
Over four months, Cam Zichy developed and maintained scientific analysis and tutorial notebooks in the rubin-dp0/dp1-sci-prep-seminars and lsst/tutorial-notebooks repositories. Cam delivered features such as Milky Way dust extinction correction tutorials and PSF photometry workflows, focusing on reproducibility, clarity, and instructional value. Using Python, Jupyter Notebooks, and Astropy, Cam refined data querying, visualization, and FITS file handling, while improving documentation and code quality through linting and metadata updates. The work emphasized maintainability and stakeholder confidence by standardizing processes, clarifying scientific parameters, and aligning with project governance, resulting in robust, educational resources for astronomy data analysis.

September 2025 monthly summary for the lsst/tutorial-notebooks project, focusing on delivering business value through educational, reproducible notebooks and quality improvements. The work centralized on three pillars: delivering feature-rich tutorials for Milky Way dust extinction and PSF photometry; maintaining notebook quality and reproducibility; and fixing code quality issues to reduce future maintenance overhead. The month also emphasized aligning with ticketing processes to ensure traceability and governance around changes.
September 2025 monthly summary for the lsst/tutorial-notebooks project, focusing on delivering business value through educational, reproducible notebooks and quality improvements. The work centralized on three pillars: delivering feature-rich tutorials for Milky Way dust extinction and PSF photometry; maintaining notebook quality and reproducibility; and fixing code quality issues to reduce future maintenance overhead. The month also emphasized aligning with ticketing processes to ensure traceability and governance around changes.
Monthly summary for 2025-08 focusing on delivering a new PSF photometry tutorial and associated quality improvements in the lsst/tutorial-notebooks repository. Highlights include delivering a reproducible PSF photometry notebook for the Fornax field, refining metadata and learning objectives, and applying code-quality cleanup to address Flake8 warnings. No major bugs fixed this month; the work emphasizes business value by enabling researchers to perform end-to-end PSF photometry analysis, compare PSF and aperture fluxes, and visualize PSF residuals within a ready-to-run notebook. The effort demonstrates strong maintainability, documentation, and alignment with project standards.
Monthly summary for 2025-08 focusing on delivering a new PSF photometry tutorial and associated quality improvements in the lsst/tutorial-notebooks repository. Highlights include delivering a reproducible PSF photometry notebook for the Fornax field, refining metadata and learning objectives, and applying code-quality cleanup to address Flake8 warnings. No major bugs fixed this month; the work emphasizes business value by enabling researchers to perform end-to-end PSF photometry analysis, compare PSF and aperture fluxes, and visualize PSF residuals within a ready-to-run notebook. The effort demonstrates strong maintainability, documentation, and alignment with project standards.
May 2025: Delivered targeted enhancements to rubin-dp0/dp1-sci-prep-seminars, strengthening notebook quality, data documentation, and FITS-based data workflows. Improvements include S/G separation visualization, cleanup of embedded images, typo fixes, DP0.2 Object table parameter refExtendedness clarification, explicit column naming for FITS reads and distance calculations, and plotting refinements. These changes improve accuracy, reproducibility, and stakeholder confidence in scientific prep seminars and data analysis results.
May 2025: Delivered targeted enhancements to rubin-dp0/dp1-sci-prep-seminars, strengthening notebook quality, data documentation, and FITS-based data workflows. Improvements include S/G separation visualization, cleanup of embedded images, typo fixes, DP0.2 Object table parameter refExtendedness clarification, explicit column naming for FITS reads and distance calculations, and plotting refinements. These changes improve accuracy, reproducibility, and stakeholder confidence in scientific prep seminars and data analysis results.
Summary for 2025-04 focusing on delivering data visualization demos, refining analysis pipelines, and maintaining repo hygiene for dp1-sci-prep-seminars. Delivered CMD/CCD demo materials, improved star-galaxy separation workflow, and removed obsolete tutorials to reduce confusion. No major bugs closed this month; emphasis on features, documentation, and process discipline.
Summary for 2025-04 focusing on delivering data visualization demos, refining analysis pipelines, and maintaining repo hygiene for dp1-sci-prep-seminars. Delivered CMD/CCD demo materials, improved star-galaxy separation workflow, and removed obsolete tutorials to reduce confusion. No major bugs closed this month; emphasis on features, documentation, and process discipline.
Overview of all repositories you've contributed to across your timeline