lsst-sitcom/notebooks_vandv
Nov 2024 – Nov 2024
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Data AnalysisDocumentationSignal ProcessingTechnical Writing
Kelks19
PROFILE
Kelks19
Kshitija worked on enhancing vibration data analysis and reporting for MTM2 hexapods in the lsst-sitcom/notebooks_vandv repository. She consolidated feedback from PR-146 by refining the Jupyter Notebook and associated documentation, focusing on clearer descriptions of observed peak and harmonic frequencies in motor current sensors during TEA vibration events. Using Python and her skills in data analysis, signal processing, and technical writing, she corrected typos, clarified technical points, and updated discussion sections to improve report clarity and reproducibility. Her work addressed stakeholder needs for precise, traceable reporting, demonstrating depth in both technical analysis and effective scientific communication.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
112
Activity Months1
Work History
November 2024
2 Commits • 1 Features
Nov 1, 2024Concise monthly summary for 2024-11 focusing on Vibration Data Analysis Reporting Enhancements in lsst-sitcom/notebooks_vandv. Consolidated two commits addressing PR-146 feedback to refine vibration data analysis and reporting for MTM2 hexapods; corrected typos, clarified observed frequencies, and updated discussion points in the vibration analysis report and related Jupyter Notebook, including precise descriptions of peak and harmonic frequencies in motor current sensors during TEA vibration events. This work improves report clarity, reproducibility, and stakeholder confidence.
2 Commits • 1 Features
Nov 1, 2024Concise monthly summary for 2024-11 focusing on Vibration Data Analysis Reporting Enhancements in lsst-sitcom/notebooks_vandv. Consolidated two commits addressing PR-146 feedback to refine vibration data analysis and reporting for MTM2 hexapods; corrected typos, clarified observed frequencies, and updated discussion points in the vibration analysis report and related Jupyter Notebook, including precise descriptions of peak and harmonic frequencies in motor current sensors during TEA vibration events. This work improves report clarity, reproducibility, and stakeholder confidence.
November 2024
Activity
Loading activity data...
Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Data AnalysisDocumentationSignal ProcessingTechnical Writing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline