
In July 2025, Ryon developed the ACS Data Quality Investigation Notebook for the spacetelescope/hst_notebooks repository, addressing the need for streamlined data quality assessment in Hubble Space Telescope observations. Leveraging Python, Jupyter Notebooks, and FITS file handling, Ryon implemented an end-to-end workflow that guides users through data download, visualization, and header keyword inspection, with optional PSF assessment using hst1pass. This notebook enables researchers to efficiently triage issues flagged by HST Exception Reports and supports decision-making for Hubble Observation Problem Reports. The work demonstrated depth in astronomy data processing and scientific computing, enhancing troubleshooting reliability for both researchers and support staff.

Concise monthly summary for 2025-07 focusing on key features delivered, major bugs fixed, impact, and technologies demonstrated for the spacetelescope/hst_notebooks project.
Concise monthly summary for 2025-07 focusing on key features delivered, major bugs fixed, impact, and technologies demonstrated for the spacetelescope/hst_notebooks project.
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