lsst-sitcom/notebooks_vandv
May 2025 – May 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
AstropyAutomated Code AnalysisCode FormattingData AnalysisData VisualizationJupyter Notebook
Dominique Boutigny
PROFILE
Dominique Boutigny
During May 2025, Jean-François Boutigny developed a vibration analysis notebook for the lsst-sitcom/notebooks_vandv repository, establishing a baseline for the M1M3 Vibration Monitor System. He used Python, Jupyter Notebook, and libraries such as Pandas and SciPy to retrieve and process VMS data, analyze power spectral density, and visualize spectrograms and displacement metrics across varying fan speeds and telescope elevations. To improve maintainability, he applied automated code formatting and readability enhancements using Ruff, refactoring imports and simplifying conditionals. His work provided a reproducible framework for future performance monitoring, supporting faster data-driven decisions and streamlined onboarding for new contributors.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
1,055
Activity Months1
Your Network
18 peopleSame Organization
@in2p3.fr2
Shared Repositories
16
Work History
May 2025
2 Commits • 2 Features
May 1, 20252025-05 monthly summary focusing on business value and technical achievements. Key accomplishments include the delivery of a M1M3 VMS Vibration Analysis Notebook to establish a vibration baseline and assess FCU speed/elevation impacts, plus code quality improvements via Ruff that enhance maintainability without changing functionality. No major bugs reported this period; quality work completed to enable faster data-driven decisions and future analyses.
2 Commits • 2 Features
May 1, 20252025-05 monthly summary focusing on business value and technical achievements. Key accomplishments include the delivery of a M1M3 VMS Vibration Analysis Notebook to establish a vibration baseline and assess FCU speed/elevation impacts, plus code quality improvements via Ruff that enhance maintainability without changing functionality. No major bugs reported this period; quality work completed to enable faster data-driven decisions and future analyses.
May 2025
Activity
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Quality Metrics
Correctness95.0%
Maintainability90.0%
Architecture90.0%
Performance85.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
AstropyAutomated Code AnalysisCode FormattingData AnalysisData VisualizationJupyter NotebookLSST EFD ClientMatplotlibPandasPythonSciPySignal ProcessingTime Series Analysis
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline