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
During January 2025, Avila enhanced the Drizzlepac notebook workflow in the spacetelescope/hst_notebooks repository, focusing on image sampling and WCS handling for astrophysics data analysis. Avila implemented a method to reset the WCS solution to its a priori state, preserving relative alignment and maintaining sharp PSFs during the drizzling process. The work included updating documentation, refining the table of contents, and improving user guidance on plate-scale selection and final_pixfrac optimization. Using Python and Jupyter Notebook, Avila’s contributions improved reproducibility and clarity for scientific computing workflows, resulting in more reliable and higher quality drizzle results for notebook users.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
136
Activity Months1
Your Network
47 people
Work 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
Repositories Contributed To
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