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noeroy

PROFILE

Noeroy

Noé Roy-Lamoureux enhanced data processing pipelines in the DUNE/2x2_sim and DUNE/ndlar_flow repositories by modernizing dependencies and introducing advanced waveform processing features. Using Python and scientific computing libraries such as NumPy and SciPy, Noé developed modular tools for noise filtering and hit detection, enabling flexible multi-path light reconstruction workflows. The work included upgrading core libraries and refining configuration management to support rapid experimentation and maintainability. In DUNE/ndlar_flow, Noé also addressed a boundary condition bug in the Hit Finder, improving hit detection reliability through careful signal processing and defensive programming, demonstrating depth in both feature development and robust code quality.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

5Total
Bugs
1
Commits
5
Features
2
Lines of code
875
Activity Months2

Work History

April 2025

1 Commits

Apr 1, 2025

April 2025 (2025-04) performance summary for DUNE/ndlar_flow. Key feature delivered: a robust boundary-aware fix to the Hit Finder to clip peak indices to waveform bounds, preventing out-of-bounds access during peak extraction. This bug fix enhances hit-detection reliability and data quality. Impact includes increased pipeline stability and smoother downstream processing. Demonstrated skills in defensive programming, precise boundary checks, and clear, traceable changes through commits.

February 2025

4 Commits • 2 Features

Feb 1, 2025

February 2025 monthly summary: Delivered a major dependency modernization and waveform processing enhancements across DUNE/2x2_sim and DUNE/ndlar_flow. Upgraded MiniRun6.2 libraries (ND_CAFMaker, larcv2, SuperaAtomic, flow2supera, spine) and updated ARCUBE_SPINE_CONFIG in DUNE/2x2_sim, with ndlar_flow aligned to include the latest features and bug fixes from dependencies, enabling newer functionality and improved stability. In DUNE/ndlar_flow, added WaveformNoiseFilter and WaveformHitFinder, plus alternative configuration files to enable multiple processing paths in light reconstruction. Performed cleanup by removing an obsolete alternative noise filter, reducing configuration complexity. These changes improve data quality, processing flexibility, and maintainability, accelerating experimentation and deployment of improved reconstruction algorithms.

Activity

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Quality Metrics

Correctness82.0%
Maintainability80.0%
Architecture78.0%
Performance64.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

PythonShellYAML

Technical Skills

Data AnalysisData ConfigurationData ProcessingDependency ManagementH5FlowHDF5NumPySciPyScientific ComputingShell ScriptingSignal ProcessingWorkflow Management

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

DUNE/ndlar_flow

Feb 2025 Apr 2025
2 Months active

Languages Used

PythonYAML

Technical Skills

Data AnalysisData ConfigurationData ProcessingH5FlowHDF5NumPy

DUNE/2x2_sim

Feb 2025 Feb 2025
1 Month active

Languages Used

Shell

Technical Skills

Dependency ManagementShell Scripting

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