spacetelescope/hst_notebooks
Jan 2025 – Jan 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
AstrophysicsData AnalysisImage ProcessingJupyterPythonScientific Computing
Roberto J. Avila
PROFILE
Roberto J. Avila
Worked on enhancing the Drizzlepac notebook workflow in the spacetelescope/hst_notebooks repository, focusing on improving image sampling and World Coordinate System (WCS) handling for astrophysics data analysis. Implemented a WCS reset to its a priori state, preserving relative alignment and sharp point spread functions during the drizzling process. Updated documentation and visualizations to provide clearer guidance on plate-scale selection and final_pixfrac optimization, making the workflow more reproducible for scientific computing tasks. Utilized Python and Jupyter Notebook, along with image processing techniques, to refine code structure, imports, and user instructions, resulting in higher quality and more reliable drizzle results.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
136
Activity Months1
Your Network
48 peopleWork History
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for spacetelescope/hst_notebooks focusing on enhancing the Drizzlepac notebook workflow for image sampling, WCS handling, and user guidance. Implemented a WCS reset to a priori state to preserve relative alignment and sharp PSFs during drizzling. Updated documentation, imports (including stwcs), and plots to improve clarity and reproducibility, facilitating more reliable drizzle results across analyses.
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for spacetelescope/hst_notebooks focusing on enhancing the Drizzlepac notebook workflow for image sampling, WCS handling, and user guidance. Implemented a WCS reset to a priori state to preserve relative alignment and sharp PSFs during drizzling. Updated documentation, imports (including stwcs), and plots to improve clarity and reproducibility, facilitating more reliable drizzle results across analyses.
January 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
AstrophysicsData AnalysisImage ProcessingJupyterPythonScientific Computing
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