
Architecture80.0%
Performance75.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
YAMLpythonyaml
Technical Skills
Configuration ManagementData CalibrationData ConfigurationDebuggingDetector SimulationGeometry DefinitionGeometry Management
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline