
During November 2024, Luca Rosignoli enhanced PSF visualization capabilities in the lsst-ts/donut_viz repository by developing a new task for generating and plotting point spread functions from Zernike coefficients, supporting per-detector scatter plots and dynamic panel layouts. He centralized plotting logic and improved documentation, using Python, Astropy, and Matplotlib to ensure correctness and maintainability. In lsst-ts/ts_wep, Luca integrated these visualization features into existing pipelines and removed deprecated configurations, streamlining Rubin data processing workflows. His work improved data quality diagnostics and pipeline reliability, demonstrating depth in scientific computing, configuration management, and code refactoring within astronomy software development.
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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