
Over five months, C. Shanahan developed and refined scientific analysis notebooks for the spacetelescope/hst_notebooks repository, focusing on astrophysics workflows and data reproducibility. Shanahan built features such as automated Line Spread Function data acquisition, reproducible environment setup, and cross-instrument documentation improvements, using Python, Jupyter Notebooks, and shell scripting. Their work included code refactoring for maintainability, LaTeX rendering fixes for accurate scientific plotting, and metadata standardization to streamline onboarding and execution. By addressing environment compatibility, documentation clarity, and workflow automation, Shanahan delivered robust, user-friendly tools that improved reliability, reproducibility, and usability for researchers working with HST spectroscopic and imaging data.

September 2025 focused on improving documentation quality and reproducibility in spacetelescope/hst_notebooks. Delivered comprehensive documentation cleanup and readability improvements across COS, STIS, DrizzlePac, and WFC3 notebooks, standardized style, clarified units, and removed visual clutter such as unnecessary horizontal rules. Updated notebook environment notes, including Python version, to ensure consistent execution and smoother onboarding. Initiated HTML build readiness with incremental style fixes and commits. No major defect fixes were identified this month; efforts centered on maintainability and build hygiene, laying groundwork for more rapid iteration and fewer user support issues.
September 2025 focused on improving documentation quality and reproducibility in spacetelescope/hst_notebooks. Delivered comprehensive documentation cleanup and readability improvements across COS, STIS, DrizzlePac, and WFC3 notebooks, standardized style, clarified units, and removed visual clutter such as unnecessary horizontal rules. Updated notebook environment notes, including Python version, to ensure consistent execution and smoother onboarding. Initiated HTML build readiness with incremental style fixes and commits. No major defect fixes were identified this month; efforts centered on maintainability and build hygiene, laying groundwork for more rapid iteration and fewer user support issues.
August 2025 monthly summary for spacetelescope/hst_notebooks. Focused on delivering a cohesive UX and metadata improvements across ACS notebooks, plus targeted fixes to improve reliability and reproducibility. Highlights include unified notebook UX enhancements, environment metadata updates, and a bug fix that eliminates a ModuleNotFoundError in the ACS SBC dark analysis notebook.
August 2025 monthly summary for spacetelescope/hst_notebooks. Focused on delivering a cohesive UX and metadata improvements across ACS notebooks, plus targeted fixes to improve reliability and reproducibility. Highlights include unified notebook UX enhancements, environment metadata updates, and a bug fix that eliminates a ModuleNotFoundError in the ACS SBC dark analysis notebook.
June 2025 monthly summary for spacetelescope/hst_notebooks: Focused on reliability, clarity, and deployment readiness of notebooks. Key outcomes include fixing a script termination issue in pre-requisites, improving user clarity and Python environment compatibility in the ACS Reduction notebook, and implementing a controlled revert to maintain deploy stability. These changes reduce environment-specific failures, streamline onboarding, and strengthen notebook deployment workflows, enabling smoother adoption and reuse across teams.
June 2025 monthly summary for spacetelescope/hst_notebooks: Focused on reliability, clarity, and deployment readiness of notebooks. Key outcomes include fixing a script termination issue in pre-requisites, improving user clarity and Python environment compatibility in the ACS Reduction notebook, and implementing a controlled revert to maintain deploy stability. These changes reduce environment-specific failures, streamline onboarding, and strengthen notebook deployment workflows, enabling smoother adoption and reuse across teams.
May 2025 performance summary for spacetelescope/hst_notebooks: Key features delivered include automated LSF data acquisition and configuration fetch; reproducible environment setup with a requirements.txt and extended dependencies; and notebook code quality improvements for readability and maintainability. Major bugs fixed include LaTeX rendering in COSLifetimePositions plots by correcting escape characters and resetting notebook state to ensure proper rendering. Overall impact: streamlined COSLifetimePositions workflows, faster onboarding and reproducible environments, reduced maintenance overhead, and more reliable notebook execution. Technologies demonstrated: Python notebook refactoring, environment and dependency management, automation, build reproducibility, and LaTeX rendering handling in plots.
May 2025 performance summary for spacetelescope/hst_notebooks: Key features delivered include automated LSF data acquisition and configuration fetch; reproducible environment setup with a requirements.txt and extended dependencies; and notebook code quality improvements for readability and maintainability. Major bugs fixed include LaTeX rendering in COSLifetimePositions plots by correcting escape characters and resetting notebook state to ensure proper rendering. Overall impact: streamlined COSLifetimePositions workflows, faster onboarding and reproducible environments, reduced maintenance overhead, and more reliable notebook execution. Technologies demonstrated: Python notebook refactoring, environment and dependency management, automation, build reproducibility, and LaTeX rendering handling in plots.
March 2025 monthly summary for spacetelescope/hst_notebooks focusing on delivering the COS LSF-aware Spectral Analysis Notebook that educates users on handling COS spectra with varying line-spread functions and instrumental effects, with clear impact on research reproducibility and data quality.
March 2025 monthly summary for spacetelescope/hst_notebooks focusing on delivering the COS LSF-aware Spectral Analysis Notebook that educates users on handling COS spectra with varying line-spread functions and instrumental effects, with clear impact on research reproducibility and data quality.
Overview of all repositories you've contributed to across your timeline