December 2024 performance summary for lsst-ts/ts_wep: Delivered forward modeling enhancements with blend flux ratios, donut miscentering, and a pseudo-Poissonian noise model. Updated tests and documentation, and clarified miscenter defaults to prevent pixel aliasing in wavefront error analysis. These changes improve realism of simulations, reduce calibration risk, and prepare for more complex blend scenarios.

November 2024 performance highlights across lsst-ts/ts_wep and lsst-ts/donut_viz. Key features delivered include TIE algorithm enhancements with convergence control and centralized binning config, and Release 1.1.2 docs plus robust intrinsic data slicing. Major bugs fixed include intrinsic array sizing mismatch in plotting, ensuring data consistency for analysis and visualization. Overall, the work increased analysis reliability, plotting stability, and release readiness. Technologies demonstrated include Python, data handling, array slicing, plotting, and release/version control.

Monthly summary for 2024-10 focusing on key features delivered, major bugs fixed, and overall impact across two repos: lsst-ts/ts_wep and lsst-ts/donut_viz. Emphasis on business value, data quality for visualizations, and reliability of user-facing features.