
During November 2024, Luca Rosignoli enhanced the lsst-ts/donut_viz repository by developing end-to-end PSF visualization features, including a new task for generating and plotting PSFs from Zernike coefficients with dynamic, per-detector layouts and RubinTV integration. He refactored the plotting infrastructure for consistency and centralized logic, improving maintainability and documentation. In lsst-ts/ts_wep, Luca integrated PSF Zernike plotting into existing pipelines and removed deprecated configurations to streamline workflows. His work leveraged Python, Astropy, and Matplotlib, resulting in more reliable PSF diagnostics, reduced maintenance overhead, and improved data visualization pipelines for Rubin Observatory’s scientific computing environment.

November 2024 performance summary for lsst-ts/donut_viz and lsst-ts/ts_wep. Delivered end-to-end PSF visualization enhancements with Zernike-based PSF plotting across donut_viz, including per-detector PSF panels, dynamic layout support, and RubinTV upload integration. Improved plotting infrastructure, centralized plotting logic, and comprehensive documentation. Cleaned up deprecated pipeline configurations to reduce noise and maintenance burden, and integrated PSF plotting into existing visualization pipelines in ts_wep. These changes strengthen data quality diagnostics, pipeline reliability, and cross-repo consistency with minimal runtime impact.
November 2024 performance summary for lsst-ts/donut_viz and lsst-ts/ts_wep. Delivered end-to-end PSF visualization enhancements with Zernike-based PSF plotting across donut_viz, including per-detector PSF panels, dynamic layout support, and RubinTV upload integration. Improved plotting infrastructure, centralized plotting logic, and comprehensive documentation. Cleaned up deprecated pipeline configurations to reduce noise and maintenance burden, and integrated PSF plotting into existing visualization pipelines in ts_wep. These changes strengthen data quality diagnostics, pipeline reliability, and cross-repo consistency with minimal runtime impact.
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