DUNE/dunereco
Nov 2025 – Nov 2025
1 Month active
Languages Used
JSONJSONNETJavaScript
Technical Skills
configuration managementdata analysisdata configurationdata processingnoise filteringscientific computing
Xuyang Ning
PROFILE
Xuyang Ning
Worked on the DUNE/dunereco repository to enhance noise filtering and enable neural network processing within the project’s signal processing pipeline. Developed a new PDVD noise filter configuration using JSON and JSONNET, introducing defined channel groups and extending the RMS threshold to improve noisy channel tagging. Enabled the neural network framework in the nf-sp configuration, laying the groundwork for future machine learning enhancements in DUNEWireCell. Focused on configuration management, data analysis, and scientific computing, all changes were delivered through clear, traceable commits. The work emphasized maintainability and readiness for ML-driven improvements, with no bugs reported during the development period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
420
Activity Months1
Your Network
28 peopleShared Repositories
28
Aaron HigueraMember
Alex WilkinsonMember
AndyChappellMember
Andrew OlivierMember
Avik GhoshMember
Alejandro YankelevichMember
Jacob CalcuttMember
Dom BrailsfordMember
emanuele-villaMember
Work History
November 2025
3 Commits • 2 Features
Nov 1, 2025November 2025 month-in-review for the DUNE/dunereco repository focused on delivering robust noise filtering capabilities and enabling neural network processing, with clear, traceable commits to support future ML-driven enhancements and maintainability.
3 Commits • 2 Features
Nov 1, 2025November 2025 month-in-review for the DUNE/dunereco repository focused on delivering robust noise filtering capabilities and enabling neural network processing, with clear, traceable commits to support future ML-driven enhancements and maintainability.
November 2025
Activity
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Quality Metrics
Correctness93.4%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage26.6%
Skills & Technologies
Programming Languages
JSONJSONNETJavaScript
Technical Skills
configuration managementdata analysisdata configurationdata processingnoise filteringscientific computingsignal processing
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